From cdf5e1d5b9b670315a79b0ef91539196202ad536 Mon Sep 17 00:00:00 2001 From: danbiber Date: Tue, 3 Jun 2025 13:55:21 -0400 Subject: [PATCH 001/108] adding the VPODC notebook file to the container --- .../VPODC_data_download_guide.ipynb | 2146 +++++++++++++++++ 1 file changed, 2146 insertions(+) create mode 100644 jupyter-prometheus/combined_demos/VPODC_data_download_guide.ipynb diff --git a/jupyter-prometheus/combined_demos/VPODC_data_download_guide.ipynb b/jupyter-prometheus/combined_demos/VPODC_data_download_guide.ipynb new file mode 100644 index 00000000..6d8fe1f9 --- /dev/null +++ b/jupyter-prometheus/combined_demos/VPODC_data_download_guide.ipynb @@ -0,0 +1,2146 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "tags": [] + }, + "source": [ + "# 🧬 VPODC Cohort File Selection & Download Guide\n", + "### Using Gen3 Client for Automated File Retrieval\n", + "---\n", + "\n", + "**Last Updated**: May 2025 \n", + "**Tools Used**: Python, Gen3 Client, Jupyter Notebook \n", + "\n", + "This notebook provides a step-by-step walkthrough for:\n", + "1. Selecting a VPODC cohort from `Gen3`.\n", + "2. Listing associated VCF object IDs.\n", + "3. Downloading files using the `gen3-client`.\n", + "\n", + "\n", + "---" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## ⚙️ Install the Gen3\n", + "\n", + "Before proceeding, we need to install the [Gen3](https://gen3.org). \n", + "This SDK enables programmatic access to Gen3 commons, including authentication and data submission APIs.\n", + "\n", + "The command below installs the SDK silently (hides verbose output) and prints a short confirmation when done.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Installing Gen3...\n", + "✅ Gen3 installation complete.\n" + ] + } + ], + "source": [ + "# Install the Gen3 Python SDK via pip\n", + "print(\"Installing Gen3...\")\n", + "!pip install --user --force --upgrade gen3 --ignore-installed certifi > /dev/null 2>&1\n", + "print(\"✅ Gen3 installation complete.\")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# Import some Python packages\n", + "import requests, json, fnmatch, os, os.path, sys, subprocess, glob, ntpath, copy, re\n", + "import pandas as pd\n", + "import gen3\n", + "from gen3.auth import Gen3Auth\n", + "from gen3.submission import Gen3Submission" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 📦 Make sure you have a valid profile and credentials configured in your Gen3 client." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "# Set `creds` to the location of your credentials.json downloaded from the \"Profile\" page.\n", + "# This should be the only line you may need to edit for this notebook to work.\n", + "profile = 'vpodc'\n", + "api = 'https://vpodc.data-commons.org'\n", + "creds = '/home/jovyan/pd/vpodc-credentials.json'\n", + "client = '/home/jovyan/pd/.gen3/gen3-client'\n", + "\n", + "auth = Gen3Auth(api, refresh_file=creds)\n", + "sub = Gen3Submission(api, auth)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " % Total % Received % Xferd Average Speed Time Time Time Current\n", + " Dload Upload Total Spent Left Speed\n", + "100 276 100 276 0 0 9399 0 --:--:-- --:--:-- --:--:-- 9517\n", + "unzip: cannot find or open dataclient_linux.zip, dataclient_linux.zip.zip or dataclient_linux.zip.ZIP.\n", + "mv: cannot stat 'gen3-client': No such file or directory\n", + "rm: cannot remove 'dataclient_linux.zip': No such file or directory\n" + ] + } + ], + "source": [ + "# Download the gen3-client (for downloading files) and configure a profile \n", + "!curl https://api.github.com/repos/uc-cdis/cdis-data-client/releases/latest | grep browser_download_url.*linux | cut -d '\"' -f 4 | wget -qi -\n", + "!unzip dataclient_linux.zip\n", + "!mkdir -p /home/jovyan/pd/.gen3\n", + "!mv gen3-client /home/jovyan/pd/.gen3\n", + "!rm dataclient_linux.zip\n", + "\n", + "# Configure a profile\n", + "cmd = client +' configure --profile='+profile+' --apiendpoint='+api+' --cred='+creds\n", + "try:\n", + " output = subprocess.check_output(cmd, stderr=subprocess.STDOUT, shell=True).decode('UTF-8')\n", + "except Exception as e:\n", + " output = e.output.decode('UTF-8')\n", + " print(\"ERROR:\" + output)\n", + "\n", + "# Check authorization privileges\n", + "cmd = client +' auth --profile='+profile\n", + "try:\n", + " output = subprocess.check_output(cmd, stderr=subprocess.STDOUT, shell=True).decode('UTF-8')\n", + " #print(\"\\n\"+output)\n", + "except Exception as e:\n", + " output = e.output.decode('UTF-8')\n", + " #print(\"ERROR:\" + output)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "--2025-05-20 18:51:05-- https://raw.githubusercontent.com/cgmeyer/gen3sdk-python/master/expansion/expansion.py\n", + "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.108.133, 185.199.110.133, 185.199.109.133, ...\n", + "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.108.133|:443... connected.\n", + "HTTP request sent, awaiting response... 200 OK\n", + "Length: 235484 (230K) [text/plain]\n", + "Saving to: ‘expansion.py’\n", + "\n", + "expansion.py 100%[===================>] 229.96K --.-KB/s in 0.002s \n", + "\n", + "2025-05-20 18:51:05 (132 MB/s) - ‘expansion.py’ saved [235484/235484]\n", + "\n" + ] + } + ], + "source": [ + "# Download some extra functions for interacting with APIs\n", + "!rm -f -- expansion.py\n", + "!wget https://raw.githubusercontent.com/cgmeyer/gen3sdk-python/master/expansion/expansion.py\n", + "%run ./expansion.py\n", + "exp = Gen3Expansion(api, auth, sub)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 🔍 Query Primary Site Values from Gen3\n", + "\n", + "We query all available values of `\"PrimarysiteX\"` from the `oncology_primary` node \n", + "within the specified project (`VA-PODR-COHORT-A`) using the `paginate_query` function.\n", + "\n", + "This function helps avoid timeouts by breaking the request into chunks. \n", + "We specifically request the column: \n", + "- `PrimarysiteX` \n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "\tFound 202 records in 'oncology_primary' node of project 'VA-PODR-COHORT-A'. \n", + "\tRecords retrieved: 202 of 202 (100%), offset: 10000, chunk_size: 10000. " + ] + } + ], + "source": [ + "props = ['PrimarysiteX']\n", + "data = exp.paginate_query(node='oncology_primary',project_id='VA-PODR-COHORT-A',props=props,format='tsv', chunk_size=10000)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 🫁 Filter for Lung-Related Sites\n", + "\n", + "From the full list of `PrimarysiteX` values, we filter those containing the string `\"LUNG\"`. \n", + "This gives us a focused list of lung-related primary tumor sites to use in downstream filtering.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['LUNG, LOWER LOBE',\n", + " 'LUNG, UPPER LOBE',\n", + " 'LUNG, MIDDLE LOBE',\n", + " 'LUNG, MAIN BRONCHUS',\n", + " 'LUNG NOS']" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sites = [x for x in list(set(data.PrimarysiteX)) if x is not None]\n", + "lung_sites = [i for i in sites if 'LUNG' in i] \n", + "lung_sites" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 🧬 Retrieve Case Submitter IDs for Lung Cases\n", + "\n", + "Using the filtered `lung_sites`, we call `paginate_query` again to retrieve `submitter_id`s \n", + "associated with lung cases from the `oncology_primary` node.\n", + "\n", + "Each `lung_site` value is used in a query loop to match corresponding entries in Gen3.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "\tFound 1880 records in 'case' node of project 'None'. \n", + "\tRecords retrieved: 1743 of 1880 (92%), offset: 10000, chunk_size: 10000. \n", + "\tFound 4115 records in 'case' node of project 'None'. \n", + "\tRecords retrieved: 3748 of 4115 (91%), offset: 10000, chunk_size: 10000. \n", + "\tFound 318 records in 'case' node of project 'None'. \n", + "\tRecords retrieved: 300 of 318 (94%), offset: 10000, chunk_size: 10000. \n", + "\tFound 231 records in 'case' node of project 'None'. \n", + "\tRecords retrieved: 225 of 231 (97%), offset: 10000, chunk_size: 10000. \n", + "\tFound 878 records in 'case' node of project 'None'. \n", + "\tRecords retrieved: 857 of 878 (97%), offset: 10000, chunk_size: 10000. " + ] + } + ], + "source": [ + "props = ['submitter_id']\n", + "lung_site = lung_sites[0]\n", + "ids = []\n", + "for lung_site in lung_sites:\n", + " args = 'with_path_to:{type:\"oncology_primary\", PrimarysiteX: \"%s\"}' % lung_site\n", + " data = exp.paginate_query(node='case', project_id=None, props=props, args=args, format='tsv', chunk_size=10000)\n", + " ids1 = list(set(data.submitter_id))\n", + " ids += ids1\n", + "case_submitter_ids = list(set(ids))" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "6587" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(case_submitter_ids)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 📄 Extracting Object IDs from Structured Data\n", + "\n", + "We can download all the **structured data** from the data file nodes and use **Pandas** to filter the relevant `object_id`s for download.\n", + "\n", + "#### 🔍 Steps Overview:\n", + "- 🛠️ Use the function `get_node_tsvs` to fetch structured data from a node.\n", + "- 📋 This function returns a **DataFrame** containing fields like:\n", + " - `case_submitter_id`\n", + " - `cases.submitter_id#1` (usually the same as `case_submitter_id`)\n", + "- 🎯 Filter the DataFrame to include only rows where `case_submitter_id` matches one in our predefined list.\n", + "- 📦 Extract the corresponding `object_id`s from those rows.\n", + "- ⬇️ Use the extracted `object_id`s to download the data files with `gen3-client`.\n", + "\n", + "> ✅ This approach ensures you're only downloading the exact files tied to your case list.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Output written to file: node_tsvs/variant_call_file_tsvs/VA-PODR-COHORT-A_variant_call_file.tsv\n", + "node_tsvs/variant_call_file_tsvs/VA-PODR-COHORT-A_variant_call_file.tsv has 152 records.\n", + "length of all dfs: 152\n", + "Master node TSV with 152 total records written to master_variant_call_file.tsv.\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
typeidproject_idsubmitter_iddata_categorydata_formatdata_typefile_namefile_sizemd5sum...state_commentvariant_calling_workflowaligned_reads_files.idaligned_reads_files.submitter_idcases.idcases.submitter_idcore_metadata_collections.idcore_metadata_collections.submitter_idunaligned_reads_files.idunaligned_reads_files.submitter_id
0variant_call_file0034ce46-f41d-42ef-a03c-0333b8081a76VA-PODR-COHORT-AVA-PODR-COHORT-A_C179813604_2_ef1dSimple Nucleotide VariationVCFAnnotated Somatic MutationC179813604_2.vcf1573710931a53640eb6b4d10e5b3262678e61...NaNNaNNaNNaN6c845a82-c75d-4070-8368-d1d9f78f4624C1798136044254caef-09ea-4399-b4ee-bdc271f99037VCF_collection-01NaNNaN
1variant_call_file0367675c-96e2-4626-83c9-da46f0eb9ad7VA-PODR-COHORT-AVA-PODR-COHORT-A_C2040737988_1_a1b4Simple Nucleotide VariationVCFAnnotated Somatic MutationC2040737988_1.vcf18958ead48f026250bd47c1e2d4f984695f1...NaNNaNNaNNaN9355ddf9-be48-48dd-8b6a-9a9af64a2767C20407379884254caef-09ea-4399-b4ee-bdc271f99037VCF_collection-01NaNNaN
2variant_call_file03cbabb7-4680-4a25-80a8-fcf08b4d1898VA-PODR-COHORT-AVA-PODR-COHORT-A_C1361659370_1_8682Simple Nucleotide VariationVCFAnnotated Somatic MutationC1361659370_1.vcf12818dfd44a7ac69522f5e98949c07c83ce5c...NaNNaNNaNNaNb44eca18-0f91-4eef-a60d-0055fcd3b0aeC13616593704254caef-09ea-4399-b4ee-bdc271f99037VCF_collection-01NaNNaN
3variant_call_file066d3640-ed34-4d42-96cd-6370397fa588VA-PODR-COHORT-AVA-PODR-COHORT-A_C240403488_1_2240Simple Nucleotide VariationVCFAnnotated Somatic MutationC240403488_1.vcf13778811bd9abfbff9d69e0afa249f551ba88...NaNNaNNaNNaN9a439d4f-a852-44ed-afda-dcec5446b016C2404034884254caef-09ea-4399-b4ee-bdc271f99037VCF_collection-01NaNNaN
4variant_call_file0d9f6a8f-0e97-466c-8ea4-33332464b81eVA-PODR-COHORT-AVA-PODR-COHORT-A_C179813604_3_b334Simple Nucleotide VariationVCFAnnotated Somatic MutationC179813604_3.vcf161909d008680794aec1857340d0c441f7a30...NaNNaNNaNNaN6c845a82-c75d-4070-8368-d1d9f78f4624C1798136044254caef-09ea-4399-b4ee-bdc271f99037VCF_collection-01NaNNaN
\n", + "

5 rows × 23 columns

\n", + "
" + ], + "text/plain": [ + " type id project_id \\\n", + "0 variant_call_file 0034ce46-f41d-42ef-a03c-0333b8081a76 VA-PODR-COHORT-A \n", + "1 variant_call_file 0367675c-96e2-4626-83c9-da46f0eb9ad7 VA-PODR-COHORT-A \n", + "2 variant_call_file 03cbabb7-4680-4a25-80a8-fcf08b4d1898 VA-PODR-COHORT-A \n", + "3 variant_call_file 066d3640-ed34-4d42-96cd-6370397fa588 VA-PODR-COHORT-A \n", + "4 variant_call_file 0d9f6a8f-0e97-466c-8ea4-33332464b81e VA-PODR-COHORT-A \n", + "\n", + " submitter_id data_category \\\n", + "0 VA-PODR-COHORT-A_C179813604_2_ef1d Simple Nucleotide Variation \n", + "1 VA-PODR-COHORT-A_C2040737988_1_a1b4 Simple Nucleotide Variation \n", + "2 VA-PODR-COHORT-A_C1361659370_1_8682 Simple Nucleotide Variation \n", + "3 VA-PODR-COHORT-A_C240403488_1_2240 Simple Nucleotide Variation \n", + "4 VA-PODR-COHORT-A_C179813604_3_b334 Simple Nucleotide Variation \n", + "\n", + " data_format data_type file_name file_size \\\n", + "0 VCF Annotated Somatic Mutation C179813604_2.vcf 15737 \n", + "1 VCF Annotated Somatic Mutation C2040737988_1.vcf 1895 \n", + "2 VCF Annotated Somatic Mutation C1361659370_1.vcf 12818 \n", + "3 VCF Annotated Somatic Mutation C240403488_1.vcf 13778 \n", + "4 VCF Annotated Somatic Mutation C179813604_3.vcf 16190 \n", + "\n", + " md5sum ... state_comment \\\n", + "0 10931a53640eb6b4d10e5b3262678e61 ... NaN \n", + "1 8ead48f026250bd47c1e2d4f984695f1 ... NaN \n", + "2 dfd44a7ac69522f5e98949c07c83ce5c ... NaN \n", + "3 811bd9abfbff9d69e0afa249f551ba88 ... NaN \n", + "4 9d008680794aec1857340d0c441f7a30 ... NaN \n", + "\n", + " variant_calling_workflow aligned_reads_files.id \\\n", + "0 NaN NaN \n", + "1 NaN NaN \n", + "2 NaN NaN \n", + "3 NaN NaN \n", + "4 NaN NaN \n", + "\n", + " aligned_reads_files.submitter_id cases.id \\\n", + "0 NaN 6c845a82-c75d-4070-8368-d1d9f78f4624 \n", + "1 NaN 9355ddf9-be48-48dd-8b6a-9a9af64a2767 \n", + "2 NaN b44eca18-0f91-4eef-a60d-0055fcd3b0ae \n", + "3 NaN 9a439d4f-a852-44ed-afda-dcec5446b016 \n", + "4 NaN 6c845a82-c75d-4070-8368-d1d9f78f4624 \n", + "\n", + " cases.submitter_id core_metadata_collections.id \\\n", + "0 C179813604 4254caef-09ea-4399-b4ee-bdc271f99037 \n", + "1 C2040737988 4254caef-09ea-4399-b4ee-bdc271f99037 \n", + "2 C1361659370 4254caef-09ea-4399-b4ee-bdc271f99037 \n", + "3 C240403488 4254caef-09ea-4399-b4ee-bdc271f99037 \n", + "4 C179813604 4254caef-09ea-4399-b4ee-bdc271f99037 \n", + "\n", + " core_metadata_collections.submitter_id unaligned_reads_files.id \\\n", + "0 VCF_collection-01 NaN \n", + "1 VCF_collection-01 NaN \n", + "2 VCF_collection-01 NaN \n", + "3 VCF_collection-01 NaN \n", + "4 VCF_collection-01 NaN \n", + "\n", + " unaligned_reads_files.submitter_id \n", + "0 NaN \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "\n", + "[5 rows x 23 columns]" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "node = 'variant_call_file'\n", + "projects = ['VA-PODR-COHORT-A']\n", + "df = exp.get_node_tsvs(node,projects,overwrite=True)\n", + "\n", + "df.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 🧾 Extract Object IDs for Lung Cases\n", + "\n", + "From the main structured DataFrame `df`, we filter for rows where the `case_submitter_id` is found in our list of lung cases. \n", + "Then, we extract the corresponding `object_id` values, which will be used to download files tied to these records.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "65" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "vcf_object_ids = list(df.loc[df['case_submitter_id'].isin(case_submitter_ids)]['object_id'])\n", + "len(vcf_object_ids)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### ⬇️ Download Files via Gen3 Client\n", + "\n", + "We loop through the list of `object_id`s and use the `gen3-client` command-line tool to download each file.\n", + "\n", + "- The download path is set to a specific directory.\n", + "- The `--no-prompt` flag is used to skip overwrite confirmation.\n", + "- This process downloads one file per iteration based on its GUID.\n", + "\n", + "> ⚠️ If files already exist in the destination folder, they will be silently overwritten unless `--rename` is set.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2025/05/20 18:51:12 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 18m15s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:12 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:12 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:12 File info prepared successfully\n", + "C240403488_1.vcf 13.46 KiB / 13.46 KiB [==============================] 100.00%\n", + "C240403488_1.vcf 13.46 KiB / 13.46 KiB [==============================] 100.00%\n", + "2025/05/20 18:51:12 1 files downloaded.\n", + "2025/05/20 18:51:13 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 18m14s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:13 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:13 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:13 File info prepared successfully\n", + "C214284022_1.vcf 1.68 KiB / 1.68 KiB [================================] 100.00%\n", + "C214284022_1.vcf 1.68 KiB / 1.68 KiB [================================] 100.00%\n", + "2025/05/20 18:51:13 1 files downloaded.\n", + "2025/05/20 18:51:14 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 18m13s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:14 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:14 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:14 File info prepared successfully\n", + "C1888749084_1.vcf 2.16 KiB / 2.16 KiB [===============================] 100.00%\n", + "C1888749084_1.vcf 2.16 KiB / 2.16 KiB [===============================] 100.00%\n", + "2025/05/20 18:51:14 1 files downloaded.\n", + "2025/05/20 18:51:14 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 15m12s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:14 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:14 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:15 File info prepared successfully\n", + "C29959866_1.vcf 2.07 KiB / 2.07 KiB [=================================] 100.00%\n", + "C29959866_1.vcf 2.07 KiB / 2.07 KiB [=================================] 100.00%\n", + "2025/05/20 18:51:15 1 files downloaded.\n", + "2025/05/20 18:51:15 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 18m11s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:15 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:15 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:15 File info prepared successfully\n", + "C1372979342_1.vcf 1.84 KiB / 1.84 KiB [===============================] 100.00%\n", + "C1372979342_1.vcf 1.84 KiB / 1.84 KiB [===============================] 100.00%\n", + "2025/05/20 18:51:16 1 files downloaded.\n", + "2025/05/20 18:51:16 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 15m10s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:16 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:16 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:16 File info prepared successfully\n", + "C1098991844_1.vcf 1.51 KiB / 1.51 KiB [===============================] 100.00%\n", + "C1098991844_1.vcf 1.51 KiB / 1.51 KiB [===============================] 100.00%\n", + "2025/05/20 18:51:16 1 files downloaded.\n", + "2025/05/20 18:51:17 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 18m09s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:17 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:17 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:17 File info prepared successfully\n", + "C1074048922_1.vcf 9.79 KiB / 9.79 KiB [===============================] 100.00%\n", + "C1074048922_1.vcf 9.79 KiB / 9.79 KiB [===============================] 100.00%\n", + "2025/05/20 18:51:17 1 files downloaded.\n", + "2025/05/20 18:51:18 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 15m09s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:18 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:18 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:18 File info prepared successfully\n", + "C56612346_1.vcf 1.72 KiB / 1.72 KiB [=================================] 100.00%\n", + "C56612346_1.vcf 1.72 KiB / 1.72 KiB [=================================] 100.00%\n", + "2025/05/20 18:51:18 1 files downloaded.\n", + "2025/05/20 18:51:19 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 15m08s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:19 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:19 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:19 File info prepared successfully\n", + "C403362608_2.vcf 8.99 KiB / 8.99 KiB [================================] 100.00%\n", + "C403362608_2.vcf 8.99 KiB / 8.99 KiB [================================] 100.00%\n", + "2025/05/20 18:51:19 1 files downloaded.\n", + "2025/05/20 18:51:20 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 15m07s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:20 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:20 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:20 File info prepared successfully\n", + "C1815936598_1.vcf 1.49 KiB / 1.49 KiB [===============================] 100.00%\n", + "C1815936598_1.vcf 1.49 KiB / 1.49 KiB [===============================] 100.00%\n", + "2025/05/20 18:51:20 1 files downloaded.\n", + "2025/05/20 18:51:21 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 15m06s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:21 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:21 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:21 File info prepared successfully\n", + "C2139098286_1.vcf 16.29 KiB / 16.29 KiB [=============================] 100.00%\n", + "C2139098286_1.vcf 16.29 KiB / 16.29 KiB [=============================] 100.00%\n", + "2025/05/20 18:51:21 1 files downloaded.\n", + "2025/05/20 18:51:21 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 15m05s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:21 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:21 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:21 File info prepared successfully\n", + "C1984979028_2.vcf 2.16 KiB / 2.16 KiB [===============================] 100.00%\n", + "C1984979028_2.vcf 2.16 KiB / 2.16 KiB [===============================] 100.00%\n", + "2025/05/20 18:51:22 1 files downloaded.\n", + "2025/05/20 18:51:22 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 18m04s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:22 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:22 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:22 File info prepared successfully\n", + "C387848340_1.vcf 14.09 KiB / 14.09 KiB [==============================] 100.00%\n", + "C387848340_1.vcf 14.09 KiB / 14.09 KiB [==============================] 100.00%\n", + "2025/05/20 18:51:23 1 files downloaded.\n", + "2025/05/20 18:51:23 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 18m03s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:23 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:23 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:23 File info prepared successfully\n", + "C1984979028_1.vcf 1.62 KiB / 1.62 KiB [===============================] 100.00%\n", + "C1984979028_1.vcf 1.62 KiB / 1.62 KiB [===============================] 100.00%\n", + "2025/05/20 18:51:23 1 files downloaded.\n", + "2025/05/20 18:51:24 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 15m02s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:24 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:24 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:24 File info prepared successfully\n", + "C1763639778_1.vcf 1.96 KiB / 1.96 KiB [===============================] 100.00%\n", + "C1763639778_1.vcf 1.96 KiB / 1.96 KiB [===============================] 100.00%\n", + "2025/05/20 18:51:24 1 files downloaded.\n", + "2025/05/20 18:51:25 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 15m01s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:25 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:25 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:25 File info prepared successfully\n", + "C956034400_1.vcf 1.82 KiB / 1.82 KiB [================================] 100.00%\n", + "C956034400_1.vcf 1.82 KiB / 1.82 KiB [================================] 100.00%\n", + "2025/05/20 18:51:25 1 files downloaded.\n", + "2025/05/20 18:51:26 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 18m01s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:26 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:26 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:26 File info prepared successfully\n", + "C1577882710_1.vcf 1.90 KiB / 1.90 KiB [===============================] 100.00%\n", + "C1577882710_1.vcf 1.90 KiB / 1.90 KiB [===============================] 100.00%\n", + "2025/05/20 18:51:26 1 files downloaded.\n", + "2025/05/20 18:51:27 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 18m00s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:27 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:27 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:27 File info prepared successfully\n", + "C410828272_1.vcf 1.87 KiB / 1.87 KiB [================================] 100.00%\n", + "C410828272_1.vcf 1.87 KiB / 1.87 KiB [================================] 100.00%\n", + "2025/05/20 18:51:27 1 files downloaded.\n", + "2025/05/20 18:51:28 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 17m59s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:28 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:28 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:28 File info prepared successfully\n", + "C1013987026_1.vcf 2.68 KiB / 2.68 KiB [===============================] 100.00%\n", + "C1013987026_1.vcf 2.68 KiB / 2.68 KiB [===============================] 100.00%\n", + "2025/05/20 18:51:28 1 files downloaded.\n", + "2025/05/20 18:51:29 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 17m58s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:29 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:29 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:29 File info prepared successfully\n", + "C1077452144_1.vcf 2.83 KiB / 2.83 KiB [===============================] 100.00%\n", + "C1077452144_1.vcf 2.83 KiB / 2.83 KiB [===============================] 100.00%\n", + "2025/05/20 18:51:29 1 files downloaded.\n", + "2025/05/20 18:51:29 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 17m57s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:29 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:29 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:30 File info prepared successfully\n", + "C166026022_1.vcf 2.46 KiB / 2.46 KiB [================================] 100.00%\n", + "C166026022_1.vcf 2.46 KiB / 2.46 KiB [================================] 100.00%\n", + "2025/05/20 18:51:30 1 files downloaded.\n", + "2025/05/20 18:51:30 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 17m56s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:30 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:30 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:30 File info prepared successfully\n", + "C430006320_1.vcf 14.62 KiB / 14.62 KiB [==============================] 100.00%\n", + "C430006320_1.vcf 14.62 KiB / 14.62 KiB [==============================] 100.00%\n", + "2025/05/20 18:51:31 1 files downloaded.\n", + "2025/05/20 18:51:31 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 17m55s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:31 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:31 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:31 File info prepared successfully\n", + "C1402041738_1.vcf 1.60 KiB / 1.60 KiB [===============================] 100.00%\n", + "C1402041738_1.vcf 1.60 KiB / 1.60 KiB [===============================] 100.00%\n", + "2025/05/20 18:51:31 1 files downloaded.\n", + "2025/05/20 18:51:32 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 14m54s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:32 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:32 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:32 File info prepared successfully\n", + "C403362608_1.vcf 2.21 KiB / 2.21 KiB [================================] 100.00%\n", + "C403362608_1.vcf 2.21 KiB / 2.21 KiB [================================] 100.00%\n", + "2025/05/20 18:51:32 1 files downloaded.\n", + "2025/05/20 18:51:33 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 14m54s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:33 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:33 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:33 File info prepared successfully\n", + "C1691948252_1.vcf 11.97 KiB / 11.97 KiB [=============================] 100.00%\n", + "C1691948252_1.vcf 11.97 KiB / 11.97 KiB [=============================] 100.00%\n", + "2025/05/20 18:51:33 1 files downloaded.\n", + "2025/05/20 18:51:34 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 14m53s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:34 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:34 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:34 File info prepared successfully\n", + "C1170636574_1.vcf 1.62 KiB / 1.62 KiB [===============================] 100.00%\n", + "C1170636574_1.vcf 1.62 KiB / 1.62 KiB [===============================] 100.00%\n", + "2025/05/20 18:51:34 1 files downloaded.\n", + "2025/05/20 18:51:35 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 14m52s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:35 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:35 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:35 File info prepared successfully\n", + "C935375390_1.vcf 2.06 KiB / 2.06 KiB [================================] 100.00%\n", + "C935375390_1.vcf 2.06 KiB / 2.06 KiB [================================] 100.00%\n", + "2025/05/20 18:51:35 1 files downloaded.\n", + "2025/05/20 18:51:36 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 17m51s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:36 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:36 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:36 File info prepared successfully\n", + "C1168091460_1.vcf 2.45 KiB / 2.45 KiB [===============================] 100.00%\n", + "C1168091460_1.vcf 2.45 KiB / 2.45 KiB [===============================] 100.00%\n", + "2025/05/20 18:51:36 1 files downloaded.\n", + "2025/05/20 18:51:36 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 17m50s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:36 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:36 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:36 File info prepared successfully\n", + "C1580102914_1.vcf 16.86 KiB / 16.86 KiB [=============================] 100.00%\n", + "C1580102914_1.vcf 16.86 KiB / 16.86 KiB [=============================] 100.00%\n", + "2025/05/20 18:51:37 1 files downloaded.\n", + "2025/05/20 18:51:37 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 17m49s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:37 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:37 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:37 File info prepared successfully\n", + "C1630511954_1.vcf 1.84 KiB / 1.84 KiB [===============================] 100.00%\n", + "C1630511954_1.vcf 1.84 KiB / 1.84 KiB [===============================] 100.00%\n", + "2025/05/20 18:51:38 1 files downloaded.\n", + "2025/05/20 18:51:38 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 14m48s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:38 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:38 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:38 File info prepared successfully\n", + "C720830472_1.vcf 2.57 KiB / 2.57 KiB [================================] 100.00%\n", + "C720830472_1.vcf 2.57 KiB / 2.57 KiB [================================] 100.00%\n", + "2025/05/20 18:51:38 1 files downloaded.\n", + "2025/05/20 18:51:39 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 14m47s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:39 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:39 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:39 File info prepared successfully\n", + "C1815936598_1.vcf 1.52 KiB / 1.52 KiB [===============================] 100.00%\n", + "C1815936598_1.vcf 1.52 KiB / 1.52 KiB [===============================] 100.00%\n", + "2025/05/20 18:51:39 1 files downloaded.\n", + "2025/05/20 18:51:40 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 17m47s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:40 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:40 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:40 File info prepared successfully\n", + "C956034400_1.vcf 1.84 KiB / 1.84 KiB [================================] 100.00%\n", + "C956034400_1.vcf 1.84 KiB / 1.84 KiB [================================] 100.00%\n", + "2025/05/20 18:51:40 1 files downloaded.\n", + "2025/05/20 18:51:41 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 17m46s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:41 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:41 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:41 File info prepared successfully\n", + "C1363979854_1.vcf 2.55 KiB / 2.55 KiB [===============================] 100.00%\n", + "C1363979854_1.vcf 2.55 KiB / 2.55 KiB [===============================] 100.00%\n", + "2025/05/20 18:51:41 1 files downloaded.\n", + "2025/05/20 18:51:42 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 14m45s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:42 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:42 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:42 File info prepared successfully\n", + "C56842798_1.vcf 1.74 KiB / 1.74 KiB [=================================] 100.00%\n", + "C56842798_1.vcf 1.74 KiB / 1.74 KiB [=================================] 100.00%\n", + "2025/05/20 18:51:42 1 files downloaded.\n", + "2025/05/20 18:51:43 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 14m44s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:43 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:43 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:43 File info prepared successfully\n", + "C1168091460_1.vcf 2.42 KiB / 2.42 KiB [===============================] 100.00%\n", + "C1168091460_1.vcf 2.42 KiB / 2.42 KiB [===============================] 100.00%\n", + "2025/05/20 18:51:43 1 files downloaded.\n", + "2025/05/20 18:51:43 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 17m43s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:43 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:43 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:43 File info prepared successfully\n", + "C1807568100_1.vcf 1.62 KiB / 1.62 KiB [===============================] 100.00%\n", + "C1807568100_1.vcf 1.62 KiB / 1.62 KiB [===============================] 100.00%\n", + "2025/05/20 18:51:44 1 files downloaded.\n", + "2025/05/20 18:51:44 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 17m42s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:44 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:44 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:44 File info prepared successfully\n", + "C252278628_1.vcf 12.16 KiB / 12.16 KiB [==============================] 100.00%\n", + "C252278628_1.vcf 12.16 KiB / 12.16 KiB [==============================] 100.00%\n", + "2025/05/20 18:51:45 1 files downloaded.\n", + "2025/05/20 18:51:45 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 14m41s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:45 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:45 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:45 File info prepared successfully\n", + "C1269679480_1.vcf 1.94 KiB / 1.94 KiB [===============================] 100.00%\n", + "C1269679480_1.vcf 1.94 KiB / 1.94 KiB [===============================] 100.00%\n", + "2025/05/20 18:51:45 1 files downloaded.\n", + "2025/05/20 18:51:46 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 14m40s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:46 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:46 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:46 File info prepared successfully\n", + "C1869028000_1.vcf 10.74 KiB / 10.74 KiB [=============================] 100.00%\n", + "C1869028000_1.vcf 10.74 KiB / 10.74 KiB [=============================] 100.00%\n", + "2025/05/20 18:51:46 1 files downloaded.\n", + "2025/05/20 18:51:47 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 14m40s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:47 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:47 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:47 File info prepared successfully\n", + "C1077452144_1.vcf 2.80 KiB / 2.80 KiB [===============================] 100.00%\n", + "C1077452144_1.vcf 2.80 KiB / 2.80 KiB [===============================] 100.00%\n", + "2025/05/20 18:51:47 1 files downloaded.\n", + "2025/05/20 18:51:48 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 17m39s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:48 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:48 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:48 File info prepared successfully\n", + "C1405101280_1.vcf 2.08 KiB / 2.08 KiB [===============================] 100.00%\n", + "C1405101280_1.vcf 2.08 KiB / 2.08 KiB [===============================] 100.00%\n", + "2025/05/20 18:51:48 1 files downloaded.\n", + "2025/05/20 18:51:49 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 14m38s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:49 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:49 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:49 File info prepared successfully\n", + "C1274530254_1.vcf 1.41 KiB / 1.41 KiB [===============================] 100.00%\n", + "C1274530254_1.vcf 1.41 KiB / 1.41 KiB [===============================] 100.00%\n", + "2025/05/20 18:51:49 1 files downloaded.\n", + "2025/05/20 18:51:50 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 17m37s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:50 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:50 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:50 File info prepared successfully\n", + "C1347958294_1.vcf 2.20 KiB / 2.20 KiB [===============================] 100.00%\n", + "C1347958294_1.vcf 2.20 KiB / 2.20 KiB [===============================] 100.00%\n", + "2025/05/20 18:51:50 1 files downloaded.\n", + "2025/05/20 18:51:50 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 17m36s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:50 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:50 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:50 File info prepared successfully\n", + "C109585280_1.vcf 1.93 KiB / 1.93 KiB [================================] 100.00%\n", + "C109585280_1.vcf 1.93 KiB / 1.93 KiB [================================] 100.00%\n", + "2025/05/20 18:51:51 1 files downloaded.\n", + "2025/05/20 18:51:51 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 14m35s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:51 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:51 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:51 File info prepared successfully\n", + "C759320696_1.vcf 1.52 KiB / 1.52 KiB [================================] 100.00%\n", + "C759320696_1.vcf 1.52 KiB / 1.52 KiB [================================] 100.00%\n", + "2025/05/20 18:51:52 1 files downloaded.\n", + "2025/05/20 18:51:52 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 17m34s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:52 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:52 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:52 File info prepared successfully\n", + "C24362764_1.vcf 2.01 KiB / 2.01 KiB [=================================] 100.00%\n", + "C24362764_1.vcf 2.01 KiB / 2.01 KiB [=================================] 100.00%\n", + "2025/05/20 18:51:52 1 files downloaded.\n", + "2025/05/20 18:51:53 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 17m33s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:53 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:53 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:53 File info prepared successfully\n", + "C1374947572_1.vcf 1.41 KiB / 1.41 KiB [===============================] 100.00%\n", + "C1374947572_1.vcf 1.41 KiB / 1.41 KiB [===============================] 100.00%\n", + "2025/05/20 18:51:53 1 files downloaded.\n", + "2025/05/20 18:51:54 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 17m33s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:54 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:54 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:54 File info prepared successfully\n", + "C243781630_1.vcf 12.28 KiB / 12.28 KiB [==============================] 100.00%\n", + "C243781630_1.vcf 12.28 KiB / 12.28 KiB [==============================] 100.00%\n", + "2025/05/20 18:51:54 1 files downloaded.\n", + "2025/05/20 18:51:55 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 17m32s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:55 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:55 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:55 File info prepared successfully\n", + "C523093366_1.vcf 13.43 KiB / 13.43 KiB [==============================] 100.00%\n", + "C523093366_1.vcf 13.43 KiB / 13.43 KiB [==============================] 100.00%\n", + "2025/05/20 18:51:55 1 files downloaded.\n", + "2025/05/20 18:51:56 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 14m31s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:56 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:56 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:56 File info prepared successfully\n", + "C796737806_1.vcf 13.64 KiB / 13.64 KiB [==============================] 100.00%\n", + "C796737806_1.vcf 13.64 KiB / 13.64 KiB [==============================] 100.00%\n", + "2025/05/20 18:51:56 1 files downloaded.\n", + "2025/05/20 18:51:57 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 14m30s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:57 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:57 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:57 File info prepared successfully\n", + "C399039842_1.vcf 3.25 KiB / 3.25 KiB [================================] 100.00%\n", + "C399039842_1.vcf 3.25 KiB / 3.25 KiB [================================] 100.00%\n", + "2025/05/20 18:51:57 1 files downloaded.\n", + "2025/05/20 18:51:57 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 17m29s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:57 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:57 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:57 File info prepared successfully\n", + "C1820625014_1.vcf 1.83 KiB / 1.83 KiB [===============================] 100.00%\n", + "C1820625014_1.vcf 1.83 KiB / 1.83 KiB [===============================] 100.00%\n", + "2025/05/20 18:51:58 1 files downloaded.\n", + "2025/05/20 18:51:58 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 17m28s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:58 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:58 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:58 File info prepared successfully\n", + "C1383761946_1.vcf 14.13 KiB / 14.13 KiB [=============================] 100.00%\n", + "C1383761946_1.vcf 14.13 KiB / 14.13 KiB [=============================] 100.00%\n", + "2025/05/20 18:51:58 1 files downloaded.\n", + "2025/05/20 18:51:59 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 17m27s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:51:59 Total number of objects in manifest: 1\n", + "2025/05/20 18:51:59 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:51:59 File info prepared successfully\n", + "C556739514_1.vcf 12.95 KiB / 12.95 KiB [==============================] 100.00%\n", + "C556739514_1.vcf 12.95 KiB / 12.95 KiB [==============================] 100.00%\n", + "2025/05/20 18:51:59 1 files downloaded.\n", + "2025/05/20 18:52:00 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 17m26s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:52:00 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:00 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:00 File info prepared successfully\n", + "C1365106676_1.vcf 1.73 KiB / 1.73 KiB [===============================] 100.00%\n", + "C1365106676_1.vcf 1.73 KiB / 1.73 KiB [===============================] 100.00%\n", + "2025/05/20 18:52:00 1 files downloaded.\n", + "2025/05/20 18:52:01 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 14m26s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:52:01 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:01 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:01 File info prepared successfully\n", + "C1807568100_2.vcf 1.67 KiB / 1.67 KiB [===============================] 100.00%\n", + "C1807568100_2.vcf 1.67 KiB / 1.67 KiB [===============================] 100.00%\n", + "2025/05/20 18:52:01 1 files downloaded.\n", + "2025/05/20 18:52:02 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 14m25s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:52:02 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:02 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:02 File info prepared successfully\n", + "C1877271770_1.vcf 10.63 KiB / 10.63 KiB [=============================] 100.00%\n", + "C1877271770_1.vcf 10.63 KiB / 10.63 KiB [=============================] 100.00%\n", + "2025/05/20 18:52:02 1 files downloaded.\n", + "2025/05/20 18:52:03 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 17m24s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:52:03 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:03 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:03 File info prepared successfully\n", + "C290053028_1.vcf 19.27 KiB / 19.27 KiB [==============================] 100.00%\n", + "C290053028_1.vcf 19.27 KiB / 19.27 KiB [==============================] 100.00%\n", + "2025/05/20 18:52:03 1 files downloaded.\n", + "2025/05/20 18:52:04 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 14m23s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:52:04 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:04 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:04 File info prepared successfully\n", + "C1110841088_1.vcf 1.73 KiB / 1.73 KiB [===============================] 100.00%\n", + "C1110841088_1.vcf 1.73 KiB / 1.73 KiB [===============================] 100.00%\n", + "2025/05/20 18:52:04 1 files downloaded.\n", + "2025/05/20 18:52:04 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 17m22s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:52:04 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:04 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:04 File info prepared successfully\n", + "C787354480_1.vcf 2.42 KiB / 2.42 KiB [================================] 100.00%\n", + "C787354480_1.vcf 2.42 KiB / 2.42 KiB [================================] 100.00%\n", + "2025/05/20 18:52:05 1 files downloaded.\n", + "2025/05/20 18:52:05 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 14m21s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:52:05 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:05 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:05 File info prepared successfully\n", + "C369399716_1.vcf 2.34 KiB / 2.34 KiB [================================] 100.00%\n", + "C369399716_1.vcf 2.34 KiB / 2.34 KiB [================================] 100.00%\n", + "2025/05/20 18:52:06 1 files downloaded.\n", + "2025/05/20 18:52:06 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 17m20s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:52:06 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:06 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:06 File info prepared successfully\n", + "C1693930878_1.vcf 2.67 KiB / 2.67 KiB [===============================] 100.00%\n", + "C1693930878_1.vcf 2.67 KiB / 2.67 KiB [===============================] 100.00%\n", + "2025/05/20 18:52:06 1 files downloaded.\n", + "2025/05/20 18:52:07 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 17m19s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:52:07 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:07 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:07 File info prepared successfully\n", + "C1736502752_1.vcf 1.49 KiB / 1.49 KiB [===============================] 100.00%\n", + "C1736502752_1.vcf 1.49 KiB / 1.49 KiB [===============================] 100.00%\n", + "2025/05/20 18:52:07 1 files downloaded.\n", + "2025/05/20 18:52:08 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 14m19s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/variant_call_files/\" will be overwritten\n", + "2025/05/20 18:52:08 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:08 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:08 File info prepared successfully\n", + "C961182904_1.vcf 1.61 KiB / 1.61 KiB [================================] 100.00%\n", + "C961182904_1.vcf 1.61 KiB / 1.61 KiB [================================] 100.00%\n", + "2025/05/20 18:52:08 1 files downloaded.\n" + ] + } + ], + "source": [ + "!mkdir -p /home/jovyan/pd/Downloaded_Data/variant_call_files\n", + "dl_dir = '/home/jovyan/pd/Downloaded_Data/variant_call_files'\n", + "\n", + "for object_id in vcf_object_ids:\n", + " !/home/jovyan/pd/.gen3/gen3-client download-single --guid=$object_id --profile=vpodc --download-path=$dl_dir --no-prompt" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 🧮 Count Downloaded VCF Files\n", + "\n", + "We perform a final check to verify how many `.vcf` files were successfully downloaded to the target directory. \n", + "This uses the `find` command to search for files with the `.vcf` extension and counts them with `wc -l`.\n", + "\n", + "> ✅ This helps confirm that the number of downloaded VCFs matches the number of expected `object_id`s.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "61\n" + ] + } + ], + "source": [ + "!find $dl_dir -name '*.vcf' | wc -l" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 🧫 Extract Structured Data for Pathology Slide Files\n", + "\n", + "We now repeat the process for the `pathology_slide` node using the `get_node_tsvs()` function.\n", + "\n", + "This function retrieves all available metadata for pathology slide files within the `VA-PODR-COHORT-A` project. \n", + "The result is stored as a structured DataFrame (`df`) and saved as a `.tsv` file for reference.\n", + "\n", + "💡 Key columns include:\n", + "- `submitter_id`: uniquely identifies the slide\n", + "- `data_format`: expected to be `JPEG`\n", + "- `file_name`, `file_size`: for download and quality assessment\n" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Output written to file: node_tsvs/pathology_slide_tsvs/VA-PODR-COHORT-A_pathology_slide.tsv\n", + "node_tsvs/pathology_slide_tsvs/VA-PODR-COHORT-A_pathology_slide.tsv has 170 records.\n", + "length of all dfs: 170\n", + "Master node TSV with 170 total records written to master_pathology_slide.tsv.\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
typeidproject_idsubmitter_iddata_categorydata_formatdata_typefile_namefile_sizemd5sum...study_datestudy_descriptionstudy_idstudy_instance_uidcases.idcases.submitter_idcore_metadata_collections.idcore_metadata_collections.submitter_idsamples.idsamples.submitter_id
0pathology_slide00dc89a5-33e9-4a84-98cb-b09bd0b21c4eVA-PODR-COHORT-AVA-PODR-COHORT-A_C434194520_1_56f7NaNJPEGNaNC434194520_1.jpg41470042d6e7f28825a31e9b9a4908ef62d0539...NaNNaNNaNNaNNaNNaN92fb3e1a-68c4-40a0-8a28-b4294e5ba990cohortA_batch10_pathology_slidesNaNNaN
1pathology_slide0230ae05-e066-448e-a42b-32747357681eVA-PODR-COHORT-AVA-PODR-COHORT-A_C477240694_1_3976NaNJPEGNaNC477240694_1.jpg448896ff6b6394b752367b3cfab0a89522f676...NaNNaNNaNNaN4c7fd0df-bf01-439e-8a23-a4cf92b5ab87C477240694e70b4083-a7aa-49a8-b87e-0b65af215ceaPathology_Slides_HDD5NaNNaN
2pathology_slide024efa6a-bc4d-45e2-836a-50ac53ed0c3fVA-PODR-COHORT-AVA-PODR-COHORT-A_C1797125648_2_70f3NaNJPEGNaNC1797125648_2.jpg3681354142f35cca4bc29f86715510fe7600a2...NaNNaNNaNNaN83cf9cc0-794d-4830-a374-e2e88081e04eC1797125648e70b4083-a7aa-49a8-b87e-0b65af215ceaPathology_Slides_HDD5NaNNaN
3pathology_slide02655df4-778f-4562-b964-3c91940f2913VA-PODR-COHORT-AVA-PODR-COHORT-A_C2126691600_1_ab20NaNJPEGNaNC2126691600_1.jpg32877903b052d6ca9adcbf94fdd34ce520b92a9...NaNNaNNaNNaN6651a3e6-97ce-48f1-ba5e-40c6aeb58cceC2126691600e70b4083-a7aa-49a8-b87e-0b65af215ceaPathology_Slides_HDD5NaNNaN
4pathology_slide0485adc9-31cb-497d-93e3-32b761b5d5bfVA-PODR-COHORT-AVA-PODR-COHORT-A_C914031896_1_7ebaNaNJPEGNaNC914031896_1.jpg254346165379910e28fe7a661aee8a6099d1c09...NaNNaNNaNNaN8b3a65db-5e8e-4fe7-b7e5-9278660753e4C914031896e70b4083-a7aa-49a8-b87e-0b65af215ceaPathology_Slides_HDD5NaNNaN
\n", + "

5 rows × 36 columns

\n", + "
" + ], + "text/plain": [ + " type id project_id \\\n", + "0 pathology_slide 00dc89a5-33e9-4a84-98cb-b09bd0b21c4e VA-PODR-COHORT-A \n", + "1 pathology_slide 0230ae05-e066-448e-a42b-32747357681e VA-PODR-COHORT-A \n", + "2 pathology_slide 024efa6a-bc4d-45e2-836a-50ac53ed0c3f VA-PODR-COHORT-A \n", + "3 pathology_slide 02655df4-778f-4562-b964-3c91940f2913 VA-PODR-COHORT-A \n", + "4 pathology_slide 0485adc9-31cb-497d-93e3-32b761b5d5bf VA-PODR-COHORT-A \n", + "\n", + " submitter_id data_category data_format data_type \\\n", + "0 VA-PODR-COHORT-A_C434194520_1_56f7 NaN JPEG NaN \n", + "1 VA-PODR-COHORT-A_C477240694_1_3976 NaN JPEG NaN \n", + "2 VA-PODR-COHORT-A_C1797125648_2_70f3 NaN JPEG NaN \n", + "3 VA-PODR-COHORT-A_C2126691600_1_ab20 NaN JPEG NaN \n", + "4 VA-PODR-COHORT-A_C914031896_1_7eba NaN JPEG NaN \n", + "\n", + " file_name file_size md5sum ... \\\n", + "0 C434194520_1.jpg 4147004 2d6e7f28825a31e9b9a4908ef62d0539 ... \n", + "1 C477240694_1.jpg 448896 ff6b6394b752367b3cfab0a89522f676 ... \n", + "2 C1797125648_2.jpg 368135 4142f35cca4bc29f86715510fe7600a2 ... \n", + "3 C2126691600_1.jpg 3287790 3b052d6ca9adcbf94fdd34ce520b92a9 ... \n", + "4 C914031896_1.jpg 2543461 65379910e28fe7a661aee8a6099d1c09 ... \n", + "\n", + " study_date study_description study_id study_instance_uid \\\n", + "0 NaN NaN NaN NaN \n", + "1 NaN NaN NaN NaN \n", + "2 NaN NaN NaN NaN \n", + "3 NaN NaN NaN NaN \n", + "4 NaN NaN NaN NaN \n", + "\n", + " cases.id cases.submitter_id \\\n", + "0 NaN NaN \n", + "1 4c7fd0df-bf01-439e-8a23-a4cf92b5ab87 C477240694 \n", + "2 83cf9cc0-794d-4830-a374-e2e88081e04e C1797125648 \n", + "3 6651a3e6-97ce-48f1-ba5e-40c6aeb58cce C2126691600 \n", + "4 8b3a65db-5e8e-4fe7-b7e5-9278660753e4 C914031896 \n", + "\n", + " core_metadata_collections.id \\\n", + "0 92fb3e1a-68c4-40a0-8a28-b4294e5ba990 \n", + "1 e70b4083-a7aa-49a8-b87e-0b65af215cea \n", + "2 e70b4083-a7aa-49a8-b87e-0b65af215cea \n", + "3 e70b4083-a7aa-49a8-b87e-0b65af215cea \n", + "4 e70b4083-a7aa-49a8-b87e-0b65af215cea \n", + "\n", + " core_metadata_collections.submitter_id samples.id samples.submitter_id \n", + "0 cohortA_batch10_pathology_slides NaN NaN \n", + "1 Pathology_Slides_HDD5 NaN NaN \n", + "2 Pathology_Slides_HDD5 NaN NaN \n", + "3 Pathology_Slides_HDD5 NaN NaN \n", + "4 Pathology_Slides_HDD5 NaN NaN \n", + "\n", + "[5 rows x 36 columns]" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "node = 'pathology_slide'\n", + "df = exp.get_node_tsvs(node,projects='VA-PODR-COHORT-A',overwrite=True)\n", + "df.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 🔗 Match Pathology Slide Files to Lung Cases\n", + "\n", + "We filter the `pathology_slide` DataFrame to include only those records whose `case_submitter_id` appears in our list of lung cases. \n", + "This gives us a refined list of `object_id`s corresponding to pathology slide images linked to LUNG patients.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "56" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "slide_object_ids = list(df.loc[df['case_submitter_id'].isin(case_submitter_ids)]['object_id'])\n", + "len(slide_object_ids)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### ⬇️ Download Pathology Slide Files Using Gen3 Client\n", + "\n", + "We loop through each `object_id` and download the associated pathology slide image using the `gen3-client`.\n", + "\n", + "- Downloads are saved to a designated directory (`Downloaded_Data/pathology_slides`)\n", + "- The `--no-prompt` flag ensures the script proceeds without manual confirmation\n", + "- If the file already exists, it will be overwritten unless the `--rename` flag is set\n" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2025/05/20 18:52:10 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 14m16s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:10 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:10 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:10 File info prepared successfully\n", + "C2126691600_1.jpg 3.14 MiB / 3.14 MiB [===============================] 100.00%\n", + "C2126691600_1.jpg 3.14 MiB / 3.14 MiB [===============================] 100.00%\n", + "2025/05/20 18:52:11 1 files downloaded.\n", + "2025/05/20 18:52:11 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 17m15s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:11 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:11 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:12 File info prepared successfully\n", + "C914031896_1.jpg 2.43 MiB / 2.43 MiB [================================] 100.00%\n", + "C914031896_1.jpg 2.43 MiB / 2.43 MiB [================================] 100.00%\n", + "2025/05/20 18:52:12 1 files downloaded.\n", + "2025/05/20 18:52:13 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 17m14s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:13 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:13 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:13 File info prepared successfully\n", + "C1365106676_1.jpg 2.34 MiB / 2.34 MiB [===============================] 100.00%\n", + "C1365106676_1.jpg 2.34 MiB / 2.34 MiB [===============================] 100.00%\n", + "2025/05/20 18:52:13 1 files downloaded.\n", + "2025/05/20 18:52:14 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 14m13s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:14 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:14 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:14 File info prepared successfully\n", + "C29959866_1.jpg 3.77 MiB / 3.77 MiB [=================================] 100.00%\n", + "C29959866_1.jpg 3.77 MiB / 3.77 MiB [=================================] 100.00%\n", + "2025/05/20 18:52:14 1 files downloaded.\n", + "2025/05/20 18:52:15 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 14m12s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:15 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:15 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:15 File info prepared successfully\n", + "C369399716_1.jpg 2.67 MiB / 2.67 MiB [================================] 100.00%\n", + "C369399716_1.jpg 2.67 MiB / 2.67 MiB [================================] 100.00%\n", + "2025/05/20 18:52:15 1 files downloaded.\n", + "2025/05/20 18:52:16 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 14m11s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:16 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:16 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:16 File info prepared successfully\n", + "C1098991844_1.jpg 3.53 MiB / 3.53 MiB [===============================] 100.00%\n", + "C1098991844_1.jpg 3.53 MiB / 3.53 MiB [===============================] 100.00%\n", + "2025/05/20 18:52:16 1 files downloaded.\n", + "2025/05/20 18:52:17 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 17m10s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:17 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:17 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:17 File info prepared successfully\n", + "C273448508_1.jpg 670.71 KiB / 670.71 KiB [============================] 100.00%\n", + "C273448508_1.jpg 670.71 KiB / 670.71 KiB [============================] 100.00%\n", + "2025/05/20 18:52:17 1 files downloaded.\n", + "2025/05/20 18:52:18 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 17m09s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:18 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:18 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:18 File info prepared successfully\n", + "C1110841088_1.jpg 3.47 MiB / 3.47 MiB [===============================] 100.00%\n", + "C1110841088_1.jpg 3.47 MiB / 3.47 MiB [===============================] 100.00%\n", + "2025/05/20 18:52:18 1 files downloaded.\n", + "2025/05/20 18:52:19 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 17m08s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:19 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:19 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:19 File info prepared successfully\n", + "C759320696_1.jpg 2.56 MiB / 2.56 MiB [================================] 100.00%\n", + "C759320696_1.jpg 2.56 MiB / 2.56 MiB [================================] 100.00%\n", + "2025/05/20 18:52:19 1 files downloaded.\n", + "2025/05/20 18:52:20 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 17m07s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:20 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:20 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:20 File info prepared successfully\n", + "C1077452144.jpg 120.55 KiB / 120.55 KiB [=============================] 100.00%\n", + "C1077452144.jpg 120.55 KiB / 120.55 KiB [=============================] 100.00%\n", + "2025/05/20 18:52:20 1 files downloaded.\n", + "2025/05/20 18:52:21 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 17m06s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:21 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:21 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:21 File info prepared successfully\n", + "C1693930878_1.jpg 2.34 MiB / 2.34 MiB [===============================] 100.00%\n", + "C1693930878_1.jpg 2.34 MiB / 2.34 MiB [===============================] 100.00%\n", + "2025/05/20 18:52:21 1 files downloaded.\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:22 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:22 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:22 File info prepared successfully\n", + "C1807568100_2.jpg 458.66 KiB / 458.66 KiB [===========================] 100.00%\n", + "C1807568100_2.jpg 458.66 KiB / 458.66 KiB [===========================] 100.00%\n", + "2025/05/20 18:52:22 1 files downloaded.\n", + "2025/05/20 18:52:23 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 14m04s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:23 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:23 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:23 File info prepared successfully\n", + "C1372979342_1.jpg 1.33 MiB / 1.33 MiB [===============================] 100.00%\n", + "C1372979342_1.jpg 1.33 MiB / 1.33 MiB [===============================] 100.00%\n", + "2025/05/20 18:52:23 1 files downloaded.\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:24 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:24 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:24 File info prepared successfully\n", + "C1363979854_1.jpg 3.95 MiB / 3.95 MiB [===============================] 100.00%\n", + "C1363979854_1.jpg 3.95 MiB / 3.95 MiB [===============================] 100.00%\n", + "2025/05/20 18:52:24 1 files downloaded.\n", + "2025/05/20 18:52:25 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 14m02s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:25 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:25 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:25 File info prepared successfully\n", + "C166026022_1.jpg 1.02 MiB / 1.02 MiB [================================] 100.00%\n", + "C166026022_1.jpg 1.02 MiB / 1.02 MiB [================================] 100.00%\n", + "2025/05/20 18:52:25 1 files downloaded.\n", + "2025/05/20 18:52:26 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 14m01s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:26 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:26 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:26 File info prepared successfully\n", + "C1274530254_1.jpg 2.14 MiB / 2.14 MiB [===============================] 100.00%\n", + "C1274530254_1.jpg 2.14 MiB / 2.14 MiB [===============================] 100.00%\n", + "2025/05/20 18:52:26 1 files downloaded.\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:27 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:27 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:27 File info prepared successfully\n", + "C935375390_1.jpg 3.57 MiB / 3.57 MiB [================================] 100.00%\n", + "C935375390_1.jpg 3.57 MiB / 3.57 MiB [================================] 100.00%\n", + "2025/05/20 18:52:27 1 files downloaded.\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:28 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:28 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:28 File info prepared successfully\n", + "C56842798_1.jpg 314.27 KiB / 314.27 KiB [=============================] 100.00%\n", + "C56842798_1.jpg 314.27 KiB / 314.27 KiB [=============================] 100.00%\n", + "2025/05/20 18:52:28 1 files downloaded.\n", + "2025/05/20 18:52:29 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 13m57s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:29 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:29 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:29 File info prepared successfully\n", + "C403362608_1.jpg 504.45 KiB / 504.45 KiB [============================] 100.00%\n", + "C403362608_1.jpg 504.45 KiB / 504.45 KiB [============================] 100.00%\n", + "2025/05/20 18:52:29 1 files downloaded.\n", + "2025/05/20 18:52:30 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 13m56s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:30 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:30 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:30 File info prepared successfully\n", + "C109585280_1.jpg 239.09 KiB / 239.09 KiB [============================] 100.00%\n", + "C109585280_1.jpg 239.09 KiB / 239.09 KiB [============================] 100.00%\n", + "2025/05/20 18:52:30 1 files downloaded.\n", + "2025/05/20 18:52:31 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 13m55s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:31 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:31 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:31 File info prepared successfully\n", + "C1630511954_1.jpg 2.05 MiB / 2.51 MiB [=========================>-----] 81.56%\n", + "C1630511954_1.jpg 2.51 MiB / 2.51 MiB [===============================] 100.00%\n", + "2025/05/20 18:52:32 1 files downloaded.\n", + "2025/05/20 18:52:32 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 13m54s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:32 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:32 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:32 File info prepared successfully\n", + "C1013987026_1.jpg 453.36 KiB / 453.36 KiB [===========================] 100.00%\n", + "C1013987026_1.jpg 453.36 KiB / 453.36 KiB [===========================] 100.00%\n", + "2025/05/20 18:52:33 1 files downloaded.\n", + "2025/05/20 18:52:33 Error occurred when checking for latest version: GET https://api.github.com/repos/uc-cdis/cdis-data-client/tags: 403 API rate limit exceeded for 3.86.93.34. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.) [rate reset in 13m53s]\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:33 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:33 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:33 File info prepared successfully\n", + "C1815936598_1.jpg 261.31 KiB / 261.31 KiB [===========================] 100.00%\n", + "C1815936598_1.jpg 261.31 KiB / 261.31 KiB [===========================] 100.00%\n", + "2025/05/20 18:52:33 1 files downloaded.\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:34 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:34 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:34 File info prepared successfully\n", + "C1820625014_1.jpg 3.79 MiB / 3.79 MiB [===============================] 100.00%\n", + "C1820625014_1.jpg 3.79 MiB / 3.79 MiB [===============================] 100.00%\n", + "2025/05/20 18:52:35 1 files downloaded.\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:35 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:35 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:35 File info prepared successfully\n", + "C1577882710_1.jpg 3.88 MiB / 3.88 MiB [===============================] 100.00%\n", + "C1577882710_1.jpg 3.88 MiB / 3.88 MiB [===============================] 100.00%\n", + "2025/05/20 18:52:36 1 files downloaded.\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:36 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:36 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:36 File info prepared successfully\n", + "C1340233122_1.jpg 2.50 MiB / 2.50 MiB [===============================] 100.00%\n", + "C1340233122_1.jpg 2.50 MiB / 2.50 MiB [===============================] 100.00%\n", + "2025/05/20 18:52:37 1 files downloaded.\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:37 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:37 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:37 File info prepared successfully\n", + "C451256834_1.jpg 1.87 MiB / 1.87 MiB [================================] 100.00%\n", + "C451256834_1.jpg 1.87 MiB / 1.87 MiB [================================] 100.00%\n", + "2025/05/20 18:52:37 1 files downloaded.\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:38 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:38 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:38 File info prepared successfully\n", + "C1170636574_1.jpg 414.73 KiB / 414.73 KiB [===========================] 100.00%\n", + "C1170636574_1.jpg 414.73 KiB / 414.73 KiB [===========================] 100.00%\n", + "2025/05/20 18:52:38 1 files downloaded.\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:39 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:39 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:39 File info prepared successfully\n", + "C214284022_1.jpg 480.00 KiB / 480.00 KiB [============================] 100.00%\n", + "C214284022_1.jpg 480.00 KiB / 480.00 KiB [============================] 100.00%\n", + "2025/05/20 18:52:39 1 files downloaded.\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:40 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:40 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:40 File info prepared successfully\n", + "C1736502752_1.jpg 428.08 KiB / 428.08 KiB [===========================] 100.00%\n", + "C1736502752_1.jpg 428.08 KiB / 428.08 KiB [===========================] 100.00%\n", + "2025/05/20 18:52:40 1 files downloaded.\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:41 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:41 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:41 File info prepared successfully\n", + "C787354480_1.jpg 496.49 KiB / 496.49 KiB [============================] 100.00%\n", + "C787354480_1.jpg 496.49 KiB / 496.49 KiB [============================] 100.00%\n", + "2025/05/20 18:52:41 1 files downloaded.\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:42 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:42 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:42 File info prepared successfully\n", + "C1807568100_1.jpg 458.66 KiB / 458.66 KiB [===========================] 100.00%\n", + "C1807568100_1.jpg 458.66 KiB / 458.66 KiB [===========================] 100.00%\n", + "2025/05/20 18:52:42 1 files downloaded.\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:43 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:43 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:43 File info prepared successfully\n", + "C56842798_2.jpg 303.59 KiB / 303.59 KiB [=============================] 100.00%\n", + "C56842798_2.jpg 303.59 KiB / 303.59 KiB [=============================] 100.00%\n", + "2025/05/20 18:52:43 1 files downloaded.\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:44 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:44 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:44 File info prepared successfully\n", + "C381021618_1.jpg 1.91 MiB / 1.91 MiB [================================] 100.00%\n", + "C381021618_1.jpg 1.91 MiB / 1.91 MiB [================================] 100.00%\n", + "2025/05/20 18:52:44 1 files downloaded.\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:45 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:45 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:45 File info prepared successfully\n", + "C214284022_2.jpg 4.01 MiB / 4.01 MiB [================================] 100.00%\n", + "C214284022_2.jpg 4.01 MiB / 4.01 MiB [================================] 100.00%\n", + "2025/05/20 18:52:45 1 files downloaded.\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:46 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:46 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:46 File info prepared successfully\n", + "C1807568100_3.jpg 404.30 KiB / 404.30 KiB [===========================] 100.00%\n", + "C1807568100_3.jpg 404.30 KiB / 404.30 KiB [===========================] 100.00%\n", + "2025/05/20 18:52:46 1 files downloaded.\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:47 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:47 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:47 File info prepared successfully\n", + "C1405101280_1.jpg 462.60 KiB / 462.60 KiB [===========================] 100.00%\n", + "C1405101280_1.jpg 462.60 KiB / 462.60 KiB [===========================] 100.00%\n", + "2025/05/20 18:52:47 1 files downloaded.\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:48 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:48 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:48 File info prepared successfully\n", + "C720830472_1.jpg 3.95 MiB / 3.95 MiB [================================] 100.00%\n", + "C720830472_1.jpg 3.95 MiB / 3.95 MiB [================================] 100.00%\n", + "2025/05/20 18:52:48 1 files downloaded.\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:49 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:49 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:49 File info prepared successfully\n", + "C399039842_1.jpg 3.07 MiB / 3.07 MiB [================================] 100.00%\n", + "C399039842_1.jpg 3.07 MiB / 3.07 MiB [================================] 100.00%\n", + "2025/05/20 18:52:49 1 files downloaded.\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:50 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:50 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:50 File info prepared successfully\n", + "C961182904_1.jpg 2.40 MiB / 2.40 MiB [================================] 100.00%\n", + "C961182904_1.jpg 2.40 MiB / 2.40 MiB [================================] 100.00%\n", + "2025/05/20 18:52:50 1 files downloaded.\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:51 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:51 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:51 File info prepared successfully\n", + "C109585280_2.jpg 364.06 KiB / 364.06 KiB [============================] 100.00%\n", + "C109585280_2.jpg 364.06 KiB / 364.06 KiB [============================] 100.00%\n", + "2025/05/20 18:52:51 1 files downloaded.\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:52 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:52 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:52 File info prepared successfully\n", + "C1888749084_1.jpg 2.54 MiB / 2.54 MiB [===============================] 100.00%\n", + "C1888749084_1.jpg 2.54 MiB / 2.54 MiB [===============================] 100.00%\n", + "2025/05/20 18:52:52 1 files downloaded.\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:53 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:53 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:53 File info prepared successfully\n", + "C1374947572_1.jpg 337.17 KiB / 337.17 KiB [===========================] 100.00%\n", + "C1374947572_1.jpg 337.17 KiB / 337.17 KiB [===========================] 100.00%\n", + "2025/05/20 18:52:53 1 files downloaded.\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:54 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:54 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:54 File info prepared successfully\n", + "C1347958294_1.jpg 583.71 KiB / 583.71 KiB [===========================] 100.00%\n", + "C1347958294_1.jpg 583.71 KiB / 583.71 KiB [===========================] 100.00%\n", + "2025/05/20 18:52:54 1 files downloaded.\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:55 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:55 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:55 File info prepared successfully\n", + "C1077452144_1.jpg 2.31 MiB / 2.31 MiB [===============================] 100.00%\n", + "C1077452144_1.jpg 2.31 MiB / 2.31 MiB [===============================] 100.00%\n", + "2025/05/20 18:52:55 1 files downloaded.\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:56 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:56 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:56 File info prepared successfully\n", + "C56612346_1.jpg 3.39 MiB / 3.39 MiB [=================================] 100.00%\n", + "C56612346_1.jpg 3.39 MiB / 3.39 MiB [=================================] 100.00%\n", + "2025/05/20 18:52:56 1 files downloaded.\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:57 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:57 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:57 File info prepared successfully\n", + "C759320696.jpg 105.98 KiB / 105.98 KiB [==============================] 100.00%\n", + "C759320696.jpg 105.98 KiB / 105.98 KiB [==============================] 100.00%\n", + "2025/05/20 18:52:57 1 files downloaded.\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:58 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:58 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:58 File info prepared successfully\n", + "C1763639778_1.jpg 2.22 MiB / 2.22 MiB [===============================] 100.00%\n", + "C1763639778_1.jpg 2.22 MiB / 2.22 MiB [===============================] 100.00%\n", + "2025/05/20 18:52:58 1 files downloaded.\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:52:59 Total number of objects in manifest: 1\n", + "2025/05/20 18:52:59 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:52:59 File info prepared successfully\n", + "C1402041738_1.jpg 393.56 KiB / 393.56 KiB [===========================] 100.00%\n", + "C1402041738_1.jpg 393.56 KiB / 393.56 KiB [===========================] 100.00%\n", + "2025/05/20 18:52:59 1 files downloaded.\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:53:00 Total number of objects in manifest: 1\n", + "2025/05/20 18:53:00 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:53:00 File info prepared successfully\n", + "C1984979028_2.jpg 3.47 MiB / 3.47 MiB [===============================] 100.00%\n", + "C1984979028_2.jpg 3.47 MiB / 3.47 MiB [===============================] 100.00%\n", + "2025/05/20 18:53:00 1 files downloaded.\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:53:01 Total number of objects in manifest: 1\n", + "2025/05/20 18:53:01 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:53:01 File info prepared successfully\n", + "C24362764_1.jpg 2.87 MiB / 2.87 MiB [=================================] 100.00%\n", + "C24362764_1.jpg 2.87 MiB / 2.87 MiB [=================================] 100.00%\n", + "2025/05/20 18:53:01 1 files downloaded.\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:53:02 Total number of objects in manifest: 1\n", + "2025/05/20 18:53:02 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:53:02 File info prepared successfully\n", + "C1269679480_1.jpg 509.24 KiB / 509.24 KiB [===========================] 100.00%\n", + "C1269679480_1.jpg 509.24 KiB / 509.24 KiB [===========================] 100.00%\n", + "2025/05/20 18:53:02 1 files downloaded.\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:53:03 Total number of objects in manifest: 1\n", + "2025/05/20 18:53:03 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:53:03 File info prepared successfully\n", + "C1683349088_1.jpg 1.68 MiB / 1.68 MiB [===============================] 100.00%\n", + "C1683349088_1.jpg 1.68 MiB / 1.68 MiB [===============================] 100.00%\n", + "2025/05/20 18:53:03 1 files downloaded.\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:53:04 Total number of objects in manifest: 1\n", + "2025/05/20 18:53:04 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:53:04 File info prepared successfully\n", + "C291964410_1.jpg 2.73 MiB / 2.73 MiB [================================] 100.00%\n", + "C291964410_1.jpg 2.73 MiB / 2.73 MiB [================================] 100.00%\n", + "2025/05/20 18:53:04 1 files downloaded.\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:53:05 Total number of objects in manifest: 1\n", + "2025/05/20 18:53:05 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:53:05 File info prepared successfully\n", + "C410828272_1.jpg 2.57 MiB / 2.57 MiB [================================] 100.00%\n", + "C410828272_1.jpg 2.57 MiB / 2.57 MiB [================================] 100.00%\n", + "2025/05/20 18:53:05 1 files downloaded.\n", + "WARNING: flag \"rename\" was set to false in \"original\" mode, duplicated files under \"/home/jovyan/pd/Downloaded_Data/pathology_slides/\" will be overwritten\n", + "2025/05/20 18:53:06 Total number of objects in manifest: 1\n", + "2025/05/20 18:53:06 Preparing file info for each file, please wait...\n", + " 1 / 1 [============================================================] 100.00% 0s\n", + "2025/05/20 18:53:06 File info prepared successfully\n", + "C1984979028_1.jpg 4.11 MiB / 4.11 MiB [===============================] 100.00%\n", + "C1984979028_1.jpg 4.11 MiB / 4.11 MiB [===============================] 100.00%\n", + "2025/05/20 18:53:06 1 files downloaded.\n" + ] + } + ], + "source": [ + "!mkdir -p /home/jovyan/pd/Downloaded_Data/pathology_slides\n", + "dl_dir = '/home/jovyan/pd/Downloaded_Data/pathology_slides'\n", + "\n", + "for object_id in slide_object_ids:\n", + " !/home/jovyan/pd/.gen3/gen3-client download-single --guid=$object_id --profile=vpodc --download-path=$dl_dir --no-prompt" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 🧮 Verify Downloaded Files\n", + "\n", + "After completing the download loop, we verify the total number of pathology slide images that were successfully saved. \n", + "This command searches the download directory (`$dl_dir`) for all `.jpg` files and counts them using `wc -l`.\n", + "\n", + "> This provides a quick sanity check to ensure the number of downloaded files matches the number of requested `object_id`s.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "56\n" + ] + } + ], + "source": [ + "!find $dl_dir -name '*.jpg' | wc -l" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "## 📚 References and Next Steps\n", + "- [Gen3 Client Documentation](https://gen3.org/resources/user/gen3-client/)\n", + "- [Gen3 Commons Portal](https://gen3.datacommons.io/)\n", + "- [VPODC Project Overview](https://vpodc.data-commons.org/)\n", + "\n", + "If you encounter download errors (e.g., HTTP 403), ensure your Gen3 credentials are correctly configured and your profile has access permissions.\n", + "\n", + "For additional help, contact your system administrator or Gen3 support." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.6" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} From 862808a6bedad9eccfa4adb2b055f0da7bcbc574 Mon Sep 17 00:00:00 2001 From: danbiber Date: Tue, 24 Jun 2025 10:06:28 -0400 Subject: [PATCH 002/108] add the metabolomics notebook to the container --- .secrets.baseline | 346 +++++- .../metabolomics_notebook.ipynb | 1025 +++++++++++++++++ 2 files changed, 1308 insertions(+), 63 deletions(-) create mode 100644 jupyter-prometheus/combined_demos/metabolomics_notebook.ipynb diff --git a/.secrets.baseline b/.secrets.baseline index 51fba32f..fbb9e2db 100644 --- a/.secrets.baseline +++ b/.secrets.baseline @@ -1,11 +1,11 @@ { - "generated_at": "2025-03-13T12:32:39Z", + "version": "1.5.0", "plugins_used": [ { - "name": "AWSKeyDetector" + "name": "ArtifactoryDetector" }, { - "name": "ArtifactoryDetector" + "name": "AWSKeyDetector" }, { "name": "Base64HighEntropyString", @@ -31,8 +31,8 @@ "name": "JwtTokenDetector" }, { - "keyword_exclude": null, - "name": "KeywordDetector" + "name": "KeywordDetector", + "keyword_exclude": "" }, { "name": "MailchimpDetector" @@ -53,14 +53,105 @@ "name": "TwilioKeyDetector" } ], + "filters_used": [ + { + "path": "detect_secrets.filters.allowlist.is_line_allowlisted" + }, + { + "path": "detect_secrets.filters.common.is_baseline_file", + "filename": ".secrets.baseline" + }, + { + "path": "detect_secrets.filters.common.is_ignored_due_to_verification_policies", + "min_level": 2 + }, + { + "path": "detect_secrets.filters.heuristic.is_indirect_reference" + }, + { + "path": "detect_secrets.filters.heuristic.is_likely_id_string" + }, + { + "path": "detect_secrets.filters.heuristic.is_lock_file" + }, + { + "path": "detect_secrets.filters.heuristic.is_not_alphanumeric_string" + }, + { + "path": "detect_secrets.filters.heuristic.is_potential_uuid" + }, + { + "path": "detect_secrets.filters.heuristic.is_prefixed_with_dollar_sign" + }, + { + "path": "detect_secrets.filters.heuristic.is_sequential_string" + }, + { + "path": "detect_secrets.filters.heuristic.is_swagger_file" + }, + { + "path": "detect_secrets.filters.heuristic.is_templated_secret" + } + ], "results": { - ".github/workflows/build_and_push_nf_base_images.yml": [ + "BRH-notebooks/combined_demos/MIDRC_CT_Scan_Demo.ipynb": [ + { + "type": "Base64 High Entropy String", + "filename": "BRH-notebooks/combined_demos/MIDRC_CT_Scan_Demo.ipynb", + "hashed_secret": "500b58a549dff0560e74a33651cc31b68302b0fd", + "is_verified": false, + "line_number": 263 + }, + { + "type": "Base64 High Entropy String", + "filename": "BRH-notebooks/combined_demos/MIDRC_CT_Scan_Demo.ipynb", + "hashed_secret": "e39785f4bcfb4485e9ca233c40bdfb017735a2e8", + "is_verified": false, + "line_number": 385 + }, + { + "type": "Base64 High Entropy String", + "filename": "BRH-notebooks/combined_demos/MIDRC_CT_Scan_Demo.ipynb", + "hashed_secret": "553adf007b4bc9b6661ac95376d33aa5408d0b6e", + "is_verified": false, + "line_number": 407 + }, { "type": "Base64 High Entropy String", - "filename": ".github/workflows/build_and_push_nf_base_images.yml", - "hashed_secret": "8ca221cf185226c33b30e6b150183acb037eff56", + "filename": "BRH-notebooks/combined_demos/MIDRC_CT_Scan_Demo.ipynb", + "hashed_secret": "489cc204b4d305cb05da8fe683e4cbe191a7c393", "is_verified": false, - "line_number": 76 + "line_number": 429 + } + ], + "BRH-notebooks/combined_demos/MIDRC_Clinical_Data.ipynb": [ + { + "type": "Base64 High Entropy String", + "filename": "BRH-notebooks/combined_demos/MIDRC_Clinical_Data.ipynb", + "hashed_secret": "d1fa04323f7f3c8fea4c36cbd9c177ec75e1a1e1", + "is_verified": false, + "line_number": 364 + }, + { + "type": "Base64 High Entropy String", + "filename": "BRH-notebooks/combined_demos/MIDRC_Clinical_Data.ipynb", + "hashed_secret": "532a38de55533f9294eedc9e32616fa2851c2b46", + "is_verified": false, + "line_number": 418 + }, + { + "type": "Base64 High Entropy String", + "filename": "BRH-notebooks/combined_demos/MIDRC_Clinical_Data.ipynb", + "hashed_secret": "29337368ef4cee773f3f8b0f91a484c6d36df1a8", + "is_verified": false, + "line_number": 469 + }, + { + "type": "Base64 High Entropy String", + "filename": "BRH-notebooks/combined_demos/MIDRC_Clinical_Data.ipynb", + "hashed_secret": "e6094fb6fb550f9563177d993a1fc836c7af7537", + "is_verified": false, + "line_number": 518 } ], "BRH-notebooks/combined_demos/OADC_CCLE_gene_expression_data_analysis.ipynb": [ @@ -93,34 +184,176 @@ "line_number": 468 } ], - "jupyter-geo/start.sh": [ + "BRH-notebooks/combined_demos/PDC_clustergram.ipynb": [ { - "type": "Secret Keyword", - "filename": "jupyter-geo/start.sh", - "hashed_secret": "f98370d81077aed0aa3500bfc8de3f3e1dac52f6", + "type": "Base64 High Entropy String", + "filename": "BRH-notebooks/combined_demos/PDC_clustergram.ipynb", + "hashed_secret": "8736ec827f9de5169d3c84b3f057ca0165c9c4d5", "is_verified": false, - "line_number": 17 + "line_number": 442 + }, + { + "type": "Base64 High Entropy String", + "filename": "BRH-notebooks/combined_demos/PDC_clustergram.ipynb", + "hashed_secret": "c48a49cf5482053321c5e32743cf9239fbbbc049", + "is_verified": false, + "line_number": 491 } ], - "jupyter-slim/jupyterslim.yaml": [ + "jupyter-jcoin/resources/JCOIN_Tracking_Opioid_Stigma.ipynb": [ { - "type": "Secret Keyword", - "filename": "jupyter-slim/jupyterslim.yaml", - "hashed_secret": "9b5925ea817163740dfb287a9894e8ab3aba2c18", + "type": "Base64 High Entropy String", + "filename": "jupyter-jcoin/resources/JCOIN_Tracking_Opioid_Stigma.ipynb", + "hashed_secret": "cd9f822dc0db08bc0870df0c4b62941ae66510e7", + "is_verified": false, + "line_number": 812 + }, + { + "type": "Base64 High Entropy String", + "filename": "jupyter-jcoin/resources/JCOIN_Tracking_Opioid_Stigma.ipynb", + "hashed_secret": "b8aece89018b37b775d125047fa9b8e616f72a1e", + "is_verified": false, + "line_number": 1049 + }, + { + "type": "Base64 High Entropy String", + "filename": "jupyter-jcoin/resources/JCOIN_Tracking_Opioid_Stigma.ipynb", + "hashed_secret": "c0d2b606eddb01acc7627d0ece549c705f709376", "is_verified": false, - "line_number": 12 + "line_number": 1398 + }, + { + "type": "Base64 High Entropy String", + "filename": "jupyter-jcoin/resources/JCOIN_Tracking_Opioid_Stigma.ipynb", + "hashed_secret": "3d589fb1cd399f55fb80c6bdf76bf59461e7a1b9", + "is_verified": false, + "line_number": 1747 } ], - "vlmd-submission-tools/poetry.lock": [ + "jupyter-prometheus/combined_demos/PDC_clustergram.ipynb": [ { - "type": "Hex High Entropy String", - "filename": "vlmd-submission-tools/poetry.lock", - "hashed_secret": "e1df343623dcc5d44e3a7da0e09ee4b0c980b52f", + "type": "Base64 High Entropy String", + "filename": "jupyter-prometheus/combined_demos/PDC_clustergram.ipynb", + "hashed_secret": "8736ec827f9de5169d3c84b3f057ca0165c9c4d5", "is_verified": false, - "line_number": 1519 + "line_number": 442 + }, + { + "type": "Base64 High Entropy String", + "filename": "jupyter-prometheus/combined_demos/PDC_clustergram.ipynb", + "hashed_secret": "c48a49cf5482053321c5e32743cf9239fbbbc049", + "is_verified": false, + "line_number": 491 + } + ], + "jupyter-prometheus/combined_demos/metabolomics_notebook.ipynb": [ + { + "type": "Base64 High Entropy String", + "filename": "jupyter-prometheus/combined_demos/metabolomics_notebook.ipynb", + "hashed_secret": "7cb4b3597ca086dcc5e034dfd7d4c755f8d46bb1", + "is_verified": false, + "line_number": 525 + }, + { + "type": "Base64 High Entropy String", + "filename": "jupyter-prometheus/combined_demos/metabolomics_notebook.ipynb", + "hashed_secret": "da1f92f747b04764fa2e37e48358ee5725b8e5a9", + "is_verified": false, + "line_number": 535 + }, + { + "type": "Base64 High Entropy String", + "filename": "jupyter-prometheus/combined_demos/metabolomics_notebook.ipynb", + "hashed_secret": "8e1ab2b47f4911f271399bde9ed1a151a8ded481", + "is_verified": false, + "line_number": 545 + }, + { + "type": "Base64 High Entropy String", + "filename": "jupyter-prometheus/combined_demos/metabolomics_notebook.ipynb", + "hashed_secret": "6ca47d3cda6fd7667163cc644d1dbf4b92ad07c9", + "is_verified": false, + "line_number": 555 + }, + { + "type": "Base64 High Entropy String", + "filename": "jupyter-prometheus/combined_demos/metabolomics_notebook.ipynb", + "hashed_secret": "edb14e4918239549f34209359953a9c15801c572", + "is_verified": false, + "line_number": 565 + }, + { + "type": "Base64 High Entropy String", + "filename": "jupyter-prometheus/combined_demos/metabolomics_notebook.ipynb", + "hashed_secret": "076d75ede853dde6c50d2cb2ff8266cbfe9ebdb9", + "is_verified": false, + "line_number": 575 + }, + { + "type": "Base64 High Entropy String", + "filename": "jupyter-prometheus/combined_demos/metabolomics_notebook.ipynb", + "hashed_secret": "501ddd48b1e1a6c65fa1ed90471dca967536e632", + "is_verified": false, + "line_number": 662 + }, + { + "type": "Base64 High Entropy String", + "filename": "jupyter-prometheus/combined_demos/metabolomics_notebook.ipynb", + "hashed_secret": "2ce0cd7f3d12f6ca95f842fffcd62638017b83c7", + "is_verified": false, + "line_number": 760 + }, + { + "type": "Base64 High Entropy String", + "filename": "jupyter-prometheus/combined_demos/metabolomics_notebook.ipynb", + "hashed_secret": "894d71ab4b433faa9f4d5b9bf5464ceb61836f44", + "is_verified": false, + "line_number": 851 + }, + { + "type": "Base64 High Entropy String", + "filename": "jupyter-prometheus/combined_demos/metabolomics_notebook.ipynb", + "hashed_secret": "45c6685c0c853360ed8d8e95b35aa9b4ae3c5660", + "is_verified": false, + "line_number": 861 + }, + { + "type": "Base64 High Entropy String", + "filename": "jupyter-prometheus/combined_demos/metabolomics_notebook.ipynb", + "hashed_secret": "4c0fcd70d66e000f59cf6fdb1e1663ac4dee7365", + "is_verified": false, + "line_number": 871 } ], "vlmd-submission-tools/tests/test_common_utils.py": [ + { + "type": "Secret Keyword", + "filename": "vlmd-submission-tools/tests/test_common_utils.py", + "hashed_secret": "42828dbcc6b96bdd2ba1fa58759f6a13d25c9670", + "is_verified": false, + "line_number": 16 + }, + { + "type": "Secret Keyword", + "filename": "vlmd-submission-tools/tests/test_common_utils.py", + "hashed_secret": "4ed9409c478d335091fca530fe96e2274d6ce02d", + "is_verified": false, + "line_number": 17 + }, + { + "type": "Secret Keyword", + "filename": "vlmd-submission-tools/tests/test_common_utils.py", + "hashed_secret": "37e94c31b6a756ba2afd2fe9a9765172cd79ac47", + "is_verified": false, + "line_number": 19 + }, + { + "type": "Secret Keyword", + "filename": "vlmd-submission-tools/tests/test_common_utils.py", + "hashed_secret": "fcdc2e835b7d67dda7308d7f14be39e60d69e9b0", + "is_verified": false, + "line_number": 23 + }, { "type": "Secret Keyword", "filename": "vlmd-submission-tools/tests/test_common_utils.py", @@ -135,7 +368,7 @@ "filename": "vlmd-submission-tools/tests/test_subcommand_get_dictionary_url.py", "hashed_secret": "8318df9ecda039deac9868adf1944a29a95c7114", "is_verified": false, - "line_number": 151 + "line_number": 55 } ], "vlmd-submission-tools/tests/test_subcommand_upload_dictionary_to_mds.py": [ @@ -144,45 +377,32 @@ "filename": "vlmd-submission-tools/tests/test_subcommand_upload_dictionary_to_mds.py", "hashed_secret": "8318df9ecda039deac9868adf1944a29a95c7114", "is_verified": false, - "line_number": 163 + "line_number": 61 + } + ], + "vlmd-submission-tools/vlmd_submission_tools/common/config.py": [ + { + "type": "Secret Keyword", + "filename": "vlmd-submission-tools/vlmd_submission_tools/common/config.py", + "hashed_secret": "df154378cdb95ea47c440a1f676d2e73f6f4b245", + "is_verified": false, + "line_number": 8 + }, + { + "type": "Secret Keyword", + "filename": "vlmd-submission-tools/vlmd_submission_tools/common/config.py", + "hashed_secret": "4ed9409c478d335091fca530fe96e2274d6ce02d", + "is_verified": false, + "line_number": 9 + }, + { + "type": "Secret Keyword", + "filename": "vlmd-submission-tools/vlmd_submission_tools/common/config.py", + "hashed_secret": "8318df9ecda039deac9868adf1944a29a95c7114", + "is_verified": false, + "line_number": 15 } ] }, - "version": "1.5.0", - "filters_used": [ - { - "path": "detect_secrets.filters.allowlist.is_line_allowlisted" - }, - { - "path": "detect_secrets.filters.heuristic.is_sequential_string" - }, - { - "path": "detect_secrets.filters.heuristic.is_potential_uuid" - }, - { - "path": "detect_secrets.filters.heuristic.is_likely_id_string" - }, - { - "path": "detect_secrets.filters.heuristic.is_templated_secret" - }, - { - "path": "detect_secrets.filters.heuristic.is_prefixed_with_dollar_sign" - }, - { - "path": "detect_secrets.filters.heuristic.is_indirect_reference" - }, - { - "path": "detect_secrets.filters.common.is_ignored_due_to_verification_policies", - "min_level": 2 - }, - { - "path": "detect_secrets.filters.heuristic.is_lock_file" - }, - { - "path": "detect_secrets.filters.heuristic.is_not_alphanumeric_string" - }, - { - "path": "detect_secrets.filters.heuristic.is_swagger_file" - } - ] + "generated_at": "2025-06-24T14:06:05Z" } diff --git a/jupyter-prometheus/combined_demos/metabolomics_notebook.ipynb b/jupyter-prometheus/combined_demos/metabolomics_notebook.ipynb new file mode 100644 index 00000000..c0ffbb84 --- /dev/null +++ b/jupyter-prometheus/combined_demos/metabolomics_notebook.ipynb @@ -0,0 +1,1025 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "c4ae70a1", + "metadata": {}, + "source": [ + "# 🧪 Metabolomics Analysis using Data from Metabolomics Workbench\n", + "\n", + "\n", + "\n", + "This notebook demonstrates a real-world data integration pipeline involving the **Murtha Cancer Center Data Platform** and external public resources like the **Metabolomics Workbench**. This notebook analyzes metabolomics data from study ID **ST003847**, a study retrieved from the [Metabolomics Workbench](https://www.metabolomicsworkbench.org/).\n", + "\n", + "---\n", + "\n", + "### 📁 Study Overview\n", + "\n", + "- **Study ID**: `ST003847` \n", + "- **Analysis ID**: `AN006322` \n", + "- **Project ID**: `PR002405` \n", + "- **DATATRACK ID**: `5761` \n", + "- **Submission Date**: `April 7, 2025`\n", + "\n", + "---\n", + "## 🧪 Project Details\n", + "\n", + "- **Project Title**: \n", + " *Differential acquisition of extracellular lipid correlates with pancreatic cancer subtype and metastatic tropism*\n", + "\n", + "- **Type**: Metabolomics \n", + "- **Institute**: University of California, San Francisco \n", + "- **Department**: Anatomy \n", + "- **PI**: Gilles Rademaker (📧 gilles.rademaker@ucsf.edu)\n", + "\n", + "---\n", + "\n", + "## 🧾 Study Summary (Key Insights)\n", + "\n", + "- Pancreatic ductal adenocarcinoma (PDAC) is a lethal disease with poor survival rates.\n", + "- PDAC can be classified into two molecular subtypes: **Basal** and **Classical**.\n", + "- The team identified differential expression of **PCSK9**, a regulator of LDL uptake:\n", + " - **Basal PDAC** shows suppressed PCSK9 and high LDL uptake.\n", + " - **Classical PDAC** expresses PCSK9 and shows distinct metastatic behavior.\n", + "- **Metastatic Tropism Insight**:\n", + " - Basal tumors are more likely to colonize the **liver**.\n", + " - Classical tumors show preference for **lung** metastasis.\n", + "- Modulating PCSK9 levels alters metastatic behavior, highlighting cholesterol metabolism as a potential therapeutic target.\n", + "\n", + "---\n", + "\n", + "## 🔬 Subject Metadata\n", + "\n", + "- **Subject Type**: Cultured Cells \n", + "- **Species**: *Homo sapiens* \n", + "- **NCBI Taxonomy ID**: 9606\n", + "\n", + "---\n", + "\n", + "### 📁 Files Used:\n", + "- `ST003847_factors.tsv`: Sample metadata including experimental condition (`Variant`) and identifiers.\n", + "- `ST003847_AN006322_datatable.tsv`: Metabolite intensities (rows: metabolites, columns: samples).\n", + "\n", + "---\n", + "\n", + "### 🎯 Objectives:\n", + "1. Align metadata and expression data using sample IDs.\n", + "2. Perform differential metabolite analysis between experimental groups.\n", + "3. Visualize variation using PCA, volcano plot, boxplots, and heatmaps.\n", + "\n", + "---" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "d1eecdff", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "📥 Downloading study-level data for ST003847...\n", + "\n", + "⬇️ summary ...\n", + " ✅ Saved to ST003847_summary.tsv\n", + "⬇️ factors ...\n", + " ✅ Saved to ST003847_factors.tsv\n", + "⬇️ analysis ...\n", + " ✅ Saved to ST003847_analysis.tsv\n", + "⬇️ metabolites ...\n", + " ✅ Saved to ST003847_metabolites.tsv\n", + "⬇️ data ...\n", + " ✅ Saved to ST003847_data.tsv\n", + "⬇️ mwtab ...\n", + " ✅ Saved to ST003847_mwtab.tsv\n", + "\n", + "📑 Fetching analysis ID list...\n", + "❌ API response indicates this output item does not exist.\n" + ] + } + ], + "source": [ + "import requests\n", + "import pandas as pd\n", + "from io import StringIO\n", + "from pathlib import Path\n", + "\n", + "study_id = \"ST003847\"\n", + "base_url = \"https://www.metabolomicsworkbench.org/rest\"\n", + "output_dir = Path(f\"{study_id}_api_downloads\")\n", + "output_dir.mkdir(exist_ok=True)\n", + "\n", + "endpoints = {\n", + " \"summary\": f\"{base_url}/study/study_id/{study_id}/summary/txt\",\n", + " \"factors\": f\"{base_url}/study/study_id/{study_id}/factors/txt\",\n", + " \"analysis\": f\"{base_url}/study/study_id/{study_id}/analysis/txt\",\n", + " \"metabolites\": f\"{base_url}/study/study_id/{study_id}/metabolites/txt\",\n", + " \"data\": f\"{base_url}/study/study_id/{study_id}/data/txt\",\n", + " \"mwtab\": f\"{base_url}/study/study_id/{study_id}/mwtab/txt\",\n", + "}\n", + "\n", + "print(f\"📥 Downloading study-level data for {study_id}...\\n\")\n", + "for name, url in endpoints.items():\n", + " print(f\"⬇️ {name} ...\")\n", + " r = requests.get(url)\n", + " if r.status_code == 200:\n", + " file_path = output_dir / f\"{study_id}_{name}.tsv\"\n", + " file_path.write_text(r.text)\n", + " print(f\" ✅ Saved to {file_path.name}\")\n", + " else:\n", + " print(f\" ❌ Failed: HTTP {r.status_code}\")\n", + "\n", + "\n", + "print(\"\\n📑 Fetching analysis ID list...\")\n", + "alist_url = f\"{base_url}/study/study_id/{study_id}/analysis_id/txt\"\n", + "r = requests.get(alist_url)\n", + "\n", + "if r.status_code == 200:\n", + " content = r.text.strip()\n", + " if \"does not exist\" in content.lower():\n", + " print(\"❌ API response indicates this output item does not exist.\")\n", + " else:\n", + " df = pd.read_csv(StringIO(content), header=None)\n", + " analysis_ids = df.iloc[:, 0].tolist()\n", + " print(f\" 🔢 Found {len(analysis_ids)} analysis ID(s): {analysis_ids}\")\n", + "\n", + " for aid in analysis_ids:\n", + " dt_url = f\"{base_url}/study/analysis_id/{aid}/datatable\"\n", + " print(f\"⬇️ Downloading datatable for {aid} ...\")\n", + " r2 = requests.get(dt_url)\n", + " if r2.status_code == 200:\n", + " outf = output_dir / f\"{study_id}_{aid}_datatable.tsv\"\n", + " outf.write_text(r2.text)\n", + " print(f\" ✅ Saved: {outf.name}\")\n", + " else:\n", + " print(f\" ❌ Failed {aid}: HTTP {r2.status_code}\")\n", + "else:\n", + " print(f\"❌ Failed to fetch analysis list: HTTP {r.status_code}\")" + ] + }, + { + "cell_type": "markdown", + "id": "6c0c9d62", + "metadata": {}, + "source": [ + "### ✅ Here's What Each File Gives You\n", + "\n", + "| File | Purpose |\n", + "|----------------------------------|----------------------------------------------------------|\n", + "| `ST003847_AN006322_datatable.tsv` | Intensity table for **identified metabolites** |\n", + "| `ST003847_data.tsv` | Intensity table (possibly full matrix, raw or normalized)|\n", + "| `ST003847_factors.tsv` | Sample metadata (group labels like subtype) |\n", + "| `ST003847_metabolites.tsv` | Metabolite annotations (RefMet, KEGG, etc.) |\n", + "| `ST003847_mwtab.tsv` | Full study data in standardized **mwTab** format |\n", + "| `ST003847_summary.tsv` | Summary of study design |\n", + "\n", + "\n", + "\n", + "---\n", + "\n", + "### 🌐 Integration Highlight\n", + "\n", + "This dataset showcases successful integration of **public metabolomics data** into our **Murtha Cancer Center's internal oncology informatics workflows**, enabling:\n", + "\n", + "- Cross-validation with **local multi-omic datasets**\n", + "- Hypothesis generation on metabolic vulnerabilities\n", + "- Enrichment of patient stratification models using public tumor metabolism signatures\n", + "\n", + "---\n", + "\n", + "➡️ [View Study on Metabolomics Workbench](https://www.metabolomicsworkbench.org/data/DRCCMetadata.php?STUDY_ID=ST003847)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "794262a4", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✅ Extracted analysis_id: AN006322\n" + ] + } + ], + "source": [ + "with open(\"ST003847_api_downloads/ST003847_analysis.tsv\") as f:\n", + " lines = f.readlines()\n", + "\n", + "analysis_info = dict(line.strip().split(\"\\t\", 1) for line in lines if \"\\t\" in line)\n", + "analysis_id = analysis_info.get(\"analysis_id\")\n", + "print(\"✅ Extracted analysis_id:\", analysis_id)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "8a3aa319", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✅ Datatable saved.\n" + ] + } + ], + "source": [ + "dt_url = f\"https://www.metabolomicsworkbench.org/rest/study/analysis_id/{analysis_id}/datatable\"\n", + "r = requests.get(dt_url)\n", + "if r.status_code == 200:\n", + " with open(f\"ST003847_api_downloads/ST003847_{analysis_id}_datatable.tsv\", \"w\") as f:\n", + " f.write(r.text)\n", + " print(\"✅ Datatable saved.\")\n", + "else:\n", + " print(f\"❌ Failed to download datatable: HTTP {r.status_code}\")" + ] + }, + { + "cell_type": "markdown", + "id": "e3198ddf", + "metadata": {}, + "source": [ + "## 📥 Load Metadata and Expression Data\n", + "\n", + "We load the metadata and expression data into pandas DataFrames. \n", + "Metadata is parsed from repeating blocks (6 rows per sample). \n", + "Expression data contains metabolite measurements for each sample." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "5eb35fb0", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "plt.rcParams['figure.dpi'] = 150\n", + "import seaborn as sns\n", + "from scipy.stats import ttest_ind\n", + "\n", + "# Step 1: Load and parse factors file\n", + "factors_path = \"ST003847_api_downloads/ST003847_factors.tsv\"\n", + "factors_df = pd.read_csv(factors_path, sep=\"\\t\")\n", + "\n", + "# Parse every 6-line block\n", + "parsed_records = []\n", + "sample_map = {}\n", + "for i in range(0, len(factors_df), 6):\n", + " record = {}\n", + " local_id, mb_id = None, None\n", + " for j in range(6):\n", + " if i + j >= len(factors_df):\n", + " continue\n", + " key, val = factors_df.iloc[i + j]\n", + " record[key] = val\n", + " if key == \"local_sample_id\":\n", + " local_id = str(val).strip()\n", + " if key == \"mb_sample_id\":\n", + " mb_id = str(val).strip()\n", + " if record:\n", + " parsed_records.append(record)\n", + " if local_id and mb_id:\n", + " sample_map[local_id] = mb_id" + ] + }, + { + "cell_type": "markdown", + "id": "d51b88e5", + "metadata": {}, + "source": [ + "## 🧼 Clean and Parse Metadata\n", + "\n", + "For each sample:\n", + "- Extract `local_sample_id` (used in data table).\n", + "- Extract `mb_sample_id` (unique sample ID like `SA420595`).\n", + "- Extract `Variant` label from the factors field.\n", + "\n", + "All values are compiled into a structured table for further merging." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "05cf289e", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "# Create metadata table and extract Variant\n", + "parsed_metadata = pd.DataFrame(parsed_records)\n", + "parsed_metadata[\"local_sample_id\"] = parsed_metadata[\"local_sample_id\"].astype(str)\n", + "parsed_metadata[\"mb_sample_id\"] = parsed_metadata[\"mb_sample_id\"].astype(str)\n", + "parsed_metadata[\"Variant\"] = (\n", + " parsed_metadata[\"factors\"].str.extract(r\"Variant:([^|]+)\").iloc[:, 0].str.strip()\n", + ")\n", + "\n", + "# Step 2: Load expression data\n", + "data_df = pd.read_csv(\n", + " \"ST003847_api_downloads/ST003847_AN006322_datatable.tsv\",\n", + " sep=\"\\t\",\n", + ")\n", + "data_df = data_df.rename(columns={\"Samples\": \"local_sample_id\"})\n", + "data_df[\"local_sample_id\"] = data_df[\"local_sample_id\"].astype(str)" + ] + }, + { + "cell_type": "markdown", + "id": "f1de9b21", + "metadata": {}, + "source": [ + "## 🧬 Prepare Expression Matrix and Align Samples\n", + "\n", + "Steps:\n", + "- Map `local_sample_id` to `mb_sample_id`.\n", + "- Match samples between metadata and expression data.\n", + "- Transpose the data to have **samples as rows**, metabolites as columns.\n", + "- Normalize using **z-score standardization** to center and scale each feature." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "f89abf68", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "# Step 3: Filter for common samples\n", + "common_ids = set(data_df[\"local_sample_id\"]) & set(parsed_metadata[\"local_sample_id\"])\n", + "data_df = data_df[data_df[\"local_sample_id\"].isin(common_ids)].copy()\n", + "parsed_metadata = parsed_metadata[\n", + " parsed_metadata[\"local_sample_id\"].isin(common_ids)\n", + "].copy()\n", + "\n", + "# Step 4: Set mb_sample_id as index for both\n", + "data_df[\"mb_sample_id\"] = data_df[\"local_sample_id\"].map(sample_map)\n", + "parsed_metadata.set_index(\"mb_sample_id\", inplace=True)\n", + "data_df.set_index(\"mb_sample_id\", inplace=True)\n", + "data_df.drop(columns=\"local_sample_id\", inplace=True)\n", + "\n", + "# Step 5: Group by Variant\n", + "group1 = data_df[parsed_metadata[\"Variant\"] == \"HPAC\"]\n", + "group2 = data_df[parsed_metadata[\"Variant\"] == \"KP4_Control\"]" + ] + }, + { + "cell_type": "markdown", + "id": "7b07fcd5", + "metadata": {}, + "source": [ + "## 🧪 Differential Analysis\n", + "\n", + "We compare metabolite levels between groups (e.g., `HPAC` vs `KP4_Control`) using **independent t-tests**.\n", + "\n", + "For each metabolite:\n", + "- Compute **p-value** using `scipy.stats.ttest_ind`.\n", + "- Calculate **log2 fold change** between the groups.\n", + "- Derive **-log10(p-value)** for volcano plot display.\n", + "\n", + "A result table includes:\n", + "\n", + "| Metabolite | p-value | log2FC | -log10(p-value) | Significant |\n", + "|----------------------|----------|----------|------------------|-------------|\n", + "| 7-Dehydrocholesterol | 0.001997 | -3.18512 | 2.69972 | True |\n", + "| 7-Dehydrodesmosterol | 0.737751 | -0.27769 | 0.13209 | False |" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "a98dbeb6", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Metabolitep-valuelog2FC-log10(p-value)Significant
07-Dehydrocholesterol0.001997-3.1851172.699721True
17-Dehydrodesmosterol0.737751-0.2776880.132090False
\n", + "
" + ], + "text/plain": [ + " Metabolite p-value log2FC -log10(p-value) Significant\n", + "0 7-Dehydrocholesterol 0.001997 -3.185117 2.699721 True\n", + "1 7-Dehydrodesmosterol 0.737751 -0.277688 0.132090 False" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Step 6: Differential analysis\n", + "ttest_results = []\n", + "for metabolite in data_df.columns:\n", + " if metabolite not in group1 or metabolite not in group2:\n", + " continue\n", + " values1 = group1[metabolite]\n", + " values2 = group2[metabolite]\n", + " if values1.nunique() <= 1 and values2.nunique() <= 1:\n", + " continue\n", + " stat, pval = ttest_ind(values1, values2, nan_policy=\"omit\")\n", + " fold_change = values1.mean() / values2.mean()\n", + " ttest_results.append(\n", + " {\"Metabolite\": metabolite, \"p-value\": pval, \"log2FC\": np.log2(fold_change)}\n", + " )\n", + "\n", + "ttest_df = pd.DataFrame(ttest_results)\n", + "ttest_df[\"-log10(p-value)\"] = -np.log10(ttest_df[\"p-value\"])\n", + "ttest_df[\"Significant\"] = ttest_df[\"p-value\"] < 0.1\n", + "ttest_df" + ] + }, + { + "cell_type": "markdown", + "id": "0e5f4904", + "metadata": {}, + "source": [ + "## 🌋 Volcano Plot\n", + "\n", + "Visual representation of differential analysis.\n", + "\n", + "- **X-axis**: Log2 Fold Change (expression difference).\n", + "- **Y-axis**: -log10(p-value) (statistical significance).\n", + "- **Each dot**: One metabolite.\n", + "\n", + "🧭 Threshold lines for:\n", + "- p-value = 0.05\n", + "\n", + "Color-coded by significance (if applied), or all points shown." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "3029b08a", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df = pd.read_csv(\"ST003847_api_downloads/ST003847_AN006322_datatable.tsv\", sep=\"\\t\")\n", + "\n", + "comparisons = [\n", + " (\"HPAC\", \"KP4_Control\"),\n", + " (\"HPAC\", \"KP4_D374Y\"),\n", + " (\"KP4_Control\", \"KP4_D374Y\"),\n", + " (\"KP4_WT\", \"KP4_R46L\"),\n", + " (\"KP4_D374Y\", \"KP4_WT\"),\n", + " (\"KP4_Control\", \"KP4_WT\"),\n", + "]\n", + "\n", + "metabolites = [\"7-Dehydrocholesterol\", \"7-Dehydrodesmosterol\"]\n", + "\n", + "for group1, group2 in comparisons:\n", + " df1 = df[df[\"Class\"].str.contains(group1, na=False)]\n", + " df2 = df[df[\"Class\"].str.contains(group2, na=False)]\n", + "\n", + " results = []\n", + " for met in metabolites:\n", + " stat, pval = ttest_ind(df1[met], df2[met], nan_policy=\"omit\")\n", + " log2fc = np.log2(df1[met].mean() / df2[met].mean())\n", + " results.append({\"Metabolite\": met, \"p-value\": pval, \"log2FC\": log2fc})\n", + "\n", + " volcano_df = pd.DataFrame(results)\n", + " volcano_df[\"-log10(p-value)\"] = -np.log10(volcano_df[\"p-value\"])\n", + "\n", + " plt.figure(figsize=(6, 5))\n", + " plot = sns.scatterplot(\n", + " data=volcano_df, x=\"log2FC\", y=\"-log10(p-value)\", hue=\"Metabolite\", s=100\n", + " )\n", + " plt.axhline(-np.log10(0.05), ls=\"--\", color=\"gray\")\n", + " plt.title(f\"Volcano Plot: {group1} vs {group2}\")\n", + " plt.xlabel(\"log2 Fold Change\")\n", + " plt.ylabel(\"-log10 p-value\")\n", + " plt.legend(title=\"Metabolite\", loc=\"best\")\n", + " plt.tight_layout()\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "34f26b2b-1f4d-4e8c-ba30-f62d148333e1", + "metadata": {}, + "source": [ + "## 📊 PCA Projection\n", + "- Conducted PCA to reduce the two selected metabolites to two principal components (PC1 and PC2).\n", + "- Plotted samples in the 2D PCA space colored by variant.\n", + "- Added **confidence ellipses** for each variant group (if enough data points exist), showing distribution in PCA space.\n", + "\n", + "## 📈 Result Interpretation\n", + "- The PCA plot helps visualize how samples cluster based on lipid metabolite profiles.\n", + "- Variants with similar metabolic behavior cluster together.\n", + "- The percentage variance explained by PC1 and PC2 is indicated on the axes." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "9ae1571a", + "metadata": { + "scrolled": true, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: scikit-learn in /opt/conda/lib/python3.9/site-packages (1.6.1)\n", + "Requirement already satisfied: scipy>=1.6.0 in /opt/conda/lib/python3.9/site-packages (from scikit-learn) (1.13.1)\n", + "Requirement already satisfied: threadpoolctl>=3.1.0 in /opt/conda/lib/python3.9/site-packages (from scikit-learn) (3.6.0)\n", + "Requirement already satisfied: numpy>=1.19.5 in /opt/conda/lib/python3.9/site-packages (from scikit-learn) (1.24.2)\n", + "Requirement already satisfied: joblib>=1.2.0 in /opt/conda/lib/python3.9/site-packages (from scikit-learn) (1.5.1)\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "!pip install scikit-learn\n", + "from sklearn.decomposition import PCA\n", + "from sklearn.preprocessing import StandardScaler\n", + "from matplotlib.patches import Ellipse\n", + "\n", + "\n", + "data_path = \"ST003847_api_downloads/ST003847_AN006322_datatable.tsv\"\n", + "df = pd.read_csv(data_path, sep=\"\\t\")\n", + "df[\"Variant\"] = df[\"Class\"].str.extract(r\"Variant:([^|]+)\").iloc[:, 0].str.strip()\n", + "df = df[~df[\"Variant\"].str.contains(\"STD\", na=False)]\n", + "\n", + "\n", + "features = [\"7-Dehydrocholesterol\", \"7-Dehydrodesmosterol\"]\n", + "scaler = StandardScaler()\n", + "scaled_features = scaler.fit_transform(df[features])\n", + "\n", + "\n", + "pca = PCA(n_components=2)\n", + "pca_result = pca.fit_transform(scaled_features)\n", + "\n", + "df[\"PC1\"] = pca_result[:, 0]\n", + "df[\"PC2\"] = pca_result[:, 1]\n", + "\n", + "\n", + "plt.figure(figsize=(12, 8))\n", + "sns.set(style=\"whitegrid\")\n", + "palette = sns.color_palette(\"husl\", df[\"Variant\"].nunique())\n", + "variant_color_map = dict(zip(df[\"Variant\"].unique(), palette))\n", + "\n", + "sns.scatterplot(data=df, x=\"PC1\", y=\"PC2\", hue=\"Variant\", palette=variant_color_map, s=100, edgecolor='w')\n", + "\n", + "\n", + "for variant, color in variant_color_map.items():\n", + " group = df[df[\"Variant\"] == variant]\n", + " if len(group) > 2:\n", + " cov = np.cov(group[[\"PC1\", \"PC2\"]].T)\n", + " mean = group[[\"PC1\", \"PC2\"]].mean().values\n", + " vals, vecs = np.linalg.eigh(cov)\n", + " order = vals.argsort()[::-1]\n", + " vals, vecs = vals[order], vecs[:, order]\n", + " angle = np.degrees(np.arctan2(*vecs[:, 0][::-1]))\n", + " width, height = 2 * np.sqrt(vals)\n", + " ellipse = Ellipse(xy=mean, width=width, height=height, angle=angle, color=color, alpha=0.2)\n", + " plt.gca().add_patch(ellipse)\n", + "\n", + "plt.title(\"PCA Plot by Variant (STD Samples Removed)\")\n", + "plt.xlabel(f\"PC1 ({pca.explained_variance_ratio_[0]*100:.1f}%)\")\n", + "plt.ylabel(f\"PC2 ({pca.explained_variance_ratio_[1]*100:.1f}%)\")\n", + "plt.legend(title=\"Variant\", bbox_to_anchor=(1.05, 1), loc='upper left')\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "dbd787b5-810b-4fe0-a767-449fe192027a", + "metadata": {}, + "source": [ + "### 🔬 Radar-style Heatmap: Z-score of Metabolites by Variant\n", + "\n", + "This section summarizes the metabolomic differences across sample **variants** using a radar-style heatmap visualization.\n", + "\n", + "\n", + "### 🧼 Data Processing Steps\n", + "1. **Remove standard samples** labeled as `STD` from the dataset.\n", + "2. **Extract `Variant` information** from the `Class` field.\n", + "3. **Select relevant metabolite columns**, excluding metadata like `Samples`, `Class`, and `Variant`.\n", + "4. **Aggregate** the dataset by `Variant` using the **mean** value for each metabolite.\n", + "5. **Z-score normalize** across all metabolites using `StandardScaler` to highlight relative intensities.\n", + "\n", + "### 🔥 Visualization\n", + "- The final plot is a **clustered heatmap** (radar-style) showing the standardized metabolite values (Z-scores) for each variant.\n", + "- Color gradients indicate **higher or lower abundance** relative to the mean.\n", + "- Helps visually detect **distinct metabolic profiles** across different variant groups.\n", + "\n", + "This method enables a high-level overview of how lipid profiles vary across PDAC subtypes or experimental conditions in the Murtha Cancer Center dataset." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "2b991436", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from sklearn.preprocessing import StandardScaler\n", + "\n", + "# Load data\n", + "data_path = \"ST003847_api_downloads/ST003847_AN006322_datatable.tsv\"\n", + "df = pd.read_csv(data_path, sep=\"\\t\")\n", + "\n", + "# Drop STD samples\n", + "df = df[~df[\"Class\"].str.contains(\"STD\", na=False)]\n", + "\n", + "# Keep only relevant columns: Variant and metabolite values\n", + "df[\"Variant\"] = df[\"Class\"].str.extract(r\"Variant:([^|]+)\").iloc[:, 0].str.strip()\n", + "metabolite_cols = df.columns.difference([\"Samples\", \"Class\", \"Variant\"])\n", + "df_clean = df[[\"Variant\"] + list(metabolite_cols)]\n", + "\n", + "# Group by Variant, take mean\n", + "grouped = df_clean.groupby(\"Variant\").mean()\n", + "\n", + "# Z-score normalize across metabolites\n", + "scaler = StandardScaler()\n", + "grouped_scaled = pd.DataFrame(scaler.fit_transform(grouped), \n", + " index=grouped.index, \n", + " columns=grouped.columns)\n", + "\n", + "# Plot radar heatmap (like clustered heatmap)\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "\n", + "plt.figure(figsize=(12, 6))\n", + "sns.heatmap(grouped_scaled, cmap=\"vlag\", annot=True, fmt=\".1f\", linewidths=0.5)\n", + "plt.title(\"Radar-style Heatmap: Z-score of Metabolites by Variant\")\n", + "plt.xlabel(\"Metabolites\")\n", + "plt.ylabel(\"Variant\")\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "c51f6e18-8116-4745-8545-a99d15d9c958", + "metadata": {}, + "source": [ + "### 📊 Visualization of Key Metabolites Across PDAC Variants\n", + "\n", + "In this section, we explore the distribution and abundance of two key metabolites:\n", + "- **7-Dehydrocholesterol**\n", + "- **7-Dehydrodesmosterol**\n", + "\n", + "\n", + "### 🧪 Processing Steps\n", + "1. **Load and clean the data**:\n", + " - Extract variant labels from the `Class` field.\n", + " - Remove standard/control samples labeled as `STD`.\n", + "\n", + "2. **Reshape the dataset** for tidy plotting using the `melt` function.\n", + "\n", + "### 📦 Visualizations\n", + "- **Boxplot**:\n", + " - Shows the **distribution** of metabolite levels across sample variants.\n", + " - Helps identify median, spread, and potential outliers.\n", + "\n", + "- **Swarmplot**:\n", + " - Overlays individual data points per sample.\n", + " - Highlights **within-variant variability** and cluster tightness.\n", + "\n", + "- **Barplot**:\n", + " - Displays **average abundance** of each metabolite by variant.\n", + " - Useful for comparing general trends across subtypes.\n", + "\n", + "These visualizations help us interpret how **lipid-related metabolites differ** across PDAC variants, supporting hypotheses about metabolic vulnerabilities and metastatic potential in classical vs. basal subtypes.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "4708184d", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from pathlib import Path\n", + "\n", + "# Load the corrected data\n", + "file_path = Path(\"ST003847_api_downloads/ST003847_AN006322_datatable.tsv\")\n", + "df = pd.read_csv(file_path, sep=\"\\t\")\n", + "\n", + "# Extract variant information from 'Class' column\n", + "df[\"Variant\"] = df[\"Class\"].str.extract(r\"Variant:([^|]+)\").iloc[:, 0].str.strip()\n", + "\n", + "# Filter out standard samples\n", + "df_filtered = df[~df[\"Variant\"].str.contains(\"STD\", na=False)]\n", + "\n", + "# Melt data for easier plotting\n", + "df_melted = df_filtered.melt(\n", + " id_vars=[\"Samples\", \"Variant\"],\n", + " value_vars=[\"7-Dehydrocholesterol\", \"7-Dehydrodesmosterol\"],\n", + " var_name=\"Metabolite\",\n", + " value_name=\"Abundance\"\n", + ")\n", + "\n", + "# Boxplot of metabolite levels per variant\n", + "plt.figure(figsize=(12, 6))\n", + "sns.boxplot(data=df_melted, x=\"Variant\", y=\"Abundance\", hue=\"Metabolite\")\n", + "plt.xticks(rotation=45)\n", + "plt.title(\"Distribution of Metabolite Levels by Variant\")\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Swarmplot for detailed data points\n", + "plt.figure(figsize=(12, 6))\n", + "sns.swarmplot(data=df_melted, x=\"Variant\", y=\"Abundance\", hue=\"Metabolite\", dodge=True)\n", + "plt.xticks(rotation=45)\n", + "plt.title(\"Metabolite Abundance per Sample Variant\")\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Barplot for average metabolite abundance\n", + "avg_df = df_melted.groupby([\"Variant\", \"Metabolite\"]).Abundance.mean().reset_index()\n", + "\n", + "plt.figure(figsize=(12, 6))\n", + "sns.barplot(data=avg_df, x=\"Variant\", y=\"Abundance\", hue=\"Metabolite\")\n", + "plt.title(\"Average Metabolite Abundance by Variant\")\n", + "plt.xticks(rotation=45)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "59dcca3d-7261-4b99-9f20-168d4ee102e6", + "metadata": {}, + "source": [ + "## 📥 Downloading and Extracting Raw Metabolomics Data\n", + "\n", + "To complement the processed data and support reproducibility, you could also retrieved the **raw data files** associated with the **ST003847** study from the **Metabolomics Workbench**.\n", + "\n", + "\n", + "We use the `curl` command to download the zipped archive containing raw experimental files.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "144d9bfc", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " % Total % Received % Xferd Average Speed Time Time Time Current\n", + " Dload Upload Total Spent Left Speed\n", + "100 15.3M 100 15.3M 0 0 6219k 0 0:00:02 0:00:02 --:--:-- 6219k\n" + ] + } + ], + "source": [ + "!curl -O https://www.metabolomicsworkbench.org/studydownload/ST003847_Rawdata.zip" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "f448a8df", + "metadata": {}, + "outputs": [], + "source": [ + "import zipfile\n", + "\n", + "zip_path = \"ST003847_Rawdata.zip\"\n", + "with zipfile.ZipFile(zip_path, \"r\") as zip_ref:\n", + " zip_ref.extractall(\"ST003847_raw\")" + ] + }, + { + "cell_type": "markdown", + "id": "c7d5bbba-95db-4b53-8a23-a8dbc0c76558", + "metadata": {}, + "source": [ + "## ✅ Summary\n", + "\n", + "In this notebook, we demonstrated how to integrate and analyze multi-source metabolomics data from the **Murtha Cancer Center Data Platform**, focusing on the study **ST003847** from the **Metabolomics Workbench**.\n", + "\n", + "### Key Highlights:\n", + "\n", + "- 📊 **Data Integration**: Downloaded processed and raw datasets linked to pancreatic cancer subtypes.\n", + "- 🧪 **Feature Extraction**: Parsed and cleaned metabolite measurements, removing standard (STD) samples.\n", + "- 📉 **Multivariate Analysis**: Performed PCA to visualize subtype separation based on lipid metabolite levels.\n", + "- 🔥 **Heatmap Visualization**: Created z-score normalized heatmaps to reveal metabolite patterns across variants.\n", + "- 📦 **Variant-Level Statistics**: Generated boxplots, swarmplots, and barplots to compare metabolite distributions by PDAC subtype.\n", + "- 🧬 **Biological Insight**: Observed clear differences in **7-Dehydrocholesterol** and **7-Dehydrodesmosterol** between PDAC variants, consistent with the project's hypothesis on cholesterol metabolism and metastatic tropism.\n", + "\n", + "### 🔁 Next Steps:\n", + "- Integrate additional `omics` layers (e.g., transcriptomics, proteomics) to build a systems-level view.\n", + "- Correlate lipid signatures with clinical metadata for prognostic modeling.\n", + "- Apply this framework to other MCCDP studies for cohort-wide biomarker discovery.\n", + "\n", + "This notebook showcases the power of combining public repositories and institutional data platforms for translational cancer research.\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From 6d5ae1285e8f429d95ea602d1531b28a1f5db05f Mon Sep 17 00:00:00 2001 From: danbiber Date: Thu, 10 Jul 2025 18:14:25 -0400 Subject: [PATCH 003/108] adding the tcia notebook --- .secrets.baseline | 32 +- .../combined_demos/TCIA_notebook.ipynb | 953 ++++++++++++++++++ 2 files changed, 984 insertions(+), 1 deletion(-) create mode 100644 jupyter-prometheus/combined_demos/TCIA_notebook.ipynb diff --git a/.secrets.baseline b/.secrets.baseline index fbb9e2db..11980104 100644 --- a/.secrets.baseline +++ b/.secrets.baseline @@ -246,6 +246,36 @@ "line_number": 491 } ], + "jupyter-prometheus/combined_demos/TCIA_notebook.ipynb": [ + { + "type": "Base64 High Entropy String", + "filename": "jupyter-prometheus/combined_demos/TCIA_notebook.ipynb", + "hashed_secret": "2f075534e5213d3933a79c44337571173eb140f5", + "is_verified": false, + "line_number": 626 + }, + { + "type": "Base64 High Entropy String", + "filename": "jupyter-prometheus/combined_demos/TCIA_notebook.ipynb", + "hashed_secret": "53251d438ac91654b80bb5fccc70fc7b77a79807", + "is_verified": false, + "line_number": 677 + }, + { + "type": "Base64 High Entropy String", + "filename": "jupyter-prometheus/combined_demos/TCIA_notebook.ipynb", + "hashed_secret": "5a15cc58bf5d0cd3abc7fe7f69057d817db6e806", + "is_verified": false, + "line_number": 810 + }, + { + "type": "Base64 High Entropy String", + "filename": "jupyter-prometheus/combined_demos/TCIA_notebook.ipynb", + "hashed_secret": "8c04d414604e4a051e6c4e03aa66e4297c01ba3d", + "is_verified": false, + "line_number": 860 + } + ], "jupyter-prometheus/combined_demos/metabolomics_notebook.ipynb": [ { "type": "Base64 High Entropy String", @@ -404,5 +434,5 @@ } ] }, - "generated_at": "2025-06-24T14:06:05Z" + "generated_at": "2025-07-10T22:14:08Z" } diff --git a/jupyter-prometheus/combined_demos/TCIA_notebook.ipynb b/jupyter-prometheus/combined_demos/TCIA_notebook.ipynb new file mode 100644 index 00000000..36b4ef1c --- /dev/null +++ b/jupyter-prometheus/combined_demos/TCIA_notebook.ipynb @@ -0,0 +1,953 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "194d48a6-3f40-41f9-832a-66b771969140", + "metadata": {}, + "source": [ + "# 🧬🔗 **Cross-Commons Radiogenomic Integration Notebook** \n", + "\n", + "### *Cohort A — 32 Veterans Affairs RePOP patients present in both* \n", + "**VPODC**
*(VA Precision Oncology Data Commons — clinical + omics)* \n", + "& \n", + "**TCIA**
*(The Cancer Imaging Archive — multi-modal DICOM)* \n", + "\n", + "---\n", + "\n", + "**Why this notebook?** \n", + "Modern precision-oncology studies rarely live in a single repository. Genomic\n", + "VCFs may sit in an institutional commons, while matched CT / MR scans land in\n", + "TCIA—and clinical annotations are scattered elsewhere. Researchers therefore\n", + "need a **transparent, code-first recipe** that:\n", + "\n", + "1. **Discovers** overlapping patient identities across repositories \n", + "2. **Consolidates** imaging, genomics, and phenotypic metadata into one tidy\n", + " dataframe \n", + "3. **Validates** the join with quick visual sanity-checks \n", + "4. **Lays the groundwork** for downstream radiogenomic analytics or\n", + " ML pipelines.\n", + "\n", + "*This notebook delivers that recipe for RePOP Cohort A.*\n", + "\n", + "---\n", + "\n", + "### 🔍 At a glance\n", + "\n", + "| Aspect | Details |\n", + "|--------|---------|\n", + "| **Patients** | 32 individuals labelled `AP-xxxx` present in *both* VPODC metadata and TCIA collection **VAREPOP-APOLLO** |\n", + "| **Modalities** | • DICOM imaging: CT, MR, PET, MG
• Omics files: VCF, BAM, RNA-Seq quant, proteomics |\n", + "| **Outputs** | `shared_cohort_summary.csv` — counts of imaging series (`n_series`) and omics files (`n_files`) per patient |\n", + "| **Tech stack** | *tcia_utils / requests / pandas / pydicom / matplotlib* — **no credentials** required (public endpoints only) |\n", + "\n", + "> 💡 **Goal:** demonstrate a full *discover → merge → preview* loop that you can\n", + "> fork for any multi-source cohort, then extend with deep-learning\n", + "> segmentation, MC-2DP dashboards, or radiogenomic hypothesis testing.\n" + ] + }, + { + "cell_type": "markdown", + "id": "4d87b798-f486-42f0-92ff-9038a32ed745", + "metadata": { + "tags": [] + }, + "source": [ + "### Notebook goals \n", + "1. **Identify** the 32 patients that appear in **both** \n", + " * VPODC (omics + clinical) \n", + " * TCIA (imaging) \n", + "2. **Blend metadata** into an analysis-ready table \n", + "3. **Describe** cohort demographics & disease attributes \n", + "4. **Preview**: \n", + " * raw DICOM slices (CT/MR) \n", + " * a toy segmentation mask overlay \n", + "\n", + "---\n", + "\n", + "🏷 **Data Sources**\n", + "\n", + "| Commons | Modalities | Access |\n", + "|---------|------------|--------|\n", + "| VPODC | VCF files, WXS/WGS BAM, H&E slides, clinical JSON | Open / Controlled |\n", + "| TCIA | CT · MR · PET · MG (DICOM) | Open |\n" + ] + }, + { + "cell_type": "markdown", + "id": "48eaf2d8-e029-49d6-aa2c-3509acbfca09", + "metadata": {}, + "source": [ + "### ⚙️ Environment setup & imports " + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "8183107d-b9f6-47f4-bf4d-25a90eb60a1c", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "!pip install tcia_utils gen3 pandas requests tqdm pydicom matplotlib > /dev/null 2>&1\n", + "from tqdm import tqdm\n", + "import json, random, re, os, zipfile, io, requests, pydicom, pandas as pd, matplotlib.pyplot as plt\n", + "plt.rcParams['figure.dpi'] = 150 \n", + "from pathlib import Path\n", + "import numpy as np\n", + "from scipy.ndimage import gaussian_filter" + ] + }, + { + "cell_type": "markdown", + "id": "0a4bfe7d-b5ff-443c-b856-60747ece9a17", + "metadata": {}, + "source": [ + "### 🔗 Cohort-construction logic & data harvest \n", + "\n", + "This code block does the heavy lifting that underpins the whole notebook:\n", + "\n", + "1. **Query TCIA** \n", + " * Pull the full patient roster (`getPatient`) and all imaging-series\n", + " metadata (`getSeries`) for the *VAREPOP-APOLLO* collection. \n", + " * Result: **32 TCIA patient IDs** (`AP-xxxx` format).\n", + "\n", + "2. **Crawl VPODC metadata (MDS)** \n", + " * Iterate through every metadata record (max 5 000). \n", + " * Extract **any** field that can hold a TCIA-style ID: \n", + " `apollo_id`, `data_type[].file_data_source_id`, \n", + " `data_source_ids[].id_value`. \n", + " * Simultaneously capture each matching file’s unique identifier\n", + " and basic attributes (data type, source).\n", + "\n", + "3. **Intersect the ID sets** \n", + " * `TCIA ∩ VPODC → 32 shared patients` (assertion guard). \n", + " * Build two in-memory DataFrames: \n", + " * `imaging_df` – one row per DICOM series (TCIA) \n", + " * `omics_df` – one row per omics file (VPODC)\n", + "\n", + "4. **Aggregate & merge** \n", + " * `groupby` each DataFrame to simple counts: \n", + " `n_series`, `n_files`. \n", + " * Inner-join on `patient_id` to produce **`summary`**.\n", + "\n", + "5. **Persist** \n", + " * Write `shared_cohort_summary.csv` — a compact, analysis-ready table\n", + " used by subsequent visualisation cells.\n", + "\n", + "\n", + "Feel free to adjust the `limit` parameter if the VPODC index grows in the\n", + "future.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "fdda8645-dcb2-4359-94bf-509bf8b3ef6a", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "▶ TCIA …\n", + "✓ TCIA patients: 32\n", + "▶ VPODC …\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "VPODC metadata: 100%|██████████| 2000/2000 [01:24<00:00, 23.71it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✓ VPODC AP IDs: 202\n", + "★ Shared cohort size: 32\n", + "✓ Imaging series rows: 1131\n", + "✓ Omics file rows : 1173\n", + "✔ Saved → shared_cohort_summary.csv\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "\"\"\"\n", + "Build a 32-patient cohort shared between:\n", + " • TCIA collection VAREPOP-APOLLO\n", + " • VPODC (metadata-only Gen3 instance)\n", + "\n", + "Outputs: shared_cohort_summary.csv (n_series, n_files per patient)\n", + "\"\"\"\n", + "\n", + "# ------------------------------------------------------------\n", + "TCIA_BASE = \"https://services.cancerimagingarchive.net/nbia-api/services/v1\"\n", + "COLLECTION = \"VAREPOP-APOLLO\"\n", + "VPODC_BASE = \"https://externalgen3.prometheus.data-commons.org\"\n", + "\n", + "AP_RX = re.compile(r\"AP-\\w{3,6}\", re.IGNORECASE) # e.g. AP-7DC5 AP-TBFQ\n", + "\n", + "# ------------------------------------------------------------\n", + "def tcia(endpoint: str):\n", + " r = requests.get(f\"{TCIA_BASE}/{endpoint}?Collection={COLLECTION}\", timeout=30)\n", + " r.raise_for_status()\n", + " return r.json()\n", + "\n", + "print(\"▶ TCIA …\")\n", + "tcia_patients = tcia(\"getPatient\")\n", + "tcia_series = tcia(\"getSeries\")\n", + "\n", + "tcia_ids = sorted({p[\"PatientId\"].strip().upper() for p in tcia_patients})\n", + "print(f\"✓ TCIA patients: {len(tcia_ids)}\")\n", + "\n", + "# ------------------------------------------------------------\n", + "def extract_ap_ids(meta: dict) -> list[str]:\n", + " \"\"\"\n", + " Return every AP-xxxx style ID found inside a single VPODC metadata JSON.\n", + " Looks at gen3_discovery.* and top-level.*\n", + " \"\"\"\n", + " ids = set()\n", + "\n", + " buckets = [meta]\n", + " if \"gen3_discovery\" in meta:\n", + " buckets.append(meta[\"gen3_discovery\"])\n", + "\n", + " for b in buckets:\n", + " # 1) direct apollo_id (string)\n", + " ap = b.get(\"apollo_id\")\n", + " if isinstance(ap, str) and AP_RX.match(ap):\n", + " ids.add(ap.upper())\n", + "\n", + " # 2) data_type list\n", + " for dt in b.get(\"data_type\", []):\n", + " fid = dt.get(\"file_data_source_id\", \"\")\n", + " if isinstance(fid, str) and AP_RX.match(fid):\n", + " ids.add(fid.upper())\n", + "\n", + " # 3) data_source_ids list\n", + " for d in b.get(\"data_source_ids\", []):\n", + " val = d.get(\"id_value\", \"\")\n", + " if isinstance(val, str) and AP_RX.match(val):\n", + " ids.add(val.upper())\n", + "\n", + " return list(ids)\n", + "\n", + "def scan_vpodc(limit=5000):\n", + " \"\"\"\n", + " Walk metadata index, pull AP IDs and file rows concurrently.\n", + " Returns: (patient_id list, omics_row list)\n", + " \"\"\"\n", + " idx = requests.get(f\"{VPODC_BASE}/mds/metadata?limit={limit}\", timeout=60).json()\n", + " patient_ids, omics_rows = set(), []\n", + "\n", + " for mid in tqdm(idx, desc=\"VPODC metadata\"):\n", + " js = requests.get(f\"{VPODC_BASE}/mds/metadata/{mid}\", timeout=30)\n", + " if not js.ok:\n", + " continue\n", + " meta = js.json()\n", + "\n", + " # ---- collect IDs ----\n", + " ap_ids = extract_ap_ids(meta)\n", + " patient_ids.update(ap_ids)\n", + "\n", + " # ---- file rows for any AP IDs we just saw ----\n", + " for pid in ap_ids:\n", + " for dt in meta.get(\"gen3_discovery\", {}).get(\"data_type\", []):\n", + " if dt.get(\"file_data_source_id\", \"\").upper() == pid:\n", + " omics_rows.append(\n", + " {\n", + " \"patient_id\": pid,\n", + " \"file_uid\": dt.get(\"file_unique_identifier\"),\n", + " \"data_type\": dt.get(\"file_data_type\"),\n", + " \"source\": dt.get(\"file_data_source\"),\n", + " }\n", + " )\n", + "\n", + " return sorted(patient_ids), omics_rows\n", + "\n", + "print(\"▶ VPODC …\")\n", + "vpodc_ids, omics_rows = scan_vpodc()\n", + "print(f\"✓ VPODC AP IDs: {len(vpodc_ids)}\")\n", + "\n", + "# ------------------------------------------------------------\n", + "shared_ids = sorted(set(tcia_ids) & set(vpodc_ids))\n", + "print(f\"★ Shared cohort size: {len(shared_ids)}\")\n", + "assert len(shared_ids) == 32, \"Did not find exactly 32 shared patients\"\n", + "\n", + "# ---- imaging rows ----\n", + "def imaging_rows(series_json, cohort):\n", + " rows = []\n", + " for s in series_json:\n", + " pid = (s.get(\"PatientID\") or s.get(\"PatientId\", \"\")).strip().upper()\n", + " if pid in cohort:\n", + " rows.append(\n", + " {\n", + " \"patient_id\": pid,\n", + " \"series_uid\": s[\"SeriesInstanceUID\"],\n", + " \"study_uid\": s[\"StudyInstanceUID\"],\n", + " \"modality\": s.get(\"Modality\"),\n", + " }\n", + " )\n", + " return pd.DataFrame(rows)\n", + "\n", + "imaging_df = imaging_rows(tcia_series, set(shared_ids))\n", + "omics_df = pd.DataFrame([r for r in omics_rows if r[\"patient_id\"] in shared_ids])\n", + "\n", + "print(f\"✓ Imaging series rows: {len(imaging_df)}\")\n", + "print(f\"✓ Omics file rows : {len(omics_df)}\")\n", + "\n", + "# ------------------------------------------------------------\n", + "summary = (\n", + " imaging_df.groupby(\"patient_id\").size().to_frame(\"n_series\")\n", + " .join(omics_df.groupby(\"patient_id\").size().to_frame(\"n_files\"))\n", + " .fillna(0).astype(int)\n", + " .sort_values([\"n_series\", \"n_files\"], ascending=False)\n", + ")\n", + "\n", + "summary.to_csv(\"shared_cohort_summary.csv\")\n", + "print(\"✔ Saved → shared_cohort_summary.csv\")\n" + ] + }, + { + "cell_type": "markdown", + "id": "7af6281b-938e-459a-bd61-74b826cd5e52", + "metadata": {}, + "source": [ + "### 📑 Build merged metadata table \n", + "\n", + "Here we assemble a **master dataframe**—`summary`—that unifies key counts\n", + "from the two repositories for every cross-linked patient:\n", + "\n", + "| Column | Meaning | Source |\n", + "|-------------|-------------------------------------------------------|--------|\n", + "| `patient_id`| Shared AP-code that uniquely identifies each subject | TCIA & VPODC |\n", + "| `n_series` | Total number of DICOM *imaging series* available | TCIA |\n", + "| `n_files` | Total number of *omics files* (VCF / BAM / etc.) | VPODC |\n", + "\n", + "**Steps**\n", + "\n", + "1. **TCIA series aggregation** – count all DICOM series per patient \n", + "2. **VPODC file aggregation** – count all omics files per patient \n", + "3. **Inner-join** on `patient_id` so only the 32 shared subjects remain \n", + "4. **Sort** by `n_series` (and `n_files`) to surface the busiest cases\n", + "\n", + "The resulting `summary` dataframe underpins the comparative plots and\n", + "down-stream analyses that follow.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "cebe7e12-b5e3-466a-9e1c-b80c69c08e63", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
n_seriesn_files
patient_id
AP-AMT49494
AP-V7RJ8787
AP-Z5MF8383
AP-FMPL6666
AP-DCLM6464
AP-DKMN6363
AP-7DC55858
AP-GNDK5252
AP-E87U5050
AP-E7LJ4848
AP-EXQB4545
AP-ZUCQ4444
AP-RMFZ4343
AP-LCEW4242
AP-YGJE4141
AP-CUHF4040
AP-R45K3535
AP-X6NA3535
AP-78LL2323
AP-R39K2020
AP-ZPHN1919
AP-GDKX1616
AP-ZVBM1111
AP-95DK814
AP-6H6G713
AP-DRVN713
AP-97PG612
AP-9GTR612
AP-CL9I511
AP-GUEM55
AP-6M60410
AP-JS5B44
\n", + "
" + ], + "text/plain": [ + " n_series n_files\n", + "patient_id \n", + "AP-AMT4 94 94\n", + "AP-V7RJ 87 87\n", + "AP-Z5MF 83 83\n", + "AP-FMPL 66 66\n", + "AP-DCLM 64 64\n", + "AP-DKMN 63 63\n", + "AP-7DC5 58 58\n", + "AP-GNDK 52 52\n", + "AP-E87U 50 50\n", + "AP-E7LJ 48 48\n", + "AP-EXQB 45 45\n", + "AP-ZUCQ 44 44\n", + "AP-RMFZ 43 43\n", + "AP-LCEW 42 42\n", + "AP-YGJE 41 41\n", + "AP-CUHF 40 40\n", + "AP-R45K 35 35\n", + "AP-X6NA 35 35\n", + "AP-78LL 23 23\n", + "AP-R39K 20 20\n", + "AP-ZPHN 19 19\n", + "AP-GDKX 16 16\n", + "AP-ZVBM 11 11\n", + "AP-95DK 8 14\n", + "AP-6H6G 7 13\n", + "AP-DRVN 7 13\n", + "AP-97PG 6 12\n", + "AP-9GTR 6 12\n", + "AP-CL9I 5 11\n", + "AP-GUEM 5 5\n", + "AP-6M60 4 10\n", + "AP-JS5B 4 4" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "summary" + ] + }, + { + "cell_type": "markdown", + "id": "a55ac18d-c6a0-4a47-9ae7-a9c193ea9bb8", + "metadata": {}, + "source": [ + "### 📈 Imaging vs Omics workload per patient \n", + "\n", + "The bar-chart below puts the two data streams side-by-side for each of the 32 shared patients:\n", + "\n", + "* **Blue** — number of DICOM imaging series pulled from TCIA \n", + "* **Orange** — number of omics files (VCF / BAM / etc.) referenced in VPODC \n", + "\n", + "This quick visual confirms workload symmetry: for most patients the imaging and omics\n", + "record counts are identical (stacked bars reach the same height), while a few\n", + "patients have extra omics files pending QC.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "e25f4f98-4846-47f9-8ab4-c0d01234fb6e", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ax = summary[['n_series', 'n_files']].plot(\n", + " kind='bar',\n", + " figsize=(14, 7),\n", + " width=0.85,\n", + " alpha=0.8,\n", + ")\n", + "ax.set_ylabel(\"Count\")\n", + "ax.set_title(\"Imaging series vs omics files per patient\", size=15)\n", + "plt.xticks(rotation=70, ha='right')\n", + "plt.tight_layout()" + ] + }, + { + "cell_type": "markdown", + "id": "dca934ef-b7c0-47bf-bbc5-7f141c464d7d", + "metadata": {}, + "source": [ + "### 🟦🟧 Proportional view — imaging vs omics share per patient \n", + "\n", + "The stacked bar chart below normalises each patient’s record counts to **100 %**, so you\n", + "see the relative split rather than absolute numbers:\n", + "\n", + "* **Blue segment** → proportion of DICOM imaging series \n", + "* **Orange segment** → proportion of omics files \n", + "\n", + "Because most bars are evenly divided (50 % / 50 %), the cohort is\n", + "well-balanced — every imaging series has a matching omics file. \n", + "Patients where the orange slice dominates indicate additional molecular\n", + "assays without a corresponding imaging study, and vice-versa.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "159ba8dc-6dea-424f-9633-6f08a9ac2dac", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "stack = summary[['n_series','n_files']].div(\n", + " summary[['n_series','n_files']].sum(axis=1), axis=0)\n", + "\n", + "stack.plot(kind='bar', stacked=True, figsize=(14,7), colormap='tab20c')\n", + "plt.ylabel(\"Fraction of total\")\n", + "plt.title(\"Relative imaging / omics contribution per patient\", size=15)\n", + "plt.xticks(rotation=70, ha='right')\n", + "plt.legend(['Series','Files'])\n", + "plt.tight_layout()" + ] + }, + { + "cell_type": "markdown", + "id": "121208d3-53b4-48a4-bfd2-44e808ebacc6", + "metadata": {}, + "source": [ + "### 🖼 Interactive imaging preview — randomly-sampled patient \n", + "\n", + "To give a quick visual sense of the radiology data, we:\n", + "\n", + "1. **Randomly choose** one of the 32 cross-linked patients \n", + "2. **Query TCIA** for all imaging series tied to that patient \n", + "3. **Download a single series** (DICOM zip) and extract the first slice \n", + "4. **Render** the slice inline, showing modality and SeriesInstanceUID\n", + "\n", + "Feel free to re-run this cell—each execution selects a new patient and\n", + "series, offering a different anatomical plane or imaging modality every time.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "3577c265-b57d-4b0d-8984-b1119cf73d70", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Collecting pydicom\n", + " Downloading pydicom-2.4.4-py3-none-any.whl (1.8 MB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.8/1.8 MB\u001b[0m \u001b[31m46.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m\n", + "\u001b[?25hRequirement already satisfied: matplotlib in /opt/conda/lib/python3.9/site-packages (3.9.4)\n", + "Requirement already satisfied: pillow>=8 in /opt/conda/lib/python3.9/site-packages (from matplotlib) (11.2.1)\n", + "Requirement already satisfied: numpy>=1.23 in /opt/conda/lib/python3.9/site-packages (from matplotlib) (1.24.2)\n", + "Requirement already satisfied: fonttools>=4.22.0 in /opt/conda/lib/python3.9/site-packages (from matplotlib) (4.58.4)\n", + "Requirement already satisfied: pyparsing>=2.3.1 in /opt/conda/lib/python3.9/site-packages (from matplotlib) (3.2.3)\n", + "Requirement already satisfied: packaging>=20.0 in /opt/conda/lib/python3.9/site-packages (from matplotlib) (23.1)\n", + "Requirement already satisfied: cycler>=0.10 in /opt/conda/lib/python3.9/site-packages (from matplotlib) (0.12.1)\n", + "Requirement already satisfied: python-dateutil>=2.7 in /opt/conda/lib/python3.9/site-packages (from matplotlib) (2.8.2)\n", + "Requirement already satisfied: contourpy>=1.0.1 in /opt/conda/lib/python3.9/site-packages (from matplotlib) (1.3.0)\n", + "Requirement already satisfied: kiwisolver>=1.3.1 in /opt/conda/lib/python3.9/site-packages (from matplotlib) (1.4.7)\n", + "Requirement already satisfied: importlib-resources>=3.2.0 in /opt/conda/lib/python3.9/site-packages (from matplotlib) (5.12.0)\n", + "Requirement already satisfied: zipp>=3.1.0 in /opt/conda/lib/python3.9/site-packages (from importlib-resources>=3.2.0->matplotlib) (3.15.0)\n", + "Requirement already satisfied: six>=1.5 in /opt/conda/lib/python3.9/site-packages (from python-dateutil>=2.7->matplotlib) (1.16.0)\n", + "Installing collected packages: pydicom\n", + "Successfully installed pydicom-2.4.4\n", + "Patient has 94 series\n" + ] + } + ], + "source": [ + "PATIENT = \"AP-AMT4\" # <-- change to any ID in shared_ids\n", + "OUT_DIR = Path(\"downloads\").joinpath(PATIENT).resolve()\n", + "OUT_DIR.mkdir(parents=True, exist_ok=True)\n", + "\n", + "# Series + omics dataframes from the previous run\n", + "# (re-read them or keep them in memory)\n", + "imaging_df = pd.read_csv(\"shared_cohort_summary.csv\", index_col=\"patient_id\")\n", + "print(\"Patient has\", imaging_df.loc[PATIENT, \"n_series\"], \"series\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "8371bacf-6230-4edc-bfd4-2fcae29e7ea4", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Downloading series: 1.3.6.1.4.1.14519.5.2.1.259728963592145893154576060489913213800\n", + "✓ extracted to /home/jovyan/pd/downloads/AP-AMT4\n" + ] + } + ], + "source": [ + "TCIA_BASE = \"https://services.cancerimagingarchive.net/nbia-api/services/v1\"\n", + "\n", + "# 2a. Get all series metadata for this patient\n", + "series_url = f\"{TCIA_BASE}/getSeries?Collection=VAREPOP-APOLLO&PatientID={PATIENT}\"\n", + "series_meta = requests.get(series_url).json()\n", + "\n", + "# 2b. Pick the first (or random) series\n", + "chosen = random.choice(series_meta)\n", + "series_uid = chosen[\"SeriesInstanceUID\"]\n", + "print(\"Downloading series:\", series_uid)\n", + "\n", + "# 2c. Request the zip\n", + "image_url = f\"{TCIA_BASE}/getImage?SeriesInstanceUID={series_uid}\"\n", + "zip_bytes = requests.get(image_url).content\n", + "\n", + "# 2d. Extract to folder\n", + "with zipfile.ZipFile(io.BytesIO(zip_bytes)) as zf:\n", + " zf.extractall(OUT_DIR)\n", + "print(\"✓ extracted to\", OUT_DIR)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "887d1eec-52b0-400c-8096-177b2e0b78b5", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dicom_files = sorted(OUT_DIR.glob(\"*.dcm\"))\n", + "ds = pydicom.dcmread(dicom_files[0])\n", + "\n", + "plt.imshow(ds.pixel_array, cmap=\"gray\")\n", + "plt.title(f\"{PATIENT} | {series_uid} | {ds.Modality}\")\n", + "plt.axis(\"off\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "cac9108c-f555-44c6-8923-72dc9a816b2a", + "metadata": {}, + "source": [ + "### ✂️ Illustrative segmentation example — intensity-threshold mask \n", + "\n", + "Below we demonstrate a **minimal, deterministic pipeline** that generates a\n", + "binary segmentation mask directly from the raw DICOM slice:\n", + "\n", + "1. **Pre-processing** – apply a light Gaussian blur to suppress noise \n", + "2. **Adaptive threshold** – compute µ + σ of the slice and flag voxels\n", + " whose intensity exceeds that value \n", + "3. **Overlay** – render the original image with the mask contour in red\n", + "\n", + "This threshold-based approach is *not* intended for clinical inference; it\n", + "simply shows how anatomical or lesion-like regions can be isolated and\n", + "visualised in-line. The same scaffold can be replaced by a fully trained\n", + "deep-learning model (e.g. nnU-Net) without changing the display code." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "f9cf1415-030f-41b9-9bfc-79a09b85c7d9", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# convert to float for maths\n", + "img = ds.pixel_array.astype(float)\n", + "\n", + "# denoise a bit, then threshold at μ + σ\n", + "blurred = gaussian_filter(img, sigma=1)\n", + "thr = blurred.mean() + blurred.std()\n", + "mask = blurred > thr\n", + "\n", + "# visualise\n", + "plt.figure(figsize=(6, 6))\n", + "plt.imshow(img, cmap=\"gray\")\n", + "plt.contour(mask, colors=\"red\", linewidths=0.6)\n", + "plt.title(\"Red = simple μ+σ threshold mask\")\n", + "plt.axis(\"off\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "b1da05cd-8154-4a1a-9bac-79a6598502b5", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 🎯 Key take-aways \n", + "\n", + "| Milestone | Outcome |\n", + "|-----------|---------|\n", + "| **Patient reconciliation** | Identified **32** subjects present in both VPODC and TCIA (collection *VAREPOP-APOLLO*). |\n", + "| **Multi-omics binding** | Produced a harmonised table linking *1 131* imaging series with *1 173* molecular files. |\n", + "| **Visual sanity-check** | Verified counts with bar charts and inspected raw DICOM slices alongside an illustrative intensity-mask overlay. |\n", + "\n", + "### 📌 Deliverables \n", + "* `summary` dataframe  →  **`shared_cohort_summary.csv`** \n", + "   • Columns: `patient_id`, `n_series`, `n_files` \n", + "* Notebook code cells that fetch, merge, and preview the data—fully reproducible with public endpoints only.\n", + "\n", + "---\n", + "\n", + "## 🚀 Where to go next\n", + "\n", + "1. **Enterprise analytics (MC-2DP)** \n", + " Upload `shared_cohort_summary.csv` plus the detailed per-file tables and build interactive dashboards: survival curves, mutation heat-maps, imaging volume metrics.\n", + "\n", + "2. **Production-grade segmentation** \n", + " Swap the illustrative threshold mask for a deep-learning pipeline (e.g. **MONAI**, **nnU-Net**). \n", + " * Auto-segment tumours * Quantify radiomic features * Correlate with mutational load.\n", + "\n", + "3. **Radiogenomic integrative plots** \n", + " * Volcano / Manhattan plots of variant burden vs. CT-derived lesion volume \n", + " * Heat-map linking copy-number alterations to PET SUVmax \n", + " * Longitudinal spider plots if follow-up imaging exists.\n", + "\n", + "4. **Quality control & governance** \n", + " * Programmatic checks for missing modalities or incomplete metadata \n", + " * Provenance tracking—hash every DICOM / VCF to guarantee downstream auditability.\n", + "\n", + "With these extensions the notebook evolves from a showcase into a\n", + "production-ready radiogenomic analysis scaffold.\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From aaf5e45f32367288ee29c9b6c96f5ba2db9b5adb Mon Sep 17 00:00:00 2001 From: danbiber Date: Thu, 17 Jul 2025 14:02:15 -0400 Subject: [PATCH 004/108] adding citation to metabolomics nb --- .secrets.baseline | 46 +-- .../metabolomics_notebook.ipynb | 283 ++++++++++++++++-- 2 files changed, 286 insertions(+), 43 deletions(-) diff --git a/.secrets.baseline b/.secrets.baseline index 11980104..f7551046 100644 --- a/.secrets.baseline +++ b/.secrets.baseline @@ -280,79 +280,79 @@ { "type": "Base64 High Entropy String", "filename": "jupyter-prometheus/combined_demos/metabolomics_notebook.ipynb", - "hashed_secret": "7cb4b3597ca086dcc5e034dfd7d4c755f8d46bb1", + "hashed_secret": "1ac5290dad9ec92ca58cdf44e861791898ec212e", "is_verified": false, - "line_number": 525 + "line_number": 607 }, { "type": "Base64 High Entropy String", "filename": "jupyter-prometheus/combined_demos/metabolomics_notebook.ipynb", - "hashed_secret": "da1f92f747b04764fa2e37e48358ee5725b8e5a9", + "hashed_secret": "5e319c7da8475a030934b367ecaec4c801373e03", "is_verified": false, - "line_number": 535 + "line_number": 633 }, { "type": "Base64 High Entropy String", "filename": "jupyter-prometheus/combined_demos/metabolomics_notebook.ipynb", - "hashed_secret": "8e1ab2b47f4911f271399bde9ed1a151a8ded481", + "hashed_secret": "31ac5bdcc9930f4ffbb2354809029c65eef6f98a", "is_verified": false, - "line_number": 545 + "line_number": 659 }, { "type": "Base64 High Entropy String", "filename": "jupyter-prometheus/combined_demos/metabolomics_notebook.ipynb", - "hashed_secret": "6ca47d3cda6fd7667163cc644d1dbf4b92ad07c9", + "hashed_secret": "931176f48e7752b42f750314275662bba4042258", "is_verified": false, - "line_number": 555 + "line_number": 685 }, { "type": "Base64 High Entropy String", "filename": "jupyter-prometheus/combined_demos/metabolomics_notebook.ipynb", - "hashed_secret": "edb14e4918239549f34209359953a9c15801c572", + "hashed_secret": "effff7e513cb79e9fac629d4cc475a4a03ed5220", "is_verified": false, - "line_number": 565 + "line_number": 711 }, { "type": "Base64 High Entropy String", "filename": "jupyter-prometheus/combined_demos/metabolomics_notebook.ipynb", - "hashed_secret": "076d75ede853dde6c50d2cb2ff8266cbfe9ebdb9", + "hashed_secret": "73a2ae09a6c88e41069755249cc2c184a87bd3c1", "is_verified": false, - "line_number": 575 + "line_number": 737 }, { "type": "Base64 High Entropy String", "filename": "jupyter-prometheus/combined_demos/metabolomics_notebook.ipynb", - "hashed_secret": "501ddd48b1e1a6c65fa1ed90471dca967536e632", + "hashed_secret": "a02d4ef06ae22d106caeb59669a8667f8bf99fbb", "is_verified": false, - "line_number": 662 + "line_number": 847 }, { "type": "Base64 High Entropy String", "filename": "jupyter-prometheus/combined_demos/metabolomics_notebook.ipynb", - "hashed_secret": "2ce0cd7f3d12f6ca95f842fffcd62638017b83c7", + "hashed_secret": "f6dfaea618efbdcbdb0f91de96fb28c5602370c0", "is_verified": false, - "line_number": 760 + "line_number": 945 }, { "type": "Base64 High Entropy String", "filename": "jupyter-prometheus/combined_demos/metabolomics_notebook.ipynb", - "hashed_secret": "894d71ab4b433faa9f4d5b9bf5464ceb61836f44", + "hashed_secret": "0b0f15015bc5764ca59eec1481a0e6693255f297", "is_verified": false, - "line_number": 851 + "line_number": 1050 }, { "type": "Base64 High Entropy String", "filename": "jupyter-prometheus/combined_demos/metabolomics_notebook.ipynb", - "hashed_secret": "45c6685c0c853360ed8d8e95b35aa9b4ae3c5660", + "hashed_secret": "e3c0dc1b9ed2a88909b79c2b706f6dd5c4a7f4b2", "is_verified": false, - "line_number": 861 + "line_number": 1090 }, { "type": "Base64 High Entropy String", "filename": "jupyter-prometheus/combined_demos/metabolomics_notebook.ipynb", - "hashed_secret": "4c0fcd70d66e000f59cf6fdb1e1663ac4dee7365", + "hashed_secret": "c4d0448743a94618c0cdd999160094cf9b4da22d", "is_verified": false, - "line_number": 871 + "line_number": 1114 } ], "vlmd-submission-tools/tests/test_common_utils.py": [ @@ -434,5 +434,5 @@ } ] }, - "generated_at": "2025-07-10T22:14:08Z" + "generated_at": "2025-07-17T18:00:42Z" } diff --git a/jupyter-prometheus/combined_demos/metabolomics_notebook.ipynb b/jupyter-prometheus/combined_demos/metabolomics_notebook.ipynb index c0ffbb84..bfcabaf5 100644 --- a/jupyter-prometheus/combined_demos/metabolomics_notebook.ipynb +++ b/jupyter-prometheus/combined_demos/metabolomics_notebook.ipynb @@ -13,7 +13,7 @@ "\n", "---\n", "\n", - "### 📁 Study Overview\n", + "## 📁 Study Overview\n", "\n", "- **Study ID**: `ST003847` \n", "- **Analysis ID**: `AN006322` \n", @@ -22,6 +22,12 @@ "- **Submission Date**: `April 7, 2025`\n", "\n", "---\n", + "\n", + "## 📚 Citation\n", + " This data is available at the NIH Common Fund’s National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org where it has been assigned Project ID `PR002405` and Study ID `ST003847`. The data can be accessed directly via it’s Project DOI: `10.21228/M8RV70`. This work is supported by Metabolomics Workbench/National Metabolomics Data Repository (NMDR) (grant# U2C-DK119886), Common Fund Data Ecosystem (CFDE) (grant# 3OT2OD030544) and Metabolomics Consortium Coordinating Center (M3C) (grant# 1U2C-DK119889). This project and study can be accessed directly at the following URL: https://doi.org/10.21228/M8RV70\n", + "\n", + "---\n", + "\n", "## 🧪 Project Details\n", "\n", "- **Project Title**: \n", @@ -34,6 +40,7 @@ "\n", "---\n", "\n", + "\n", "## 🧾 Study Summary (Key Insights)\n", "\n", "- Pancreatic ductal adenocarcinoma (PDAC) is a lethal disease with poor survival rates.\n", @@ -82,6 +89,8 @@ "name": "stdout", "output_type": "stream", "text": [ + "Intel MKL WARNING: Support of Intel(R) Streaming SIMD Extensions 4.2 (Intel(R) SSE4.2) enabled only processors has been deprecated. Intel oneAPI Math Kernel Library 2025.0 will require Intel(R) Advanced Vector Extensions (Intel(R) AVX) instructions.\n", + "Intel MKL WARNING: Support of Intel(R) Streaming SIMD Extensions 4.2 (Intel(R) SSE4.2) enabled only processors has been deprecated. Intel oneAPI Math Kernel Library 2025.0 will require Intel(R) Advanced Vector Extensions (Intel(R) AVX) instructions.\n", "📥 Downloading study-level data for ST003847...\n", "\n", "⬇️ summary ...\n", @@ -413,6 +422,63 @@ "outputs": [ { "data": { + "application/vnd.microsoft.datawrangler.viewer.v0+json": { + "columns": [ + { + "name": "index", + "rawType": "int64", + "type": "integer" + }, + { + "name": "Metabolite", + "rawType": "object", + "type": "string" + }, + { + "name": "p-value", + "rawType": "float64", + "type": "float" + }, + { + "name": "log2FC", + "rawType": "float64", + "type": "float" + }, + { + "name": "-log10(p-value)", + "rawType": "float64", + "type": "float" + }, + { + "name": "Significant", + "rawType": "bool", + "type": "boolean" + } + ], + "ref": "e8f17a96-a7bb-45b2-842b-ea36c752f9af", + "rows": [ + [ + "0", + "7-Dehydrocholesterol", + "0.0019965431764393743", + "-3.185117452784087", + "2.699721293490373", + "True" + ], + [ + "1", + "7-Dehydrodesmosterol", + "0.7377506836646052", + "-0.27768794404553987", + "0.13209037937239068", + "False" + ] + ], + "shape": { + "columns": 5, + "rows": 2 + } + }, "text/html": [ "
\n", "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
g1.namep1.uniprot_idp2.uniprot_idg2.nameg2.druggability_tier
0IL23RQ5VWK5P04141CSF2Tier 1
1IL23RQ5VWK5P01562IFNA1Tier 1
2IL23RQ5VWK5P01579IFNGTier 1
3IL23RQ5VWK5P22301IL10Tier 1
4IL23RQ5VWK5P29460IL12BTier 1
5IL23RQ5VWK5P42701IL12RB1Tier 1
6IL23RQ5VWK5P35225IL13Tier 1
7IL23RQ5VWK5P40933IL15Tier 1
8IL23RQ5VWK5Q16552IL17ATier 1
9IL23RQ5VWK5Q96PD4IL17FTier 1
10IL23RQ5VWK5P60568IL2Tier 1
11IL23RQ5VWK5Q9GZX6IL22Tier 1
12IL23RQ5VWK5Q9NPF7IL23ATier 1
13IL23RQ5VWK5P05112IL4Tier 1
14IL23RQ5VWK5P05113IL5Tier 1
15IL23RQ5VWK5P05231IL6Tier 1
16IL23RQ5VWK5P15248IL9Tier 1
17IL23RQ5VWK5P23458JAK1Tier 1
18IL23RQ5VWK5O60674JAK2Tier 1
19IL23RQ5VWK5P19838NFKB1Tier 1
20IL23RQ5VWK5P42336PIK3CATier 1
21IL23RQ5VWK5P51449RORCTier 1
22IL23RQ5VWK5P40763STAT3Tier 1
23IL23RQ5VWK5Q969D9TSLPTier 1
24IL23RQ5VWK5P29597TYK2Tier 1
25IL23RQ5VWK5P51684CCR6Tier 2
26IL23RQ5VWK5P25963NFKBIATier 2
27IL23RQ5VWK5Q9HC29NOD2Tier 2
28IL23RQ5VWK5P27986PIK3R1Tier 2
29IL23RQ5VWK5Q04206RELATier 2
30IL23RQ5VWK5P42224STAT1Tier 2
31IL23RQ5VWK5P42229STAT5ATier 2
32IL23RQ5VWK5P42226STAT6Tier 2
33IL23RQ5VWK5P09919CSF3Tier 3A
34IL23RQ5VWK5Q9NZ08ERAP1Tier 3A
35IL23RQ5VWK5P29459IL12ATier 3A
36IL23RQ5VWK5Q8TAD2IL17DTier 3A
37IL23RQ5VWK5Q9UHD0IL19Tier 3A
38IL23RQ5VWK5Q9HBE4IL21Tier 3A
39IL23RQ5VWK5Q13007IL24Tier 3A
40IL23RQ5VWK5P13232IL7Tier 3A
41IL23RQ5VWK5O00421CCRL2Tier 3B
\n", - "
" - ], - "text/plain": [ - " g1.name p1.uniprot_id p2.uniprot_id g2.name g2.druggability_tier\n", - "0 IL23R Q5VWK5 P04141 CSF2 Tier 1\n", - "1 IL23R Q5VWK5 P01562 IFNA1 Tier 1\n", - "2 IL23R Q5VWK5 P01579 IFNG Tier 1\n", - "3 IL23R Q5VWK5 P22301 IL10 Tier 1\n", - "4 IL23R Q5VWK5 P29460 IL12B Tier 1\n", - "5 IL23R Q5VWK5 P42701 IL12RB1 Tier 1\n", - "6 IL23R Q5VWK5 P35225 IL13 Tier 1\n", - "7 IL23R Q5VWK5 P40933 IL15 Tier 1\n", - "8 IL23R Q5VWK5 Q16552 IL17A Tier 1\n", - "9 IL23R Q5VWK5 Q96PD4 IL17F Tier 1\n", - "10 IL23R Q5VWK5 P60568 IL2 Tier 1\n", - "11 IL23R Q5VWK5 Q9GZX6 IL22 Tier 1\n", - "12 IL23R Q5VWK5 Q9NPF7 IL23A Tier 1\n", - "13 IL23R Q5VWK5 P05112 IL4 Tier 1\n", - "14 IL23R Q5VWK5 P05113 IL5 Tier 1\n", - "15 IL23R Q5VWK5 P05231 IL6 Tier 1\n", - "16 IL23R Q5VWK5 P15248 IL9 Tier 1\n", - "17 IL23R Q5VWK5 P23458 JAK1 Tier 1\n", - "18 IL23R Q5VWK5 O60674 JAK2 Tier 1\n", - "19 IL23R Q5VWK5 P19838 NFKB1 Tier 1\n", - "20 IL23R Q5VWK5 P42336 PIK3CA Tier 1\n", - "21 IL23R Q5VWK5 P51449 RORC Tier 1\n", - "22 IL23R Q5VWK5 P40763 STAT3 Tier 1\n", - "23 IL23R Q5VWK5 Q969D9 TSLP Tier 1\n", - "24 IL23R Q5VWK5 P29597 TYK2 Tier 1\n", - "25 IL23R Q5VWK5 P51684 CCR6 Tier 2\n", - "26 IL23R Q5VWK5 P25963 NFKBIA Tier 2\n", - "27 IL23R Q5VWK5 Q9HC29 NOD2 Tier 2\n", - "28 IL23R Q5VWK5 P27986 PIK3R1 Tier 2\n", - "29 IL23R Q5VWK5 Q04206 RELA Tier 2\n", - "30 IL23R Q5VWK5 P42224 STAT1 Tier 2\n", - "31 IL23R Q5VWK5 P42229 STAT5A Tier 2\n", - "32 IL23R Q5VWK5 P42226 STAT6 Tier 2\n", - "33 IL23R Q5VWK5 P09919 CSF3 Tier 3A\n", - "34 IL23R Q5VWK5 Q9NZ08 ERAP1 Tier 3A\n", - "35 IL23R Q5VWK5 P29459 IL12A Tier 3A\n", - "36 IL23R Q5VWK5 Q8TAD2 IL17D Tier 3A\n", - "37 IL23R Q5VWK5 Q9UHD0 IL19 Tier 3A\n", - "38 IL23R Q5VWK5 Q9HBE4 IL21 Tier 3A\n", - "39 IL23R Q5VWK5 Q13007 IL24 Tier 3A\n", - "40 IL23R Q5VWK5 P13232 IL7 Tier 3A\n", - "41 IL23R Q5VWK5 O00421 CCRL2 Tier 3B" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "def get_drug_targets_ppi(gene_name):\n", " endpoint = \"/gene/druggability/ppi\"\n", @@ -544,46 +116,10 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "id": "4b496a27-08f3-47e9-8efe-5c42878e5c35", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['IL23R',\n", - " 'CSF2',\n", - " 'IFNA1',\n", - " 'IFNG',\n", - " 'IL10',\n", - " 'IL12B',\n", - " 'IL12RB1',\n", - " 'IL13',\n", - " 'IL15',\n", - " 'IL17A',\n", - " 'IL17F',\n", - " 'IL2',\n", - " 'IL22',\n", - " 'IL23A',\n", - " 'IL4',\n", - " 'IL5',\n", - " 'IL6',\n", - " 'IL9',\n", - " 'JAK1',\n", - " 'JAK2',\n", - " 'NFKB1',\n", - " 'PIK3CA',\n", - " 'RORC',\n", - " 'STAT3',\n", - " 'TSLP',\n", - " 'TYK2']" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "def get_gene_list(ppi_df, include_primary_gene: bool = True):\n", " if include_primary_gene:\n", @@ -610,644 +146,10 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "id": "78f9a98e-203e-4e44-a985-69baa8a06b0b", "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
pubmed_idgene.namelt.idlt.namelt.typest.predicateliterature_count
0[23131344]IL23RC0021390Inflammatory Bowel Diseases[dsyn]PREDISPOSES1
1[21155887, 17484863]IL23RC0021390Inflammatory Bowel Diseases[dsyn]NEG_ASSOCIATED_WITH2
2[31728561]IL23RC0021390Inflammatory Bowel Diseases[dsyn]CAUSES1
3[21155887, 18383521, 18383363, 25159710, 18341...IL23RC0021390Inflammatory Bowel Diseases[dsyn]ASSOCIATED_WITH21
4[27852544]IL23RC0021390Inflammatory Bowel Diseases[dsyn]AFFECTS1
5[21557945, 19030026]CSF2C0021390Inflammatory Bowel Diseases[dsyn]ASSOCIATED_WITH2
6[17206685]CSF2C0021390Inflammatory Bowel Diseases[dsyn]AFFECTS1
7[23891915]IFNA1C0021390Inflammatory Bowel Diseases[dsyn]TREATS1
8[24975266]IFNA1C0021390Inflammatory Bowel Diseases[dsyn]PREVENTS1
9[20951137, 28174758, 9836081]IFNA1C0021390Inflammatory Bowel Diseases[dsyn]ASSOCIATED_WITH3
10[19519446]IFNGC0021390Inflammatory Bowel Diseases[dsyn]TREATS1
11[3139380]IFNGC0021390Inflammatory Bowel Diseases[dsyn]CAUSES1
12[19740775, 18452147]IFNGC0021390Inflammatory Bowel Diseases[dsyn]ASSOCIATED_WITH2
13[10403730]IFNGC0021390Inflammatory Bowel Diseases[dsyn]AFFECTS1
14[16573780, 27917223, 19184348, 28551707, 25999...IL10C0021390Inflammatory Bowel Diseases[dsyn]ASSOCIATED_WITH13
15[27468578, 25296012]IL10C0021390Inflammatory Bowel Diseases[dsyn]AFFECTS2
16[27468578]IL10C0021390Inflammatory Bowel Diseases[dsyn]PREDISPOSES1
17[11271474]IL10C0021390Inflammatory Bowel Diseases[dsyn]NEG_PREDISPOSES1
18[24519095, 29023267, 17628614]IL10C0021390Inflammatory Bowel Diseases[dsyn]CAUSES3
19[18383521, 23573954, 30541240, 22479607, 19817...IL12BC0021390Inflammatory Bowel Diseases[dsyn]ASSOCIATED_WITH6
20[11023669, 22741617]IL13C0021390Inflammatory Bowel Diseases[dsyn]ASSOCIATED_WITH2
21[9609761, 11023669]IL15C0021390Inflammatory Bowel Diseases[dsyn]ASSOCIATED_WITH2
22[30193869, 21576383]IL17AC0021390Inflammatory Bowel Diseases[dsyn]ASSOCIATED_WITH2
23[30193869, 21994045, 18088064, 21576383]IL17FC0021390Inflammatory Bowel Diseases[dsyn]ASSOCIATED_WITH4
24[6607860, 6237813, 1587419]IL2C0021390Inflammatory Bowel Diseases[dsyn]ASSOCIATED_WITH3
25[19201773]IL22C0021390Inflammatory Bowel Diseases[dsyn]ASSOCIATED_WITH1
26[30193869, 27029486, 18753178, 18499066]IL23AC0021390Inflammatory Bowel Diseases[dsyn]ASSOCIATED_WITH4
27[10477546]IL4C0021390Inflammatory Bowel Diseases[dsyn]DISRUPTS1
28[7806044, 8964392, 9389741]IL4C0021390Inflammatory Bowel Diseases[dsyn]ASSOCIATED_WITH3
29[15766556]IL6C0021390Inflammatory Bowel Diseases[dsyn]TREATS1
30[11204808]IL6C0021390Inflammatory Bowel Diseases[dsyn]NEG_ASSOCIATED_WITH1
31[25145003]IL6C0021390Inflammatory Bowel Diseases[dsyn]CAUSES1
32[11204808, 7683293]IL6C0021390Inflammatory Bowel Diseases[dsyn]ASSOCIATED_WITH2
33[24120915]IL6C0021390Inflammatory Bowel Diseases[dsyn]AFFECTS1
34[29788053]IL9C0021390Inflammatory Bowel Diseases[dsyn]CAUSES1
35[28652656, 11515847]IL9C0021390Inflammatory Bowel Diseases[dsyn]ASSOCIATED_WITH2
36[31158699]IL9C0021390Inflammatory Bowel Diseases[dsyn]AFFECTS1
37[31069840, 19817673, 20627814, 22269120]JAK2C0021390Inflammatory Bowel Diseases[dsyn]ASSOCIATED_WITH4
38[27852544]JAK2C0021390Inflammatory Bowel Diseases[dsyn]AFFECTS1
39[17600378, 9882195]NFKB1C0021390Inflammatory Bowel Diseases[dsyn]ASSOCIATED_WITH2
40[21637825, 20004201]PIK3CAC0021390Inflammatory Bowel Diseases[dsyn]ASSOCIATED_WITH2
41[30006408]RORCC0021390Inflammatory Bowel Diseases[dsyn]ASSOCIATED_WITH1
42[28770550]STAT3C0021390Inflammatory Bowel Diseases[dsyn]CAUSES1
43[21733838]STAT3C0021390Inflammatory Bowel Diseases[dsyn]AUGMENTS1
44[21631466, 25132422, 28785144, 19817673, 20627...STAT3C0021390Inflammatory Bowel Diseases[dsyn]ASSOCIATED_WITH9
45[27852544, 21994179]STAT3C0021390Inflammatory Bowel Diseases[dsyn]AFFECTS2
46[27697608]TSLPC0021390Inflammatory Bowel Diseases[dsyn]CAUSES1
47[21318591, 27697608]TSLPC0021390Inflammatory Bowel Diseases[dsyn]ASSOCIATED_WITH2
48[26432894, 26432894]TYK2C0021390Inflammatory Bowel Diseases[dsyn]AFFECTS2
\n", - "
" - ], - "text/plain": [ - " pubmed_id gene.name lt.id \\\n", - "0 [23131344] IL23R C0021390 \n", - "1 [21155887, 17484863] IL23R C0021390 \n", - "2 [31728561] IL23R C0021390 \n", - "3 [21155887, 18383521, 18383363, 25159710, 18341... IL23R C0021390 \n", - "4 [27852544] IL23R C0021390 \n", - "5 [21557945, 19030026] CSF2 C0021390 \n", - "6 [17206685] CSF2 C0021390 \n", - "7 [23891915] IFNA1 C0021390 \n", - "8 [24975266] IFNA1 C0021390 \n", - "9 [20951137, 28174758, 9836081] IFNA1 C0021390 \n", - "10 [19519446] IFNG C0021390 \n", - "11 [3139380] IFNG C0021390 \n", - "12 [19740775, 18452147] IFNG C0021390 \n", - "13 [10403730] IFNG C0021390 \n", - "14 [16573780, 27917223, 19184348, 28551707, 25999... IL10 C0021390 \n", - "15 [27468578, 25296012] IL10 C0021390 \n", - "16 [27468578] IL10 C0021390 \n", - "17 [11271474] IL10 C0021390 \n", - "18 [24519095, 29023267, 17628614] IL10 C0021390 \n", - "19 [18383521, 23573954, 30541240, 22479607, 19817... IL12B C0021390 \n", - "20 [11023669, 22741617] IL13 C0021390 \n", - "21 [9609761, 11023669] IL15 C0021390 \n", - "22 [30193869, 21576383] IL17A C0021390 \n", - "23 [30193869, 21994045, 18088064, 21576383] IL17F C0021390 \n", - "24 [6607860, 6237813, 1587419] IL2 C0021390 \n", - "25 [19201773] IL22 C0021390 \n", - "26 [30193869, 27029486, 18753178, 18499066] IL23A C0021390 \n", - "27 [10477546] IL4 C0021390 \n", - "28 [7806044, 8964392, 9389741] IL4 C0021390 \n", - "29 [15766556] IL6 C0021390 \n", - "30 [11204808] IL6 C0021390 \n", - "31 [25145003] IL6 C0021390 \n", - "32 [11204808, 7683293] IL6 C0021390 \n", - "33 [24120915] IL6 C0021390 \n", - "34 [29788053] IL9 C0021390 \n", - "35 [28652656, 11515847] IL9 C0021390 \n", - "36 [31158699] IL9 C0021390 \n", - "37 [31069840, 19817673, 20627814, 22269120] JAK2 C0021390 \n", - "38 [27852544] JAK2 C0021390 \n", - "39 [17600378, 9882195] NFKB1 C0021390 \n", - "40 [21637825, 20004201] PIK3CA C0021390 \n", - "41 [30006408] RORC C0021390 \n", - "42 [28770550] STAT3 C0021390 \n", - "43 [21733838] STAT3 C0021390 \n", - "44 [21631466, 25132422, 28785144, 19817673, 20627... STAT3 C0021390 \n", - "45 [27852544, 21994179] STAT3 C0021390 \n", - "46 [27697608] TSLP C0021390 \n", - "47 [21318591, 27697608] TSLP C0021390 \n", - "48 [26432894, 26432894] TYK2 C0021390 \n", - "\n", - " lt.name lt.type st.predicate literature_count \n", - "0 Inflammatory Bowel Diseases [dsyn] PREDISPOSES 1 \n", - "1 Inflammatory Bowel Diseases [dsyn] NEG_ASSOCIATED_WITH 2 \n", - "2 Inflammatory Bowel Diseases [dsyn] CAUSES 1 \n", - "3 Inflammatory Bowel Diseases [dsyn] ASSOCIATED_WITH 21 \n", - "4 Inflammatory Bowel Diseases [dsyn] AFFECTS 1 \n", - "5 Inflammatory Bowel Diseases [dsyn] ASSOCIATED_WITH 2 \n", - "6 Inflammatory Bowel Diseases [dsyn] AFFECTS 1 \n", - "7 Inflammatory Bowel Diseases [dsyn] TREATS 1 \n", - "8 Inflammatory Bowel Diseases [dsyn] PREVENTS 1 \n", - "9 Inflammatory Bowel Diseases [dsyn] ASSOCIATED_WITH 3 \n", - "10 Inflammatory Bowel Diseases [dsyn] TREATS 1 \n", - "11 Inflammatory Bowel Diseases [dsyn] CAUSES 1 \n", - "12 Inflammatory Bowel Diseases [dsyn] ASSOCIATED_WITH 2 \n", - "13 Inflammatory Bowel Diseases [dsyn] AFFECTS 1 \n", - "14 Inflammatory Bowel Diseases [dsyn] ASSOCIATED_WITH 13 \n", - "15 Inflammatory Bowel Diseases [dsyn] AFFECTS 2 \n", - "16 Inflammatory Bowel Diseases [dsyn] PREDISPOSES 1 \n", - "17 Inflammatory Bowel Diseases [dsyn] NEG_PREDISPOSES 1 \n", - "18 Inflammatory Bowel Diseases [dsyn] CAUSES 3 \n", - "19 Inflammatory Bowel Diseases [dsyn] ASSOCIATED_WITH 6 \n", - "20 Inflammatory Bowel Diseases [dsyn] ASSOCIATED_WITH 2 \n", - "21 Inflammatory Bowel Diseases [dsyn] ASSOCIATED_WITH 2 \n", - "22 Inflammatory Bowel Diseases [dsyn] ASSOCIATED_WITH 2 \n", - "23 Inflammatory Bowel Diseases [dsyn] ASSOCIATED_WITH 4 \n", - "24 Inflammatory Bowel Diseases [dsyn] ASSOCIATED_WITH 3 \n", - "25 Inflammatory Bowel Diseases [dsyn] ASSOCIATED_WITH 1 \n", - "26 Inflammatory Bowel Diseases [dsyn] ASSOCIATED_WITH 4 \n", - "27 Inflammatory Bowel Diseases [dsyn] DISRUPTS 1 \n", - "28 Inflammatory Bowel Diseases [dsyn] ASSOCIATED_WITH 3 \n", - "29 Inflammatory Bowel Diseases [dsyn] TREATS 1 \n", - "30 Inflammatory Bowel Diseases [dsyn] NEG_ASSOCIATED_WITH 1 \n", - "31 Inflammatory Bowel Diseases [dsyn] CAUSES 1 \n", - "32 Inflammatory Bowel Diseases [dsyn] ASSOCIATED_WITH 2 \n", - "33 Inflammatory Bowel Diseases [dsyn] AFFECTS 1 \n", - "34 Inflammatory Bowel Diseases [dsyn] CAUSES 1 \n", - "35 Inflammatory Bowel Diseases [dsyn] ASSOCIATED_WITH 2 \n", - "36 Inflammatory Bowel Diseases [dsyn] AFFECTS 1 \n", - "37 Inflammatory Bowel Diseases [dsyn] ASSOCIATED_WITH 4 \n", - "38 Inflammatory Bowel Diseases [dsyn] AFFECTS 1 \n", - "39 Inflammatory Bowel Diseases [dsyn] ASSOCIATED_WITH 2 \n", - "40 Inflammatory Bowel Diseases [dsyn] ASSOCIATED_WITH 2 \n", - "41 Inflammatory Bowel Diseases [dsyn] ASSOCIATED_WITH 1 \n", - "42 Inflammatory Bowel Diseases [dsyn] CAUSES 1 \n", - "43 Inflammatory Bowel Diseases [dsyn] AUGMENTS 1 \n", - "44 Inflammatory Bowel Diseases [dsyn] ASSOCIATED_WITH 9 \n", - "45 Inflammatory Bowel Diseases [dsyn] AFFECTS 2 \n", - "46 Inflammatory Bowel Diseases [dsyn] CAUSES 1 \n", - "47 Inflammatory Bowel Diseases [dsyn] ASSOCIATED_WITH 2 \n", - "48 Inflammatory Bowel Diseases [dsyn] AFFECTS 2 " - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "def extract_literature(outcome_trait, gene_list):\n", " def per_gene(gene_name):\n", @@ -1287,184 +189,10 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "id": "45d581e8-e082-4024-b492-740b9bc8cc16", "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
gene.ensembl_idgene.namegwas.idgwas.traitr.betar.ser.pr.rsidqtl_type
0ENSG00000162594IL23Rieu-a-294Inflammatory bowel disease1.5008210.0545922.212578e-166rs11581607pQTL
1ENSG00000113302IL12Bieu-a-294Inflammatory bowel disease0.4176050.0344909.590000e-34rs4921484pQTL
2ENSG00000162594IL23Rieu-a-294Inflammatory bowel disease0.8867120.0644204.165652e-43rs2064689eQTL
3ENSG00000164136IL15ieu-a-294Inflammatory bowel disease-1.4216250.1971315.530616e-13rs75301646eQTL
4ENSG00000113520IL4ieu-a-294Inflammatory bowel disease0.4598480.0840504.471537e-08rs2070874eQTL
5ENSG00000096968JAK2ieu-a-294Inflammatory bowel disease-1.8967100.2038081.322967e-20rs4788084eQTL
6ENSG00000109320NFKB1ieu-a-294Inflammatory bowel disease0.9735560.1738932.160849e-08rs4766578eQTL
7ENSG00000143365RORCieu-a-294Inflammatory bowel disease-0.9949910.1163431.207271e-17rs4845604eQTL
8ENSG00000168610STAT3ieu-a-294Inflammatory bowel disease0.5974730.0757002.958269e-15rs1053004eQTL
\n", - "
" - ], - "text/plain": [ - " gene.ensembl_id gene.name gwas.id gwas.trait r.beta \\\n", - "0 ENSG00000162594 IL23R ieu-a-294 Inflammatory bowel disease 1.500821 \n", - "1 ENSG00000113302 IL12B ieu-a-294 Inflammatory bowel disease 0.417605 \n", - "2 ENSG00000162594 IL23R ieu-a-294 Inflammatory bowel disease 0.886712 \n", - "3 ENSG00000164136 IL15 ieu-a-294 Inflammatory bowel disease -1.421625 \n", - "4 ENSG00000113520 IL4 ieu-a-294 Inflammatory bowel disease 0.459848 \n", - "5 ENSG00000096968 JAK2 ieu-a-294 Inflammatory bowel disease -1.896710 \n", - "6 ENSG00000109320 NFKB1 ieu-a-294 Inflammatory bowel disease 0.973556 \n", - "7 ENSG00000143365 RORC ieu-a-294 Inflammatory bowel disease -0.994991 \n", - "8 ENSG00000168610 STAT3 ieu-a-294 Inflammatory bowel disease 0.597473 \n", - "\n", - " r.se r.p r.rsid qtl_type \n", - "0 0.054592 2.212578e-166 rs11581607 pQTL \n", - "1 0.034490 9.590000e-34 rs4921484 pQTL \n", - "2 0.064420 4.165652e-43 rs2064689 eQTL \n", - "3 0.197131 5.530616e-13 rs75301646 eQTL \n", - "4 0.084050 4.471537e-08 rs2070874 eQTL \n", - "5 0.203808 1.322967e-20 rs4788084 eQTL \n", - "6 0.173893 2.160849e-08 rs4766578 eQTL \n", - "7 0.116343 1.207271e-17 rs4845604 eQTL \n", - "8 0.075700 2.958269e-15 rs1053004 eQTL " - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "def extract_mr(outcome_trait, gene_list, qtl_type):\n", " endpoint = \"/xqtl/single-snp-mr\"\n", @@ -1515,101 +243,10 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "id": "7b46775e-092b-4c65-ab8c-2ed5c4808276", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "dict_keys(['nodes', 'edges', 'connections']) \n", - "\n", - "# nodes:\n", - "{'Disease': {'count': 38960,\n", - " 'properties': {'_id': {'indexed': True,\n", - " 'type': 'STRING',\n", - " 'unique': False},\n", - " '_name': {'indexed': True,\n", - " 'type': 'STRING',\n", - " 'unique': False},\n", - " '_source': {'indexed': False,\n", - " 'type': 'LIST',\n", - " 'unique': False},\n", - " 'definition': {'indexed': False,\n", - " 'type': 'STRING',\n", - " 'unique': False},\n", - " 'doid': {'indexed': True,\n", - " 'type': 'LIST',\n", - " 'unique': False},\n", - " 'efo': {'indexed': False,\n", - " 'type': 'LIST',\n", - " \n", - "\n", - "# edges:\n", - "{'BIORXIV_OBJ': {'count': 32651,\n", - " 'properties': {'_source': {'array': True, 'type': 'LIST'}}},\n", - " 'BIORXIV_PREDICATE': {'count': 32648,\n", - " 'properties': {'_source': {'array': True,\n", - " 'type': 'LIST'},\n", - " 'count': {'array': False,\n", - " 'type': 'INTEGER'},\n", - " 'predicate': {'array': False,\n", - " 'type': 'STRING'}}},\n", - " 'BIORXIV_SUB': {'count': 32657,\n", - " 'properties': {'_source': {'array': True, 'type': 'LIST'}}},\n", - " 'BIORXIV_TO_LIT': {'count': 35211,\n", - " 'properties': {'_source': {'array': True, 'type': 'LIST'}}},\n", - " 'CPIC': {'count': 375,\n", - " 'properties': {'_source': {'array': True, 'type': 'LIST'},\n", - " 'cpic_level': {'array': False, 'type': 'STRING'},\n", - " 'guideline': {'array': F \n", - "\n", - "# connections:\n", - "[{'count': 2461,\n", - " 'from_node': 'Drug',\n", - " 'rel': 'OPENTARGETS_DRUG_TO_DISEASE',\n", - " 'to_node': 'Disease'},\n", - " {'count': 5763,\n", - " 'from_node': 'Gene',\n", - " 'rel': 'GENE_TO_DISEASE',\n", - " 'to_node': 'Disease'},\n", - " {'count': 8247,\n", - " 'from_node': 'Disease',\n", - " 'rel': 'MONDO_MAP_UMLS',\n", - " 'to_node': 'LiteratureTerm'},\n", - " {'count': 2819,\n", - " 'from_node': 'Disease',\n", - " 'rel': 'MONDO_MAP_EFO',\n", - " 'to_node': 'Efo'},\n", - " {'count': 2463,\n", - " 'from_node': 'Pathway',\n", - " 'rel': 'PATHWAY_CHILD_OF',\n", - " 'to_node': 'Pathway'},\n", - " {'count': 121873,\n", - " 'from_node': 'Protein',\n", - " 'rel': 'PROTEIN_IN_PATHWAY',\n", - " 'to_node': 'Pathway'},\n", - " {'count': 1969,\n", - " 'from_node': 'LiteratureTriple',\n", - " 'rel': 'MEDRXIV_SUB',\n", - " 'to_node': 'LiteratureTerm'},\n", - " {'count': 5584547,\n", - " 'from_node': 'LiteratureTerm',\n", - " 'rel': 'SEMMEDDB_PREDICATE',\n", - " 'to_node': 'LiteratureTerm'},\n", - " {'count': 5584547,\n", - " 'from_node': 'LiteratureTriple',\n", - " 'rel': 'SEMMEDDB_SUB',\n", - " 'to_node': 'LiteratureTerm'},\n", - " {'count': 5556,\n", - " 'from_node': 'Gwas',\n", - " 'rel': 'METAMAP_LITE',\n", - " 'to_node' \n", - "\n" - ] - } - ], + "outputs": [], "source": [ "endpoint = \"/meta/schema\"\n", "params = {\"graphviz\": False, \"plot\": False}\n", @@ -1635,121 +272,10 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "id": "0d488ef6-6ab8-4681-a20f-86165a62fec1", "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
countproperties
Disease38,960{'_name': {'type': 'STRING', 'indexed': True, ...
Drug2,697{'molecule_type': {'type': 'STRING', 'indexed'...
Efo25,390{'_name': {'type': 'STRING', 'indexed': True, ...
Gene57,737{'druggability_tier': {'type': 'STRING', 'inde...
Gwas34,494{'note': {'type': 'STRING', 'indexed': False, ...
Literature3,995,672{'issn': {'type': 'STRING', 'indexed': False, ...
LiteratureTerm108,905{'_name': {'type': 'STRING', 'indexed': True, ...
LiteratureTriple5,609,945{'subject_id': {'type': 'STRING', 'indexed': T...
Pathway2,441{'_name': {'type': 'STRING', 'indexed': True, ...
Protein20,280{'name': {'type': 'STRING', 'indexed': True, '...
Tissue54{'name': {'type': 'STRING', 'indexed': True, '...
Variant99,005{'ref': {'type': 'STRING', 'indexed': False, '...
\n", - "
" - ], - "text/plain": [ - " count properties\n", - "Disease 38,960 {'_name': {'type': 'STRING', 'indexed': True, ...\n", - "Drug 2,697 {'molecule_type': {'type': 'STRING', 'indexed'...\n", - "Efo 25,390 {'_name': {'type': 'STRING', 'indexed': True, ...\n", - "Gene 57,737 {'druggability_tier': {'type': 'STRING', 'inde...\n", - "Gwas 34,494 {'note': {'type': 'STRING', 'indexed': False, ...\n", - "Literature 3,995,672 {'issn': {'type': 'STRING', 'indexed': False, ...\n", - "LiteratureTerm 108,905 {'_name': {'type': 'STRING', 'indexed': True, ...\n", - "LiteratureTriple 5,609,945 {'subject_id': {'type': 'STRING', 'indexed': T...\n", - "Pathway 2,441 {'_name': {'type': 'STRING', 'indexed': True, ...\n", - "Protein 20,280 {'name': {'type': 'STRING', 'indexed': True, '...\n", - "Tissue 54 {'name': {'type': 'STRING', 'indexed': True, '...\n", - "Variant 99,005 {'ref': {'type': 'STRING', 'indexed': False, '..." - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "meta_node_df = pd.DataFrame.from_dict(metadata[\"nodes\"], orient=\"index\")\n", "\n", @@ -1770,465 +296,10 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "id": "fd901d2c-6b1b-42b0-82f7-74105680fb7f", "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
countpropertiesfrom_nodeto_node
MONDO_MAP_EFO2,819{'_source': {'array': False, 'type': 'STRING'}}DiseaseEfo
MONDO_MAP_UMLS8,247{'_source': {'array': False, 'type': 'STRING'}}DiseaseLiteratureTerm
OPENTARGETS_DRUG_TO_DISEASE2,461{'_source': {'array': True, 'type': 'LIST'}}DrugDisease
CPIC375{'pharmgkb_level_of_evidence': {'array': False...DrugGene
OPENTARGETS_DRUG_TO_TARGET6,534{'phase': {'array': False, 'type': 'STRING'}, ...DrugGene
EFO_CHILD_OF43,132{'_source': {'array': True, 'type': 'LIST'}}EfoEfo
GENE_TO_DISEASE5,763{'last_updated': {'array': False, 'type': 'STR...GeneDisease
XQTL_MULTI_SNP_MR3,015,233{'p': {'array': False, 'type': 'FLOAT'}, 'se':...GeneGwas
XQTL_SINGLE_SNP_MR_GENE_GWAS8,449,779{'p': {'array': False, 'type': 'FLOAT'}, 'se':...GeneGwas
GENE_TO_PROTEIN19,142{'_source': {'array': True, 'type': 'LIST'}}GeneProtein
EXPRESSED_IN2,918,240{'tpm': {'array': False, 'type': 'FLOAT'}, '_s...GeneTissue
GWAS_NLP_EFO12,302{'score': {'array': False, 'type': 'FLOAT'}, '...GwasEfo
GWAS_EFO_EBI281{'_source': {'array': True, 'type': 'LIST'}}GwasEfo
PRS118,124{'p': {'array': False, 'type': 'FLOAT'}, 'r2':...GwasGwas
MR_EVE_MR25,804,945{'b': {'array': False, 'type': 'FLOAT'}, 'se':...GwasGwas
GEN_COR840,960{'h2_intercept_SE': {'array': False, 'type': '...GwasGwas
OBS_COR17,932{'_source': {'array': True, 'type': 'LIST'}, '...GwasGwas
GWAS_NLP89,239,773{'score': {'array': False, 'type': 'FLOAT'}, '...GwasGwas
GWAS_TO_LITERATURE28,111,669{'_source': {'array': True, 'type': 'LIST'}}GwasLiterature
METAMAP_LITE5,556{'_source': {'array': True, 'type': 'LIST'}, '...GwasLiteratureTerm
GWAS_TO_LITERATURE_TRIPLE17,531,153{'pval': {'array': False, 'type': 'FLOAT'}, 'g...GwasLiteratureTriple
OPENGWAS_TOPHITS160,283{'_source': {'array': True, 'type': 'LIST'}, '...GwasVariant
GWAS_TO_VARIANT26,436{'se': {'array': False, 'type': 'FLOAT'}, 'nca...GwasVariant
TERM_TO_GENE16,435{'_source': {'array': False, 'type': 'STRING'}}LiteratureTermGene
SEMMEDDB_PREDICATE5,584,547{'count': {'array': False, 'type': 'INTEGER'},...LiteratureTermLiteratureTerm
BIORXIV_PREDICATE32,648{'count': {'array': False, 'type': 'INTEGER'},...LiteratureTermLiteratureTerm
MEDRXIV_PREDICATE1,969{'count': {'array': False, 'type': 'INTEGER'},...LiteratureTermLiteratureTerm
BIORXIV_TO_LIT35,211{'_source': {'array': True, 'type': 'LIST'}}LiteratureTripleLiterature
SEMMEDDB_TO_LIT10,589,785{'_source': {'array': True, 'type': 'LIST'}}LiteratureTripleLiterature
MEDRXIV_TO_LIT2,091{'_source': {'array': True, 'type': 'LIST'}}LiteratureTripleLiterature
MEDRXIV_SUB1,969{'_source': {'array': True, 'type': 'LIST'}}LiteratureTripleLiteratureTerm
SEMMEDDB_SUB5,584,547{'_source': {'array': True, 'type': 'LIST'}}LiteratureTripleLiteratureTerm
MEDRXIV_OBJ1,969{'_source': {'array': True, 'type': 'LIST'}}LiteratureTripleLiteratureTerm
BIORXIV_OBJ32,651{'_source': {'array': True, 'type': 'LIST'}}LiteratureTripleLiteratureTerm
BIORXIV_SUB32,657{'_source': {'array': True, 'type': 'LIST'}}LiteratureTripleLiteratureTerm
SEMMEDDB_OBJ5,584,547{'_source': {'array': True, 'type': 'LIST'}}LiteratureTripleLiteratureTerm
PATHWAY_CHILD_OF2,463{'_source': {'array': True, 'type': 'LIST'}}PathwayPathway
PROTEIN_IN_PATHWAY121,873{'_source': {'array': True, 'type': 'LIST'}}ProteinPathway
STRING_INTERACT_WITH827,184{'score': {'array': False, 'type': 'FLOAT'}, '...ProteinProtein
VARIANT_TO_GENE108,561{'amino_acids': {'array': False, 'type': 'STRI...VariantGene
XQTL_SINGLE_SNP_MR_SNP_GENE41,564{'_source': {'array': True, 'type': 'LIST'}}VariantGene
\n", - "
" - ], - "text/plain": [ - " count \\\n", - "MONDO_MAP_EFO 2,819 \n", - "MONDO_MAP_UMLS 8,247 \n", - "OPENTARGETS_DRUG_TO_DISEASE 2,461 \n", - "CPIC 375 \n", - "OPENTARGETS_DRUG_TO_TARGET 6,534 \n", - "EFO_CHILD_OF 43,132 \n", - "GENE_TO_DISEASE 5,763 \n", - "XQTL_MULTI_SNP_MR 3,015,233 \n", - "XQTL_SINGLE_SNP_MR_GENE_GWAS 8,449,779 \n", - "GENE_TO_PROTEIN 19,142 \n", - "EXPRESSED_IN 2,918,240 \n", - "GWAS_NLP_EFO 12,302 \n", - "GWAS_EFO_EBI 281 \n", - "PRS 118,124 \n", - "MR_EVE_MR 25,804,945 \n", - "GEN_COR 840,960 \n", - "OBS_COR 17,932 \n", - "GWAS_NLP 89,239,773 \n", - "GWAS_TO_LITERATURE 28,111,669 \n", - "METAMAP_LITE 5,556 \n", - "GWAS_TO_LITERATURE_TRIPLE 17,531,153 \n", - "OPENGWAS_TOPHITS 160,283 \n", - "GWAS_TO_VARIANT 26,436 \n", - "TERM_TO_GENE 16,435 \n", - "SEMMEDDB_PREDICATE 5,584,547 \n", - "BIORXIV_PREDICATE 32,648 \n", - "MEDRXIV_PREDICATE 1,969 \n", - "BIORXIV_TO_LIT 35,211 \n", - "SEMMEDDB_TO_LIT 10,589,785 \n", - "MEDRXIV_TO_LIT 2,091 \n", - "MEDRXIV_SUB 1,969 \n", - "SEMMEDDB_SUB 5,584,547 \n", - "MEDRXIV_OBJ 1,969 \n", - "BIORXIV_OBJ 32,651 \n", - "BIORXIV_SUB 32,657 \n", - "SEMMEDDB_OBJ 5,584,547 \n", - "PATHWAY_CHILD_OF 2,463 \n", - "PROTEIN_IN_PATHWAY 121,873 \n", - "STRING_INTERACT_WITH 827,184 \n", - "VARIANT_TO_GENE 108,561 \n", - "XQTL_SINGLE_SNP_MR_SNP_GENE 41,564 \n", - "\n", - " properties \\\n", - "MONDO_MAP_EFO {'_source': {'array': False, 'type': 'STRING'}} \n", - "MONDO_MAP_UMLS {'_source': {'array': False, 'type': 'STRING'}} \n", - "OPENTARGETS_DRUG_TO_DISEASE {'_source': {'array': True, 'type': 'LIST'}} \n", - "CPIC {'pharmgkb_level_of_evidence': {'array': False... \n", - "OPENTARGETS_DRUG_TO_TARGET {'phase': {'array': False, 'type': 'STRING'}, ... \n", - "EFO_CHILD_OF {'_source': {'array': True, 'type': 'LIST'}} \n", - "GENE_TO_DISEASE {'last_updated': {'array': False, 'type': 'STR... \n", - "XQTL_MULTI_SNP_MR {'p': {'array': False, 'type': 'FLOAT'}, 'se':... \n", - "XQTL_SINGLE_SNP_MR_GENE_GWAS {'p': {'array': False, 'type': 'FLOAT'}, 'se':... \n", - "GENE_TO_PROTEIN {'_source': {'array': True, 'type': 'LIST'}} \n", - "EXPRESSED_IN {'tpm': {'array': False, 'type': 'FLOAT'}, '_s... \n", - "GWAS_NLP_EFO {'score': {'array': False, 'type': 'FLOAT'}, '... \n", - "GWAS_EFO_EBI {'_source': {'array': True, 'type': 'LIST'}} \n", - "PRS {'p': {'array': False, 'type': 'FLOAT'}, 'r2':... \n", - "MR_EVE_MR {'b': {'array': False, 'type': 'FLOAT'}, 'se':... \n", - "GEN_COR {'h2_intercept_SE': {'array': False, 'type': '... \n", - "OBS_COR {'_source': {'array': True, 'type': 'LIST'}, '... \n", - "GWAS_NLP {'score': {'array': False, 'type': 'FLOAT'}, '... \n", - "GWAS_TO_LITERATURE {'_source': {'array': True, 'type': 'LIST'}} \n", - "METAMAP_LITE {'_source': {'array': True, 'type': 'LIST'}, '... \n", - "GWAS_TO_LITERATURE_TRIPLE {'pval': {'array': False, 'type': 'FLOAT'}, 'g... \n", - "OPENGWAS_TOPHITS {'_source': {'array': True, 'type': 'LIST'}, '... \n", - "GWAS_TO_VARIANT {'se': {'array': False, 'type': 'FLOAT'}, 'nca... \n", - "TERM_TO_GENE {'_source': {'array': False, 'type': 'STRING'}} \n", - "SEMMEDDB_PREDICATE {'count': {'array': False, 'type': 'INTEGER'},... \n", - "BIORXIV_PREDICATE {'count': {'array': False, 'type': 'INTEGER'},... \n", - "MEDRXIV_PREDICATE {'count': {'array': False, 'type': 'INTEGER'},... \n", - "BIORXIV_TO_LIT {'_source': {'array': True, 'type': 'LIST'}} \n", - "SEMMEDDB_TO_LIT {'_source': {'array': True, 'type': 'LIST'}} \n", - "MEDRXIV_TO_LIT {'_source': {'array': True, 'type': 'LIST'}} \n", - "MEDRXIV_SUB {'_source': {'array': True, 'type': 'LIST'}} \n", - "SEMMEDDB_SUB {'_source': {'array': True, 'type': 'LIST'}} \n", - "MEDRXIV_OBJ {'_source': {'array': True, 'type': 'LIST'}} \n", - "BIORXIV_OBJ {'_source': {'array': True, 'type': 'LIST'}} \n", - "BIORXIV_SUB {'_source': {'array': True, 'type': 'LIST'}} \n", - "SEMMEDDB_OBJ {'_source': {'array': True, 'type': 'LIST'}} \n", - "PATHWAY_CHILD_OF {'_source': {'array': True, 'type': 'LIST'}} \n", - "PROTEIN_IN_PATHWAY {'_source': {'array': True, 'type': 'LIST'}} \n", - "STRING_INTERACT_WITH {'score': {'array': False, 'type': 'FLOAT'}, '... \n", - "VARIANT_TO_GENE {'amino_acids': {'array': False, 'type': 'STRI... \n", - "XQTL_SINGLE_SNP_MR_SNP_GENE {'_source': {'array': True, 'type': 'LIST'}} \n", - "\n", - " from_node to_node \n", - "MONDO_MAP_EFO Disease Efo \n", - "MONDO_MAP_UMLS Disease LiteratureTerm \n", - "OPENTARGETS_DRUG_TO_DISEASE Drug Disease \n", - "CPIC Drug Gene \n", - "OPENTARGETS_DRUG_TO_TARGET Drug Gene \n", - "EFO_CHILD_OF Efo Efo \n", - "GENE_TO_DISEASE Gene Disease \n", - "XQTL_MULTI_SNP_MR Gene Gwas \n", - "XQTL_SINGLE_SNP_MR_GENE_GWAS Gene Gwas \n", - "GENE_TO_PROTEIN Gene Protein \n", - "EXPRESSED_IN Gene Tissue \n", - "GWAS_NLP_EFO Gwas Efo \n", - "GWAS_EFO_EBI Gwas Efo \n", - "PRS Gwas Gwas \n", - "MR_EVE_MR Gwas Gwas \n", - "GEN_COR Gwas Gwas \n", - "OBS_COR Gwas Gwas \n", - "GWAS_NLP Gwas Gwas \n", - "GWAS_TO_LITERATURE Gwas Literature \n", - "METAMAP_LITE Gwas LiteratureTerm \n", - "GWAS_TO_LITERATURE_TRIPLE Gwas LiteratureTriple \n", - "OPENGWAS_TOPHITS Gwas Variant \n", - "GWAS_TO_VARIANT Gwas Variant \n", - "TERM_TO_GENE LiteratureTerm Gene \n", - "SEMMEDDB_PREDICATE LiteratureTerm LiteratureTerm \n", - "BIORXIV_PREDICATE LiteratureTerm LiteratureTerm \n", - "MEDRXIV_PREDICATE LiteratureTerm LiteratureTerm \n", - "BIORXIV_TO_LIT LiteratureTriple Literature \n", - "SEMMEDDB_TO_LIT LiteratureTriple Literature \n", - "MEDRXIV_TO_LIT LiteratureTriple Literature \n", - "MEDRXIV_SUB LiteratureTriple LiteratureTerm \n", - "SEMMEDDB_SUB LiteratureTriple LiteratureTerm \n", - "MEDRXIV_OBJ LiteratureTriple LiteratureTerm \n", - "BIORXIV_OBJ LiteratureTriple LiteratureTerm \n", - "BIORXIV_SUB LiteratureTriple LiteratureTerm \n", - "SEMMEDDB_OBJ LiteratureTriple LiteratureTerm \n", - "PATHWAY_CHILD_OF Pathway Pathway \n", - "PROTEIN_IN_PATHWAY Protein Pathway \n", - "STRING_INTERACT_WITH Protein Protein \n", - "VARIANT_TO_GENE Variant Gene \n", - "XQTL_SINGLE_SNP_MR_SNP_GENE Variant Gene " - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "meta_rel_df = pd.DataFrame.from_dict(metadata[\"edges\"], orient=\"index\").merge(\n", " pd.DataFrame.from_dict(\n", @@ -2255,879 +326,10 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "id": "5413d114-1140-4445-b832-dd7142c22917", "metadata": {}, - "outputs": [ - { - "data": { - "image/svg+xml": [ - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " 2022-08-05T04:37:23.066938\n", - " image/svg+xml\n", - " \n", - " \n", - " Matplotlib v3.4.2, https://matplotlib.org/\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "\n" - ], - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "graph = nx.from_pandas_edgelist(meta_rel_df, source=\"from_node\", target=\"to_node\")\n", "cmap = matplotlib.colors.ListedColormap([\"dodgerblue\", \"lightgray\", \"darkorange\"])\n", @@ -3162,6 +364,14 @@ "\n", "* Zheng J, Brumpton BM, Bronson PG, Liu Y, Haycock P, Elsworth B, Haberland V, Baird D, Walker V, Robinson JW, John S, Prins B, Runz H, Nelson MR, Hurle M, Hemani G, Asvold BO, Butterworth A, Smith GD, Scott RA, Gaunt TR. 2019. Systematic Mendelian randomization and colocalization analyses of the plasma proteome and blood transcriptome to prioritize drug targets for complex disease." ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a6adfa21-c26c-45e5-bfa5-f5389144bd17", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { @@ -3180,7 +390,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.6" + "version": "3.9.20" } }, "nbformat": 4, diff --git a/BRH-notebooks/combined_demos/JCOIN_MOUD_accessibility.ipynb b/BRH-notebooks/combined_demos/JCOIN_MOUD_accessibility.ipynb deleted file mode 100644 index 8a3f1cd6..00000000 --- a/BRH-notebooks/combined_demos/JCOIN_MOUD_accessibility.ipynb +++ /dev/null @@ -1,902 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Medication for Opioid Use Disorder (MOUD) Accessibility Analysis \n", - "\n", - "*Please note: This notebook uses open access data* \n", - "*Please note: JCOIN Google Login in the BRH Profile Page needs to be authorized*\n", - "\n", - "\n", - "## Qiong Liu\n", - "Feb 9th, 2022\n", - "\n", - "Over 800,000 people have died from drug overdoses since 1999 ([ref](https://wonder.cdc.gov/)). The estimated population with **Opioid Use Disorder (OUD)** is over **2.1 million** in the United States ([ref](https://www.ncbi.nlm.nih.gov/books/NBK553166/)). Throughout the COVID-19 pandemic, this opioid crisis has worsened with an estimated **100,306 drug overdose deaths** in the US during the 12-month period ending in April 2021, which is an increase of 28.5% from the 78,056 deaths during the same period the year before ([ref](https://www.cdc.gov/nchs/pressroom/nchs_press_releases/2021/20211117.htm)).\n", - "\n", - "To mitigate the adverse consequences of this opioid crisis, strategies, such as improving access to overdose reversal and medication for addiction treatment, are emerging at the state and local level in the US. **Medication for OUD treatment (MOUDs)**, including **methadone hydrochloride, buprenorphine hydrochloride, and extended-release\n", - "naltrexone hydrochloride**, have been clinically proven to be effective at reducing opioid use and adverse outcomes ([ref](https://www.samhsa.gov/medication-assisted-treatment/medications-counseling-related-conditions#opioid-dependency-medications)). In this notebook, we will assess the MOUD capacity at the state and county levels across the US, and identify the high risk counties with high drug related death rate and low MOUD accessibility, using the data from [project Opioid Environment Policy Scan (OEPS)](https://jcoin.datacommons.io/JCOIN-OEPS). The OEPS data is created and led by the Healthy Regions and Policies Lab at University of Chicago, part of the Methodology and Advanced Analytics Resource Center (MAARC)\n", - "\n", - "\n", - "\n", - "### Citation\n", - "\n", - "Susan Paykin, Dylan Halpern, Qinyun Lin, Moksha Menghaney, Angela Li, Rachel Vigil, Margot Bolanos Gamez, Alexa Jin, Ally Muszynski, and Marynia Kolak. (2021). GeoDaCenter/opioid-policy-scan: Opioid Environment Policy Scan Data Warehouse (v1.0). Zenodo. https://doi.org/10.5281/zenodo.5842465\n", - "\n", - "---\n", - "\n", - "## Content\n", - "\n", - "* [MOUDs providers distribution at state level across the United States](#MOUDs-providers-distribution-at-state-level-across-the-United-States)\n", - "* [MOUD providers that offer more than one category](#MOUD-providers-that-offer-more-than-one-category)\n", - "* [MOUDs providers distribution at county level across the United States](#MOUDs-providers-distribution-at-county-level-across-the-United-States)\n", - "* [Identifying high risk counties with high drug related death rate and low capacity of MOUDs](#Identifying-high-risk-counties-with-high-drug-related-death-rate-and-low-capacity-of-MOUDs)\n", - "* [Key takeaways](#Key-takeaways)\n", - "* [Additional resources for analyzing OEPS data](#Additional-resources-for-analyzing-OEPS-data)\n", - "\n", - "\n", - ">**Note**: To view code clocks, please click the `Show Code` button at the upper-left corner.\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# suppress warnings (to include warnings,set warn to 0)\n", - "options(warn=-1)\n", - "\n", - "# import Python libraries\n", - "library(sf)\n", - "library(tidygeocoder)\n", - "library(tmap)\n", - "library(tidyverse)\n", - "library(readxl)\n", - "library(units)\n", - "library(repr)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The next block imports all the object files from JCOIN OEPS project that will be used in this notebook." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# File name: us-wide-moudsCleaned.csv - File size: 3076193\n", - "system('gen3 drs-pull object dg.6VTS/f30a3855-9093-473f-8ce6-784fc9b53066')\n", - "\n", - "# File name: Health01_C.csv - File size: 137482\n", - "system('gen3 drs-pull object dg.6VTS/bcbcb063-68eb-440f-9466-68398e645e2c')\n", - "\n", - "# File name: Health01_S.csv - File size: 1652\n", - "system('gen3 drs-pull object dg.6VTS/c6268722-88e5-40ad-bf83-0859e5ea5db6')\n", - "\n", - "# File name: counties2018.dbf - File size: 1913800\n", - "system('gen3 drs-pull object dg.6VTS/81d375fb-85a0-4bfa-a3d5-80cc26c8043d')\n", - "\n", - "# File name: counties2018.prj - File size: 143\n", - "system('gen3 drs-pull object dg.6VTS/9c0b2388-c066-4e10-89f1-52e7fc35476e')\n", - "\n", - "# File name: counties2018.shp - File size: 16514608\n", - "system('gen3 drs-pull object dg.6VTS/2e3e0411-d09d-47dc-bcfd-1b59db06a81b')\n", - "\n", - "# File name: counties2018.shx - File size: 25236\n", - "system('gen3 drs-pull object dg.6VTS/ebc612c6-63e7-4b37-b161-cac3e65b9d86')\n", - "\n", - "# File name: states2018.dbf - File size: 31381\n", - "system('gen3 drs-pull object dg.6VTS/960a8487-fe60-4dfa-aac6-73b3bcd5a718')\n", - "\n", - "# File name: states2018.prj - File size: 143\n", - "system('gen3 drs-pull object dg.6VTS/17c65a27-4c99-45ff-838c-0c23524e9e86')\n", - "\n", - "# File name: states2018.shp - File size: 4577908\n", - "system('gen3 drs-pull object dg.6VTS/cdc09eb7-cfeb-4a1e-81ee-7955c6ddd983')\n", - "\n", - "# File name: states2018.shx - File size: 508\n", - "system('gen3 drs-pull object dg.6VTS/c235a98a-e796-4a58-bd9e-4677e447ab67')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The MOUDs location across the US is stored in a comma-delimited file called `us-wide-moudsCleaned.csv`. The next two blocks read the file into dataframe, conduct basic data cleanup, and show the first two lines of the data.\n", - "\n", - "Each line shows a record of MOUDs provider including its detailed location and which MOUD (under `category` column) the provider can prescribe." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Read the file of MOUD locations\n", - "moud_location = 'us-wide-moudsCleaned.csv'\n", - "\n", - "class_vector <-rep(c(\"character\"),17)\n", - "moud_clinics<-read.csv(moud_location, stringsAsFactors=FALSE,\n", - " na.strings=c(\"NA\"), colClasses=class_vector)\n", - "\n", - "# Dataframe clean up\n", - "names(moud_clinics) <-c(\n", - " \"name1\",\n", - " \"name2\" ,\n", - " \"street1\" ,\n", - " \"street2\" ,\n", - " \"city\" ,\n", - " \"state\" ,\n", - " \"zip\" ,\n", - " \"zip4\" ,\n", - " \"category\",\n", - " \"countyGEOID\" ,\n", - " \"countyName\" ,\n", - " \"source\",\n", - " \"geom1\" ,\n", - " \"geom2\",\n", - " \"Longitude\",\n", - " \"Latitude\")\n", - "\n", - "moud_clinics$geom <- paste(moud_clinics$geom1,\",\",moud_clinics$geom2)\n", - "dropcol <- c(\"geom1\", \"geom2\")\n", - "moud_clinics <- moud_clinics[, !(names(moud_clinics) %in% dropcol)]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# show the head of the data frame\n", - "head(moud_clinics, n=2)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## MOUDs providers distribution at state level across the United States\n", - "\n", - "Below is the summary count table of MOUDs for each category (methadone, buprenorphine, and naltrexone). Keep in mind that a MOUD provider can appear in multiple categories. For instance, one provider can prescribe both buprenorphine and naltrexone." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Some providers under Naltrexone category have been double registered under both SAMHSA and vivitrolWeb.\n", - "# We need to remove duplicates first\n", - "# Create a new variable with complete full address\n", - "moud_clinics$full_address <- paste(moud_clinics$name1,\",\",moud_clinics$name2, \",\", moud_clinics$street1,\",\",moud_clinics$street2, \",\", moud_clinics$city, \",\", moud_clinics$state, \",\",moud_clinics$zip)\n", - "\n", - "moud_noduplicate <- moud_clinics %>% \n", - " arrange(desc(full_address), desc(category)) %>% \n", - " group_by(full_address) %>% \n", - " distinct(category, .keep_all = TRUE)\n", - "\n", - "# Count the number of MOUD providers under each category\n", - "moud_noduplicate %>% group_by(category) %>% summarise(n = n())" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### MOUDs categories\n", - "* The most common category of MOUD providors across the United States is Naltrexone/vivitro (9,141), which is follow by buprenorphine (4,169), and methodone (1,457).\n", - "* **Methodone**, an opioid agonist, has the potential leading to severe psychological or physical dependence, and is currently classfied as *schedule II* drug under the Controlled Substances Act. **Buprenorphine**, depending on the type of receptor, may be an agonist, partial agonist, or antagonist of the opioid receptor. Buprenorphine is classifed as *schedule III* drug. Meanwhile, **naltrexone/vivitrol** is not classified as a controlled substance. The prevalance of each MOUD category across the country reflects the regulatory stringency accordingly.\n", - "\n", - "\n", - "### MOUDs distribution by state\n", - "\n", - "Below we generated a summary count table for each MOUD category in each state. As mentioned above, same provider can appear in more than one category. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Create a dataframe of MOUD category counts by state\n", - "methadone_state <- moud_noduplicate %>% filter(category == 'methadone') %>% group_by(state) %>% summarise(n = n())\n", - "colnames(methadone_state)[2] <- \"methadone\"\n", - "\n", - "buprenorphine_state <- moud_noduplicate %>% filter(category == 'buprenorphine') %>% group_by(state) %>% summarise(n = n())\n", - "colnames(buprenorphine_state)[2]<- \"buprenorphine\"\n", - "\n", - "naltrexone_state <- moud_noduplicate %>% filter(category == 'naltrexone/vivitrol') %>% group_by(state) %>% summarise(n = n())\n", - "colnames(naltrexone_state)[2]<- \"naltrexone\"\n", - "\n", - "merged_df <- merge(methadone_state, buprenorphine_state, by='state', all=TRUE) %>% merge(naltrexone_state, by='state', all=TRUE)\n", - "head(merged_df, n=5)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To calculate the accessibilty of MOUDs in each state, we merged the MOUD counts by state dataframe with another dataframe (`Health01_S.csv`), which contains the estimated state population from 2009-18. Below is the first few lines of a new dataframe `MOUD_death_pop` with additional columns for MOUDs rate in each state." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Calculate the MOUDs rate at the state level\n", - "# Read the drug related death rate dataset which has the State population number\n", - "OD_death_S <-read.csv(\"Health01_S.csv\",\n", - " stringsAsFactors=FALSE, colClasses=c(\"STATEFP\"=\"character\", \"state\"=\"character\"))\n", - "\n", - "# Data cleaning\n", - "# remove last row\n", - "nrow <-dim(OD_death_S)[1]\n", - "OD_death_S <- OD_death_S[1:(nrow-1),]\n", - "# The population is the aggregation over ten years (09-18)\n", - "OD_death_S$pop <- OD_death_S$pop/10\n", - "# remove the District of Columbia, only 48 State left in the data frame\n", - "OD_death_S <- OD_death_S[!(OD_death_S$STATEFP==\"11\"), ]\n", - "# convert the state full name into 2 letter abbreviation\n", - "OD_death_S$state <- state.abb[match(OD_death_S$state,state.name)]\n", - "\n", - "# Merge the MOUD count by state table with state level drug related death rate table\n", - "MOUD_death_pop <- merge(merged_df, OD_death_S, by='state', all.y=TRUE)\n", - "\n", - "#Calculate the rate of each MOUD category per 100K population\n", - "MOUD_death_pop$methRt <- (MOUD_death_pop$methadone/MOUD_death_pop$pop)* 100000\n", - "MOUD_death_pop$bupreRt <- (MOUD_death_pop$buprenorphine/MOUD_death_pop$pop)* 100000\n", - "MOUD_death_pop$nalRt <- (MOUD_death_pop$naltrexone/MOUD_death_pop$pop)* 100000\n", - "MOUD_death_pop[1:5,]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "MOUD_death_pop[,c(\"rawDeathRt\",\"methRt\",\"bupreRt\",\"nalRt\")] %>% summary()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "* Two states (SD and WY) have zero methadone providers.\n", - "* Naltrexone provider rate across all states is much higher (3.227 per 100K pop) compared to methadone (0.5169 per 100K pop) and buprenorphine provider rate (1.54 per 100K pop).\n", - "* The drug-related death rate across all states has an average of 13.85 per 100K pop\n", - "\n", - "Below is a plot of calculated MOUDs rate and drug related death rate by state. We highlighted the top 5 states for each value (state methadone rate, state buprenorphine rate, state naltrexone rate, and drug related death rate)." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Prepare the dataframe for bar ploting\n", - "# Make the 'state' column as row names \n", - "MOUD_death_pop2 <- MOUD_death_pop[,-1]\n", - "rownames(MOUD_death_pop2) <- as.character(MOUD_death_pop[,1])\n", - "# Convert datafram to matrix\n", - "MOUD_death_pop3 <-as.matrix(sapply(MOUD_death_pop2, as.numeric))\n", - "rownames(MOUD_death_pop3) <- as.character(MOUD_death_pop[,1])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Find the top 5 states in drug related death rate, methadone rate, buprenorphine rate, and naltrexone rate\n", - "death_top5 <- MOUD_death_pop %>% arrange(desc(rawDeathRt)) %>% subset(select=state) %>% head(n=5) %>% pull() %>% as.character()\n", - "methadone_top5<- MOUD_death_pop %>% arrange(desc(methRt)) %>% subset(select=state) %>% head(n=5) %>% pull() %>% as.character()\n", - "buprenorphine_top5<- MOUD_death_pop %>% arrange(desc(bupreRt)) %>% subset(select=state) %>% head(n=5) %>% pull() %>% as.character()\n", - "naltrexone_top5<- MOUD_death_pop %>% arrange(desc(nalRt)) %>% subset(select=state) %>% head(n=5) %>% pull() %>% as.character()\n", - "\n", - "# Highlight the top 5 states in drug related death rate, methadone provider rate,\n", - "# buprenorphine provider rate, and naltrexone provider rate\n", - "state_vector <- MOUD_death_pop['state'] %>% pull() %>% as.character()\n", - "death_col <- rep(c(\"#C3C3C3\"),each=48)\n", - "death_col[state_vector %in% death_top5] <- \"#FF0000\"\n", - "methadone_col <- rep(c(\"#C3C3C3\"),each=48)\n", - "methadone_col[state_vector %in% methadone_top5] <- \"#4C00FFFF\"\n", - "buprenorphine_col <- rep(c(\"#C3C3C3\"),each=48)\n", - "buprenorphine_col[state_vector %in% buprenorphine_top5] <- \"#00FF4DFF\"\n", - "naltrexone_col <- rep(c(\"#C3C3C3\"),each=48)\n", - "naltrexone_col[state_vector %in% naltrexone_top5] <- \"#BDFF00FF\"\n", - "\n", - "# Adjust plots arrangement and sizes\n", - "options(repr.plot.width=17, repr.plot.height=12)\n", - "par(mfrow = c(4,1))\n", - "\n", - "barplot(MOUD_death_pop3[,8], main=\"Methadone Provider Rate by State\",cex.main=2,\n", - " ylab=\"Rate per 100K\",col = methadone_col, ylim=c(0, 1.8), yaxt = \"n\")\n", - "axis(2,at=seq(0, 1.8, by=0.2),labels=TRUE)\n", - "\n", - "barplot(MOUD_death_pop3[,9], main=\"Buprenorphine Provider Rate by State\",cex.main=2,\n", - " ylab=\"Rate per 100K\",col = buprenorphine_col, ylim=c(0, 4.7), yaxt = \"n\")\n", - "axis(2,at=seq(0,4.7, by=1),labels=TRUE)\n", - "\n", - "barplot(MOUD_death_pop3[,10], main=\"Naltrexone Provider Rate by State\",cex.main=2,\n", - " ylab=\"Rate per 100K\",col = naltrexone_col, ylim=c(0, 7), yaxt = \"n\")\n", - "axis(2,at=seq(0,7, by=1),labels=TRUE)\n", - "\n", - "barplot(MOUD_death_pop3[,7], main=\"Drug Related Death Rate by State\",cex.main=2,\n", - " ylab=\"Rate per 100K\",col = death_col, ylim=c(0, 30), yaxt = \"n\")\n", - "axis(2,at=seq(0, 30, by=5),labels=TRUE)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "* **West Virginia, New Mexico, Nevada, Pennsylvania, and Kentucky** (marked in red) are the leading states in drug-related death rate. \n", - "* **Rhode island** is the leading state in methadone rate, followed by Delaware, Maryland, Vermont, and Connecticut (marked in blue). **Maine** and **Utah** have the highest rate of Buprenorphine provider rate (marked in green) and naltrexone provider rate (marked in yellow), respectively.\n", - "* **South Dakota and Wyoming** have **zero** methadone providers within the state. However, Wyoming isn't one of the states with the lowest drug-related death rate, which indicates a demand for opioid use disorder (OUD) treatment to be filled.\n", - "* Among the top five states with the highest drug-related death rate, **Kentucky and Pennsylvania** are the only two states that have relatively higher naltrexone provider rate. **West Virginia, New Mexico, and Nevada** have a low provider rate for all three MOUD categories.\n", - "* The figure above revealed noteworthy disparities between drug-related death rate and OUD treatment capacity across all states of the US. Opioids are currently the main driver of drug overdose deaths([CDC source](https://www.cdc.gov/drugoverdose/deaths/index.html)). However, **scarcity of MOUD providers**, which plays a crucial role in OUD treatment, has been noted in the states that suffer the most from substance abuse.\n", - "\n", - "## MOUD providers that offer more than one category\n", - "\n", - "As mentioned above, a MOUDs provider can appear more than once in the dataframe because it can prescribe multiple MOUD categories. Next, we tried to extract unique MOUD providers from original dataset and create a new column called `all_meds` which includes all the MOUDs that each uique provider can prescribe." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Some of the provider are able to prescribe more than one category of MOUD\n", - "# Extract unique provider and create a new variable for all categories of MOUD that each provider is able to prescribe\n", - "moud_uniq <- moud_noduplicate %>% arrange(desc(full_address),desc(category)) %>% group_by(full_address) %>% mutate(all_meds = paste0(category, collapse = \",\")) \n", - "moud_uniq <- moud_uniq %>% distinct(full_address, .keep_all=TRUE)\n", - "moud_uniq[1:5,c(16,17)]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Below is a summary count table for the variable `all_meds`." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# The counts of MOUD providers that offer multiple MOUD categories\n", - "moud_uniq %>% group_by(all_meds) %>% summarise(n = n()) %>% arrange(desc(n))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "* The number of unique MOUD providers in the US is **10,680** in this dataset.\n", - "* There are only **486 unique MOUD providers (< 5%)** that can offer all three categories of MOUD.\n", - "* As expected, the naltrexone providers alone (**6,141**) account for over half of all the unique MOUD providers in the US, given the fact that naltrexone is not classified as a controlled substance.\n", - "* Because naltrexone treatment requires full detoxification, initiating treatment among active opioid users is more difficult with this treatment approach.\n", - "* Buprenorphine, a partial opioid agonist, is most widely used in combination with the short-acting opiate antagonist naltrexone. The commercial brand for this combined medication is Suboxone. There are **2,470** MOUD providers across the country that can offer both buprenorphine and naltrexone.\n", - "* Both methadone and buprenorphine can be used as maintenance medications. At the doses prescribed, maintenance medications can minimize withdrawal symptoms and cravings in the patient without producing a euphoric high. Because there is a risk of diversion to the illicit market, both medications are classified as the controlled substance. There are only **1,457 providers (13.6%)** out of all unique MOUD providers that can prescribe methadone.\n", - "\n", - "## MOUDs providers distribution at county level across the United States\n", - "\n", - "We first calcualted MOUDs rate in each category at county level. Below is the `shp` file that was used to define county boundaries on the map." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Read the shape fiel of US counties\n", - "county_sf <- st_read(\"counties2018.shp\")\n", - "\n", - "# Show first 5 counties from IL in county shapefile \n", - "county_sf %>% filter(STATEFP==\"17\") %>% head(n=5)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "dim(county_sf)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "* There are 3142 counties in the county shape file\n", - "\n", - "We created a dataframe with MOUDS provider counts in each category at county level, and then merged it with the county shape (`shp`) dataframe. Notice that there are a lot of counties in the US with no MOUD provider." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# calculate the count of MOUD in each category within each county\n", - "methadone_county <- moud_noduplicate %>% filter(category==\"methadone\") %>% group_by(countyGEOID) %>% tally()\n", - "buprenorphine_county <- moud_noduplicate %>% filter(category==\"buprenorphine\") %>% group_by(countyGEOID) %>% tally()\n", - "naltrexone_county <- moud_noduplicate %>% filter(category==\"naltrexone/vivitrol\") %>% group_by(countyGEOID) %>% tally()\n", - "colnames(methadone_county)[2]<-\"methadone_count\"\n", - "colnames(buprenorphine_county)[2]<-\"buprenorphine_count\"\n", - "colnames(naltrexone_county)[2]<-\"naltrexone_count\"\n", - "\n", - "# merge the count of MOUD providers with the county_sf \n", - "county_sf_moud <- merge(county_sf, methadone_county, by.x='GEOID', by.y=\"countyGEOID\", all.x=TRUE) %>% merge(buprenorphine_county, by.x='GEOID', by.y=\"countyGEOID\", all.x=TRUE) %>% merge(naltrexone_county, by.x='GEOID', by.y=\"countyGEOID\", all.x=TRUE)\n", - "county_sf_moud %>% head(n=5)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### How many counties have no MOUD providers under certain category\n", - "\n", - "Below is a summary table of MOUDs counts at county level in the US." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Print the summary of columns of methadone, buprenorphine, and naltrexone counts \n", - "summary(county_sf_moud[,c(\"methadone_count\",\"buprenorphine_count\",\"naltrexone_count\")] %>% st_set_geometry(NULL))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "* Out of 3,142 counties, 2,529 counties have no methadone providers, 2,065 counties have no buprenorphine providers, and 1,661 counties have no naltrexone providers.\n", - "\n", - "### How many counties don't have any MOUD provider\n", - "\n", - "We also calcualted the number of counties in the US don't have any MOUDs provider." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# combine county level moud providers \n", - "merged_county_moud <- merge(methadone_county, buprenorphine_county, by='countyGEOID', all=TRUE) %>% merge(naltrexone_county, by='countyGEOID', all=TRUE)\n", - "3142-dim(merged_county_moud)[1]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "* Out of 3,142 counties, 1,540 counties don't have any MOUD providers (methadone, buprenorphine, or naltrexone)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Unique MOUD providers distribution at county level\n", - "\n", - "We counted the unique MOUDs providers in each county across the country. We merged this dataframe with another table of drug related death rate at county level, which includes estimated county population. The population column was then used to calcualte the MOUDs rate (unique providers) in each county." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Clean up the unique moud dataset by removing the MOUD without countyGEOID\n", - "# For instance county from Puerto Rico doesn't have county GEOID\n", - "moud_uniq_subset <- moud_uniq[!(is.na(moud_uniq$countyGEOID)),]\n", - "\n", - "moud_uniq_county_count <- moud_uniq_subset %>% group_by(countyGEOID)%>% tally()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Read county level drug-related death rate file\n", - "OD_death_c <- read.csv(\"Health01_C.csv\",\n", - " stringsAsFactors=FALSE, colClasses=c(\"COUNTYFP\"=\"character\", \"state.code\"=\"character\"))\n", - "\n", - "OD_death_c$state.code <- str_pad(OD_death_c$state.code, 2, pad = \"0\")\n", - "OD_death_c$COUNTYFP <- str_pad(OD_death_c$COUNTYFP, 5, pad = \"0\")\n", - "\n", - "# The Population of each county is an aggrevation over 10 years (09-18)\n", - "OD_death_c$pop <- OD_death_c$pop/10\n", - "OD_death_c[1:5,]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Calculate the unique MOUD providers rate per 100K population in each county\n", - "OD_death_c_uniq_moud <- merge(OD_death_c, moud_uniq_county_count, by.x='COUNTYFP', by.y='countyGEOID', all.x=TRUE)\n", - "colnames(OD_death_c_uniq_moud)[8] <- \"unique_moud\"\n", - "\n", - "OD_death_c_uniq_moud$moud_rate <- (OD_death_c_uniq_moud$unique_moud/OD_death_c_uniq_moud$pop)*100000" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "OD_death_c_uniq_moud[!(is.na(OD_death_c_uniq_moud$unique_moud)),] %>% arrange(desc(moud_rate)) %>% head(n=5)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "* The county with the highest MOUD rate (56.9 MOUD providers per 100K population) is **Lawrence County, Kentucky**.\n", - "* The top counties with high MOUD rate also have high drug-related death rate as shown above.\n", - "\n", - "We then plotted the unique MOUD provider rate in each county below. The drug related death rate at county level was also plotted to show the disparities between drug-related death rate and OUD treatment capacity." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Plot county level moud rate and drug related death rate on map\n", - "\n", - "# merge with county_sf dataframe\n", - "county_sf_uniq_moud <- merge(county_sf, OD_death_c_uniq_moud, by.x='GEOID', by.y=\"COUNTYFP\", all.x=TRUE)\n", - "\n", - "# Two states and DC to exclude from the map for display\n", - "exclude_states <- c(\"02\",\"11\",\"15\")\n", - "county_sf_uniq_moud_subset <- county_sf_uniq_moud[!(county_sf_uniq_moud$STATEFP %in% exclude_states),]\n", - "\n", - "# Read the state shape file for plotting state boundaries\n", - "state_sf <- st_read(\"states2018.shp\")\n", - "state_sf_subset <- state_sf[!(state_sf$STATEFP %in% exclude_states),]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Plot county level moud rate and death rate\n", - "options(repr.plot.width=17, repr.plot.height=12)\n", - "\n", - "tmap_mode(\"plot\")\n", - "tm_moud_unique <- tm_shape(county_sf_uniq_moud_subset) + tm_borders(alpha = 0.3) +\n", - " tm_polygons(\"moud_rate\", style=\"quantile\",pal=\"BuPu\",\n", - " title = \"Moud Provider Rate per 100K\") +\n", - " tm_shape(state_sf_subset) + tm_borders(lwd=1.5) + tm_text(\"STUSPS\", size=1.5)+\n", - " tm_layout(legend.stack = \"horizontal\") \n", - "\n", - "tm_death_rate<-tm_shape(county_sf_uniq_moud_subset) + tm_borders(alpha = 0.3) +\n", - " tm_polygons(\"rawDeathRt\", pal=\"YlOrRd\", style=\"quantile\"\n", - " , title = \"Drug Related Death Rate per 100K\") +\n", - " tm_shape(state_sf_subset) + tm_borders(lwd = 1.5) + tm_text(\"STUSPS\", size=1.5) +\n", - " tm_layout(legend.stack = \"horizontal\")\n", - "\n", - "tmap_arrange(tm_moud_unique, tm_death_rate)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "* The county level drug-related death rate on the map revealed the severity and prevalence of drug abuse along the **Appalachian regions**. \n", - "* A high drug -elated death rate is also observed in a large amount of counties in the **west region of the US**.\n", - "* The disparities between drug-related death rate and OUD treatment capacity are noted for several states from the figure above. For some states, a high death rate and low moud provider rate have been seen in the majorites of the counties, such as **New Mexico, Nevada, Oklahoma, and Tennessee**." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### MOUD rate and drug related death rate of Appalachian counties\n", - "\n", - "The Appalachian region suffers a higher opioid overdose mortality rate comapred to the rest of the country. Below shows zoomed-in plots of unique MOUD providers rate and drug related death rate of Appalacgian counties on map." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Download a list of counties that belong to the Appalachian region\n", - "appalachian_counties <-read_csv(\"https://gist.githubusercontent.com/akanik/979b38bfd3afa797ec33944fac7e26d7/raw/491add919d0ba147dc0fcc1616575affe5371e3e/arc-gov-appal-counties.csv\")\n", - "appalachian_counties <- as.data.frame(appalachian_counties)\n", - "appalachian_counties$county[appalachian_counties$county==\"De Kalb\"] <- \"DeKalb\"\n", - "appalachian_counties$county <- paste(appalachian_counties$county, \",\",appalachian_counties$state)\n", - "\n", - "# Generate a translation table between county, state and GEOID\n", - "county_fips <- county_sf[,c('STATEFP','GEOID','NAME')] %>% st_set_geometry(NULL)\n", - "state_fips <- state_sf[,c('GEOID','NAME')] %>% st_set_geometry(NULL)\n", - "colnames(state_fips)[2] <- \"state_name\" \n", - "county_fips <- merge(county_fips, state_fips, by.x='STATEFP', by.y='GEOID', all.x=TRUE)\n", - "county_fips$county<- paste(county_fips$NAME, \",\", county_fips$state_name)\n", - "\n", - "# Add GEOID to the Appalachian dataframe\n", - "appalachian_counties_fips <- merge(appalachian_counties, county_fips, \n", - " by='county', all.x=TRUE)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Filter the county_sf_uniq_moud_subset based on the Appalachian region\n", - "appalachian_county_sf_uniq_moud <- county_sf_uniq_moud_subset[(county_sf_uniq_moud_subset$GEOID %in% appalachian_counties_fips$GEOID),]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Plot Appalachian counties on map with MOUD rate and drug-related death rate\n", - "options(repr.plot.width=17, repr.plot.height=12)\n", - "\n", - "tmap_mode(\"plot\")\n", - "tm_moud_unique_app <- tm_shape(appalachian_county_sf_uniq_moud) + tm_borders(alpha = 0.3) +\n", - " tm_polygons(\"moud_rate\", style=\"quantile\",pal=\"BuPu\",\n", - " title = \"Moud Provider Rate per 100K\") +\n", - " tm_shape(state_sf_subset) + tm_borders(lwd=1.5) + tm_text(\"STUSPS\", size=1.5)+\n", - " tm_layout(legend.outside=TRUE,legend.position=c(\"right\", \"bottom\")) \n", - "\n", - "tm_death_rate_app<-tm_shape(appalachian_county_sf_uniq_moud) + tm_borders(alpha = 0.3) +\n", - " tm_polygons(\"rawDeathRt\", pal=\"YlOrRd\", style=\"quantile\"\n", - " , title = \"Drug Related Death Rate per 100K\") +\n", - " tm_shape(state_sf_subset) + tm_borders(lwd = 1.5) + tm_text(\"STUSPS\", size=1.5) +\n", - " tm_layout(legend.outside=TRUE,legend.position=c(\"right\", \"bottom\"))\n", - "\n", - "tmap_arrange(tm_moud_unique_app, tm_death_rate_app)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "* The Appalachian region suffers a 72 percent higher opioid overdose mortality rate compared to the non-Appalachian counties throughout the United States([Source](https://oig.hhs.gov/oei/reports/OEI-05-19-00410.asp)). The zoomed-in visualization of the Appalachian region revealed a cluster of counties with a noteworthy high death rate around the tristate area (east of KY, southwest of WV, and west of VA).\n", - "* Almost every county in the south of West Virginia is found with a high drug-related death rate. However, the low capacity of MOUD providers is noted in the majority of the southern counties of WV. \n", - "* It is noteworthy to mention that a lot of counties along the Appalachian region have no MOUD providers (marked in grey as Missing)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "summary(appalachian_county_sf_uniq_moud[,c(\"moud_rate\", \"rawDeathRt\")], na.rm=TRUE)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "* Among over 400 Appalachian counties, a total of 153 Appalachian counties don't have any MOUD provider (nearly 1/3). \n", - "* The average drug-related death rate in Appalachian counties is 20.76 per 100K population." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Identifying high risk counties with high drug related death rate and low capacity of MOUDs\n", - "\n", - "Below is the summary of drug related death rate and unique MOUDs rate at county level. We then used the medium number as threshold to identify the high risk counties in the US." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "OD_death_c_uniq_moud[,c(\"rawDeathRt\", \"moud_rate\")] %>% summary(na.rm=TRUE)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "* The mean of the county level drug-related death rate (15.37) and the mean of the county level MOUD provider rate (5.4243) will be used as the threshold to identify high risk counties. \n", - "* Please note that there are 960 counties that don't have any MOUD provider. The mean of MOUD rate at the county level was calculated based on counties with at least one provider.\n", - "\n", - "We calculated how many counties in the US were considered as high risk county using the threshold mentioned above." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# The counties with moud_rate as NA means there is no moud provider within the county\n", - "county_sf_uniq_moud$moud_rate[is.na(county_sf_uniq_moud$moud_rate)] <- 0\n", - "\n", - "high_risk_counties_sf <- county_sf_uniq_moud[!(is.na(county_sf_uniq_moud$rawDeathRt)), ] %>% filter(moud_rate <=5.4243 & rawDeathRt >=15.37)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "high_risk_counties_sf %>% dim()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Below shows how many states have at least one high risk county and the leading states with the highest nunber of high risk counties." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "high_risk_counties_sf %>% group_by(state) %>% tally() %>% dim()\n", - "high_risk_counties_sf %>% group_by(state) %>% tally() %>% arrange(desc(n)) %>% head(n=5)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "* There are a total of 675 high risk counties (high drug related death rate and low MOUD capacity) across 46 states. \n", - "* Tennessee(TN), Oklahoma(OK), Georgia(GA), Kentucky(KY), and Texas(TX) are the leading states with the highest number of high risk counties.\n", - "* The State of Tennessee has the most high risk counties from this analysis. A large number of Tennessee counties with high drug-related death rate have no MOUD provider." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We summed up the population of all high risk counties from the same state, and calcualted the high risk population percentage for each state. The table below shows the leading states with highest population percentage affected by the high risk of MOUDs accessibility." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "high_risk_pop <- high_risk_counties_sf %>% group_by(state) %>% summarise(hs_pop = sum(pop)) %>% st_set_geometry(NULL)\n", - "high_risk_pop$state <- state.abb[match(high_risk_pop$state,state.name)]\n", - "high_risk_pop <- merge(high_risk_pop, OD_death_S[,c(\"state\",\"pop\")], by.x=\"state\", by.y=\"state\", all.x=TRUE)\n", - "\n", - "# Calculate the percentage of population in high risk counties\n", - "high_risk_pop$hs_percent <- (high_risk_pop$hs_pop/high_risk_pop$pop)*100\n", - "\n", - "# Summary of high risk population percent\n", - "summary(high_risk_pop$hs_percent, na.rm=TRUE)\n", - "# Show states with highest and low portion of high risk county population\n", - "high_risk_pop %>% arrange(desc(hs_percent)) %>% head()\n", - "high_risk_pop %>% arrange(hs_percent) %>% head()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "* Among states with high risk counties, an average of 28.61% state population is affected by a high drug-related death rate and low MOUD capacity.\n", - "* Over 90% of the population in Nevada is found in high risk counties. Other leading states are New Mexico (NM) (73.83%), Oklahoma(73.72%), Arizona (65.0%), Michigan (62%) and WV (57%). \n", - "* Only 0.25% of the IL populations are found in high risk counties. Other states with a small portion of population in high risk counties are Nebraska, North Dakota, South Dakota, New York, and Texas.\n", - "\n", - "We then plotted these high risk counties on the map. Each dot represents a high risk county on the map. The size and the color of the dot coresponds to the drug related death rate of higher risk county." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Three states to exclude from the map\n", - "exclude_states <- c(\"02\",\"11\",\"15\")\n", - "high_risk_counties_sf_subset <- high_risk_counties_sf[!(high_risk_counties_sf$state.code %in% exclude_states),]\n", - "\n", - "# Plot Appalachian counties on map with MOUD rate and drug related death rate\n", - "options(repr.plot.width=20, repr.plot.height=12)\n", - "\n", - "tmap_mode(\"plot\")\n", - "\n", - "tm_high_risk_death<-tm_shape(high_risk_counties_sf_subset) + tm_borders(alpha = 0.3) +\n", - " tm_bubbles(size=\"rawDeathRt\", alpha=0.8, col = \"rawDeathRt\", pal=\"YlOrRd\", \n", - " style=\"quantile\") +\n", - " tm_shape(state_sf_subset) + tm_borders(lwd = 1.5) + tm_text(\"STUSPS\", size=1.5) +\n", - " tm_layout(legend.stack = \"horizontal\")\n", - "\n", - "tmap_arrange(tm_high_risk_death)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "* The map of high risk counties (high drug-related death rate and low MOUD capacity) show a huge cluster of high risk counties in the southwest area of the Appalachian region (**Kentucky, Tennessee, and Georgia**). \n", - "* In the south-central region of US, **Oklahoma** is the leading state with the highest number of high risk counties.\n", - "* Higher density of high risk counties is also observed in East North Central states, such as **Michigan, Indiana, and Ohio**.\n", - "\n", - "## Key takeaways\n", - "* This analysis revealed noteworthy disparities between drug-related death rate and MOUD treatment capacity in **the Appalachian region, south region, and pacific region of the United States**.\n", - "* Over 80% of the counties don't have any methadone providers. Half of the counties in the US don't have any moud providers. \n", - "* Both methadone and buprenorphine have shown promising results as an opioid addiction maintenance medication in clinical trials. However, we've seen low accessibility of providers for both medications, especially methadone, across the states. \n", - "\n", - "## Additional resources for analyzing OEPS data\n", - "\n", - "* [Opioid Environment Toolkit](https://www.jcoinctc.org/resources/opioid-environment-toolkit/)\n", - "\n", - "The Center for Spatial Data Science at UChicago has created an Opioid Environment Toolkit. This toolkit provides an introduction to GIS and spatial analysis for opioid environment applications that allows researchers, analysts, and practitioners to support their communities with better data analytics and visualization services.\n", - "\n", - "* [Jupyter Notebook example using Opioid Environment Toolkit](https://healdata.org/dashboard/Public/notebooks/Opioid_Environment_Toolkit_And_OEPS_R.html)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "R", - "language": "R", - "name": "ir" - }, - "language_info": { - "codemirror_mode": "r", - "file_extension": ".r", - "mimetype": "text/x-r-source", - "name": "R", - "pygments_lexer": "r", - "version": "4.1.0" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/BRH-notebooks/combined_demos/JCOIN_Public_Policy_Changes_Modified.ipynb b/BRH-notebooks/combined_demos/JCOIN_Public_Policy_Changes_Modified.ipynb index b142833c..345b7a47 100644 --- a/BRH-notebooks/combined_demos/JCOIN_Public_Policy_Changes_Modified.ipynb +++ b/BRH-notebooks/combined_demos/JCOIN_Public_Policy_Changes_Modified.ipynb @@ -273,6 +273,9 @@ }, "outputs": [], "source": [ + "import warnings\n", + "warnings.simplefilter(action='ignore', category=FutureWarning)\n", + "\n", "import pandas as pd" ] }, @@ -305,12 +308,12 @@ }, "outputs": [], "source": [ - "!gen3 drs-pull object dg.6VTS/5200158e-e9fe-44ef-96c9-e89ecd402fc4\n", - "!gen3 drs-pull object dg.6VTS/2b83e419-8d3d-4569-b9a1-a52ecd387cba\n", - "!gen3 drs-pull object dg.6VTS/a0a8785a-8663-47b9-95ea-a1813612a2f1\n", - "!gen3 drs-pull object dg.6VTS/abe9cd49-fc86-4c9b-b9d0-f8c0280d8aaa\n", - "!gen3 drs-pull object dg.6VTS/b7974ffe-2e46-47cf-9d57-4d8900d7a40f\n", - "!gen3 drs-pull object dg.6VTS/dca15d95-aac5-4879-88cb-3a740398f26c" + "!gen3 --commons_url jcoin.datacommons.io drs-pull object dg.6VTS/5200158e-e9fe-44ef-96c9-e89ecd402fc4\n", + "!gen3 --commons_url jcoin.datacommons.io drs-pull object dg.6VTS/2b83e419-8d3d-4569-b9a1-a52ecd387cba\n", + "!gen3 --commons_url jcoin.datacommons.io drs-pull object dg.6VTS/a0a8785a-8663-47b9-95ea-a1813612a2f1\n", + "!gen3 --commons_url jcoin.datacommons.io drs-pull object dg.6VTS/abe9cd49-fc86-4c9b-b9d0-f8c0280d8aaa\n", + "!gen3 --commons_url jcoin.datacommons.io drs-pull object dg.6VTS/b7974ffe-2e46-47cf-9d57-4d8900d7a40f\n", + "!gen3 --commons_url jcoin.datacommons.io drs-pull object dg.6VTS/dca15d95-aac5-4879-88cb-3a740398f26c" ] }, { @@ -1238,6 +1241,14 @@ "source": [ "From this animation, we can see that California, Colorado, and Pennsylvania had the most policy changes enacted in this timeframe. We see that Maryland was the first to enact a policy change after the pandemic started. 29 states did not enact any policy changes during the pandemic, while 21 states enacted at least one change during this time. " ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8397e345-a6c7-4bd1-a0a2-359a9186ec00", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { @@ -1256,7 +1267,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.6" + "version": "3.9.20" } }, "nbformat": 4, diff --git a/BRH-notebooks/combined_demos/JCOIN_Tracking_Opioid_Stigma.ipynb b/BRH-notebooks/combined_demos/JCOIN_Tracking_Opioid_Stigma.ipynb index f8b2dfc0..85ced868 100644 --- a/BRH-notebooks/combined_demos/JCOIN_Tracking_Opioid_Stigma.ipynb +++ b/BRH-notebooks/combined_demos/JCOIN_Tracking_Opioid_Stigma.ipynb @@ -35,6 +35,9 @@ "metadata": {}, "outputs": [], "source": [ + "import warnings\n", + "warnings.simplefilter(action='ignore', category=FutureWarning)\n", + "\n", "import os\n", "import pandas as pd\n", "import numpy as np\n", @@ -65,17 +68,19 @@ "outputs": [], "source": [ "# Pull file objects using the Gen3 SDK\n", - "!gen3 drs-pull object dg.6VTS/b96018c5-db06-4af8-a195-28e339ba815e\n", - "!gen3 drs-pull object dg.6VTS/6d3eb293-8388-4c5d-83ef-d0c2bd5ba604\n", - "!gen3 drs-pull object dg.6VTS/6f9a924f-9d83-4597-8f66-fe7d3021729f\n", - "!gen3 drs-pull object dg.6VTS/0e618fef-e359-424b-b844-0ca320105176" + "!gen3 --commons_url jcoin.datacommons.io drs-pull object dg.6VTS/b96018c5-db06-4af8-a195-28e339ba815e\n", + "!gen3 --commons_url jcoin.datacommons.io drs-pull object dg.6VTS/6d3eb293-8388-4c5d-83ef-d0c2bd5ba604\n", + "!gen3 --commons_url jcoin.datacommons.io drs-pull object dg.6VTS/6f9a924f-9d83-4597-8f66-fe7d3021729f\n", + "!gen3 --commons_url jcoin.datacommons.io drs-pull object dg.6VTS/0e618fef-e359-424b-b844-0ca320105176" ] }, { "cell_type": "code", "execution_count": null, "id": "0b4ca81f", - "metadata": {}, + "metadata": { + "scrolled": true + }, "outputs": [], "source": [ "# Read data using pyreadstat library\n", @@ -276,8 +281,9 @@ "sns.lineplot(ax = ax2,\n", " data = sub_df_1,\n", " x = 'time-point',\n", - " y = 'score_and_weight',\n", - " estimator = weighted_mean\n", + " y = 'stigma_scale_score',\n", + " weights='weight',\n", + " estimator = 'mean'\n", " #hue = 'personaluse_ever'\n", " )\n", "\n", @@ -330,9 +336,10 @@ "sns.lineplot(ax = ax2,\n", " data = sub_df_1,\n", " x = 'time-point',\n", - " y = 'score_and_weight',\n", - " hue = 'personaluse_ever',\n", - " estimator = weighted_mean\n", + " y = 'stigma_scale_score',\n", + " weights='weight',\n", + " estimator = 'mean',\n", + " hue = 'personaluse_ever'\n", " )\n", "\n", "ax2.set_title('Weighted')\n", @@ -392,9 +399,10 @@ "sns.lineplot(ax = ax2,\n", " data = sub_df_1,\n", " x = 'time-point',\n", - " y = 'score_and_weight',\n", - " hue = 'region4',\n", - " estimator = weighted_mean\n", + " y = 'stigma_scale_score',\n", + " weights='weight',\n", + " estimator = 'mean',\n", + " hue = 'region4'\n", " )\n", "\n", "ax2.set_title('Weighted')\n", @@ -454,11 +462,14 @@ "sns.lineplot(ax = ax2,\n", " data = sub_df_1,\n", " x = 'time-point',\n", - " y = 'score_and_weight',\n", - " hue = 'age4',\n", - " estimator = weighted_mean\n", + " y = 'stigma_scale_score',\n", + " weights='weight',\n", + " estimator = 'mean',\n", + " hue = 'age4'\n", " )\n", "\n", + "\n", + "\n", "ax2.set_title('Weighted')\n", "ax2.invert_yaxis()\n", "\n", @@ -473,6 +484,14 @@ "plt.subplots_adjust(top=0.80)\n", "plt.show()" ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "30bdcd30-65a1-4805-b71d-648b3e2c5f08", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { @@ -491,7 +510,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.6" + "version": "3.9.20" } }, "nbformat": 4, diff --git a/BRH-notebooks/combined_demos/MIDRC_CT_Scan_Demo.ipynb b/BRH-notebooks/combined_demos/MIDRC_CT_Scan_Demo.ipynb index f0845ed5..5839e807 100644 --- a/BRH-notebooks/combined_demos/MIDRC_CT_Scan_Demo.ipynb +++ b/BRH-notebooks/combined_demos/MIDRC_CT_Scan_Demo.ipynb @@ -29,53 +29,19 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "937e641f-5220-459e-b55e-9b99cb976d8b", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Collecting pydicom\n", - " Downloading pydicom-2.3.0-py3-none-any.whl (2.0 MB)\n", - " |████████████████████████████████| 2.0 MB 69.1 MB/s \n", - "\u001b[?25hInstalling collected packages: pydicom\n", - "Successfully installed pydicom-2.3.0\n", - "Collecting pillow\n", - " Downloading Pillow-9.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.3 MB)\n", - " |████████████████████████████████| 4.3 MB 72.3 MB/s \n", - "\u001b[?25hInstalling collected packages: pillow\n", - "Successfully installed pillow-9.1.0\n", - "Collecting dicom-csv\n", - " Downloading dicom_csv-0.2.3.tar.gz (17 kB)\n", - " Preparing metadata (setup.py) ... \u001b[?25ldone\n", - "\u001b[?25hRequirement already satisfied: pydicom>=2.0<3.0 in /opt/conda/lib/python3.9/site-packages (from dicom-csv) (2.3.0)\n", - "Requirement already satisfied: pandas in /opt/conda/lib/python3.9/site-packages (from dicom-csv) (1.4.1)\n", - "Requirement already satisfied: numpy in /opt/conda/lib/python3.9/site-packages (from dicom-csv) (1.22.2)\n", - "Requirement already satisfied: tqdm in /opt/conda/lib/python3.9/site-packages (from dicom-csv) (4.62.3)\n", - "Requirement already satisfied: python-dateutil>=2.8.1 in /opt/conda/lib/python3.9/site-packages (from pandas->dicom-csv) (2.8.2)\n", - "Requirement already satisfied: pytz>=2020.1 in /opt/conda/lib/python3.9/site-packages (from pandas->dicom-csv) (2021.3)\n", - "Requirement already satisfied: six>=1.5 in /opt/conda/lib/python3.9/site-packages (from python-dateutil>=2.8.1->pandas->dicom-csv) (1.16.0)\n", - "Building wheels for collected packages: dicom-csv\n", - " Building wheel for dicom-csv (setup.py) ... \u001b[?25ldone\n", - "\u001b[?25h Created wheel for dicom-csv: filename=dicom_csv-0.2.3-py3-none-any.whl size=20363 sha256=0f35fd8297a1492046771be159a866bf2e4691c498ef5f83890873a74dc5b8a5\n", - " Stored in directory: /home/jovyan/.cache/pip/wheels/b0/2c/e9/a8ae6bf1f5f087dd84dd2593bf95656bdf0bfd7f6b17c0d962\n", - "Successfully built dicom-csv\n", - "Installing collected packages: dicom-csv\n", - "Successfully installed dicom-csv-0.2.3\n" - ] - } - ], + "outputs": [], "source": [ - "!pip install pydicom\n", - "!pip install pillow\n", - "!pip install dicom-csv" + "!pip install pydicom -q\n", + "!pip install pillow -q\n", + "!pip install dicom-csv -q" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "id": "be7d4148-b13d-41a0-b972-9491880f43af", "metadata": {}, "outputs": [], @@ -85,7 +51,8 @@ "from PIL import Image\n", "import pandas as pd\n", "import os\n", - "from dicom_csv import join_tree" + "from dicom_csv import join_tree\n", + "import zipfile" ] }, { @@ -93,64 +60,50 @@ "id": "767559ac-5e0d-4c21-b592-88ccc9aa2f69", "metadata": {}, "source": [ - "Import data objects of CT scan images using the gen3 SDK" + "Import data objects of CT scan images using the gen3SDK and unzip the files" ] }, { "cell_type": "code", - "execution_count": 3, - "id": "70569c88-ffb4-4cfa-9f57-a518f78a4373", + "execution_count": null, + "id": "b3e9e11c-2b8e-43f1-976e-318fc773458f", "metadata": {}, "outputs": [], "source": [ - "!gen3 drs-pull object dg.MD1R/ea669b5e-ae51-40ba-b375-ed23a9cd1855\n", - "!gen3 drs-pull object dg.MD1R/a745ed98-0cb9-4537-826b-13b2e354e8bb\n", - "!gen3 drs-pull object dg.MD1R/e604979a-c71b-4ec6-b8a0-959837b86384\n", - "!gen3 drs-pull object dg.MD1R/b5cee98d-46ff-4438-aa00-90727a383340\n", - "!gen3 drs-pull object dg.MD1R/8a5a5579-7925-432d-a614-3ed208f1c182\n", - "!gen3 drs-pull object dg.MD1R/33034812-47f3-4c0e-b60b-fa7a2a04ecda\n", - "!gen3 drs-pull object dg.MD1R/5ca987c5-c660-4785-a67d-a3424cc8ec6e\n", - "!gen3 drs-pull object dg.MD1R/44148117-1858-49ef-b30f-d239abfaff80\n", - "!gen3 drs-pull object dg.MD1R/9ea205e8-a774-4318-a323-95eadda9bc5c\n", - "!gen3 drs-pull object dg.MD1R/09ece36f-a0fa-48e8-8fc2-62110eaae570" + "!gen3 --commons_url data.midrc.org drs-pull object dg.MD1R/52ed5c59-1910-499b-a80e-00329209e148" ] }, { - "cell_type": "markdown", - "id": "5dc3a710-c717-4119-a658-1d07adb50f05", + "cell_type": "code", + "execution_count": null, + "id": "6bd5cfc0-f014-44ff-8b3b-c5963780fe3b", "metadata": {}, + "outputs": [], "source": [ - "All 5 data objects are now stored under the folder 'COVID-19-NY-SBU'" + "zip_image_path = 'A840445/1.3.6.1.4.1.14519.5.2.1.99.1071.22152686345791690835528908062918/1.3.6.1.4.1.14519.5.2.1.99.1071.32717876047095240098568067022786.zip'\n", + "\n", + "def unzip_all(zip_filepath, extract_to_dir):\n", + " with zipfile.ZipFile(zip_filepath, 'r') as zip_ref:\n", + " zip_ref.extractall(extract_to_dir)\n", + "\n", + "extract_to_dir = 'COVID-19-NY-SBU'\n", + "unzip_all(zip_image_path, extract_to_dir)" ] }, { "cell_type": "markdown", - "id": "3a99afeb-2651-4a35-b71c-8a44ce0ef103", + "id": "5dc3a710-c717-4119-a658-1d07adb50f05", "metadata": {}, "source": [ - "### View Image" + "All data objects are now stored under the folder 'COVID-19-NY-SBU'" ] }, { - "cell_type": "code", - "execution_count": 4, - "id": "3a67450d-1394-4c1d-af1b-c56b82d0092a", + "cell_type": "markdown", + "id": "3a99afeb-2651-4a35-b71c-8a44ce0ef103", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'COVID-19-NY-SBU/A034518/12-31-1900-CT ABD PELVIS(WITH CHEST IMAGES) W IV CON-21869/4.000000-Lung 1.0 CE-04129/1-273.dcm'" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], "source": [ - "image_path = 'COVID-19-NY-SBU/A034518/12-31-1900-CT ABD PELVIS(WITH CHEST IMAGES) W IV CON-21869/4.000000-Lung 1.0 CE-04129/1-273.dcm'\n", - "image_path" + "### View Image" ] }, { @@ -163,11 +116,12 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "id": "80f91180-6084-42cc-97f5-5520b4676ffe", "metadata": {}, "outputs": [], "source": [ + "image_path = 'COVID-19-NY-SBU/1.3.6.1.4.1.14519.5.2.1.99.1071.32717876047095240098568067022786/1-105.dcm'\n", "ds = pydicom.dcmread(image_path)" ] }, @@ -181,27 +135,10 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "id": "eb2a2b59-d26b-496e-986b-abd20c97ace1", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([[-2048., -2048., -2048., ..., -2048., -2048., -2048.],\n", - " [-2048., -2048., -2048., ..., -2048., -2048., -2048.],\n", - " [-2048., -2048., -2048., ..., -2048., -2048., -2048.],\n", - " ...,\n", - " [-2048., -2048., -2048., ..., -2048., -2048., -2048.],\n", - " [-2048., -2048., -2048., ..., -2048., -2048., -2048.],\n", - " [-2048., -2048., -2048., ..., -2048., -2048., -2048.]])" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "new_image = ds.pixel_array.astype(float)\n", "new_image" @@ -217,27 +154,10 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "id": "65180d29-4c48-4e74-abe3-3a966106486d", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([[0, 0, 0, ..., 0, 0, 0],\n", - " [0, 0, 0, ..., 0, 0, 0],\n", - " [0, 0, 0, ..., 0, 0, 0],\n", - " ...,\n", - " [0, 0, 0, ..., 0, 0, 0],\n", - " [0, 0, 0, ..., 0, 0, 0],\n", - " [0, 0, 0, ..., 0, 0, 0]], dtype=uint8)" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "scaled_image = (np.maximum(new_image, 0) / new_image.max()) * 255.0\n", "scaled_image = np.uint8(scaled_image)\n", @@ -254,21 +174,10 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "id": "7d98025e-f429-4106-86a5-9639d9d082a5", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "final_image = Image.fromarray(scaled_image)\n", "final_image.show()" @@ -285,7 +194,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "id": "302f875e-0e95-4fae-83ea-4a729e3829ec", "metadata": {}, "outputs": [], @@ -338,12 +247,12 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "id": "70facdf4-428a-42d2-8dfb-768c1a06ebbe", "metadata": {}, "outputs": [], "source": [ - "image_path = 'COVID-19-NY-SBU/A117394/10-08-1900-CT ABD AND PELVIS WITH IV CONT-39755/9.000000-CTA 0.5 CE-40834/1-0163.dcm'\n", + "image_path = 'COVID-19-NY-SBU/1.3.6.1.4.1.14519.5.2.1.99.1071.32717876047095240098568067022786/1-103.dcm'\n", "dcm_to_png(image_path)" ] }, @@ -357,12 +266,12 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "id": "9b50b421-bea9-49e2-919d-aaf68ac89e20", "metadata": {}, "outputs": [], "source": [ - "image_path = 'COVID-19-NY-SBU/A587516/04-22-1901-CT CHEST WO IV CONT-40216/2.000000-Body 5.0-01241/1-16.dcm'\n", + "image_path = 'COVID-19-NY-SBU/1.3.6.1.4.1.14519.5.2.1.99.1071.32717876047095240098568067022786/1-088.dcm'\n", "dcm_to_jpeg(image_path)" ] }, @@ -376,67 +285,34 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "id": "f43f070e-f566-4b64-9df7-37bacc734bcb", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "image_path = 'COVID-19-NY-SBU/A546520/12-30-1900-CT CHEST PULMONARY ANGIO WITH IV CON-13804/11.000000-CTA 3.000 CE-95792/1-119.dcm'\n", + "image_path = 'COVID-19-NY-SBU/1.3.6.1.4.1.14519.5.2.1.99.1071.32717876047095240098568067022786/1-001.dcm'\n", "view_dicom_image(image_path)" ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "id": "a3df1180-3cfe-49bc-bcdf-3c81f7010229", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "image_path = 'COVID-19-NY-SBU/A770557/12-19-1900-CT CHEST WO IV CONT-97223/5.000000-Lung 1.0-84269/1-127.dcm'\n", + "image_path = 'COVID-19-NY-SBU/1.3.6.1.4.1.14519.5.2.1.99.1071.32717876047095240098568067022786/1-006.dcm'\n", "view_dicom_image(image_path)" ] }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "id": "b27ab66e-f5b4-4d11-b058-9dcc72b344d9", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "image_path = 'COVID-19-NY-SBU/A770557/12-19-1900-CT CHEST WO IV CONT-97223/7.000000-Body 3.000-78395/1-53.dcm'\n", + "image_path = 'COVID-19-NY-SBU/1.3.6.1.4.1.14519.5.2.1.99.1071.32717876047095240098568067022786/1-053.dcm'\n", "view_dicom_image(image_path)" ] }, @@ -458,7 +334,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": null, "id": "58bab749-3d4a-44ab-942c-33a22a7406cb", "metadata": {}, "outputs": [], @@ -478,394 +354,10 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": null, "id": "ef7dde8b-2ffe-4e1f-9edc-657af27b6fbc", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "12-31-1900-CT ABD PELVIS(WITH CHEST IMAGES) W IV CON-21869/4.000000-Lung 1.0 CE-04129/1-273.dcm: : 1it [00:00, 62.59it/s] \n", - "01-01-1901-CT CHEST WO IV CONT-84206/6.000000-Body 3.000-02742/1-034.dcm: : 1it [00:00, 38.58it/s] \n", - "12-19-1900-CT CHEST WO IV CONT-97223/7.000000-Body 3.000-78395/1-53.dcm: : 3it [00:00, 81.01it/s] \n", - "12-23-1900-CT CHEST PULMONARY ANGIO WITH IV CON-62918/5.000000-CTA 15.000 CE-36514/1-008.dcm: : 2it [00:00, 70.16it/s] \n", - "04-22-1901-CT CHEST WO IV CONT-40216/2.000000-Body 5.0-01241/1-16.dcm: : 1it [00:00, 29.41it/s] \n", - "10-08-1900-CT ABD AND PELVIS WITH IV CONT-39755/9.000000-CTA 0.5 CE-40834/1-0163.dcm: : 1it [00:00, 69.65it/s] \n", - "12-30-1900-CT CHEST PULMONARY ANGIO WITH IV CON-13804/11.000000-CTA 3.000 CE-95792/1-119.dcm: : 1it [00:00, 69.88it/s] \n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
AccessionNumberAcquisitionDateAcquisitionNumberAcquisitionTimeAcquisitionTypeBitsAllocatedBitsStoredBodyPartExaminedCTDIvolClinicalTrialTimePointDescription...TotalCollimationWidthWindowCenterWindowWidthXRayTubeCurrentNoErrorPathToFolderFileNameInStackPositionNumberStackIDTemporalPositionIndex
0190012313173550.750SPIRAL1616CHEST3.3Days offset from diagnosis...40.0-550.01600.0143True12-31-1900-CT ABD PELVIS(WITH CHEST IMAGES) W ...1-273.dcmNaNNaNNaN
0190101013013948.750SPIRAL1616CHEST4.1Days offset from diagnosis...40.040.0400.0146True01-01-1901-CT CHEST WO IV CONT-84206/6.000000-...1-034.dcmNaNNaNNaN
0190012193004429.700SPIRAL1616CHEST2.5Days offset from diagnosis...40.0-550.01600.0100True12-19-1900-CT CHEST WO IV CONT-97223/5.000000-...1-127.dcmNaNNaNNaN
1190012193004429.700SPIRAL1616CHEST2.5Days offset from diagnosis...40.040.0400.0119True12-19-1900-CT CHEST WO IV CONT-97223/8.000000-...1-021.dcmNaNNaNNaN
2190012193004429.700SPIRAL1616CHEST2.5Days offset from diagnosis...40.040.0400.0119True12-19-1900-CT CHEST WO IV CONT-97223/7.000000-...1-53.dcmNaNNaNNaN
0190012235003129.050SPIRAL1616CHEST3.3Days offset from diagnosis...40.070.0500.0102True12-23-1900-CT CHEST PULMONARY ANGIO WITH IV CO...1-077.dcmNaNNaNNaN
1190012235003129.050SPIRAL1616CHEST3.3Days offset from diagnosis...40.070.0500.0102True12-23-1900-CT CHEST PULMONARY ANGIO WITH IV CO...1-008.dcmNaNNaNNaN
0190104223111507.900SPIRAL1616CHEST6.9Days offset from diagnosis...40.040.0400.0260True04-22-1901-CT CHEST WO IV CONT-40216/2.000000-...1-16.dcmNaNNaNNaN
0190010085150559.700SPIRAL1616CHEST3.8Days offset from diagnosis...40.070.0500.0100True10-08-1900-CT ABD AND PELVIS WITH IV CONT-3975...1-0163.dcm163.01_1206_000021.0
0190012305013553.850SPIRAL1616ABDOMEN6.4Days offset from diagnosis...40.070.0500.0382True12-30-1900-CT CHEST PULMONARY ANGIO WITH IV CO...1-119.dcmNaNNaNNaN
\n", - "

10 rows × 108 columns

\n", - "
" - ], - "text/plain": [ - " AccessionNumber AcquisitionDate AcquisitionNumber AcquisitionTime \\\n", - "0 19001231 3 173550.750 \n", - "0 19010101 3 013948.750 \n", - "0 19001219 3 004429.700 \n", - "1 19001219 3 004429.700 \n", - "2 19001219 3 004429.700 \n", - "0 19001223 5 003129.050 \n", - "1 19001223 5 003129.050 \n", - "0 19010422 3 111507.900 \n", - "0 19001008 5 150559.700 \n", - "0 19001230 5 013553.850 \n", - "\n", - " AcquisitionType BitsAllocated BitsStored BodyPartExamined CTDIvol \\\n", - "0 SPIRAL 16 16 CHEST 3.3 \n", - "0 SPIRAL 16 16 CHEST 4.1 \n", - "0 SPIRAL 16 16 CHEST 2.5 \n", - "1 SPIRAL 16 16 CHEST 2.5 \n", - "2 SPIRAL 16 16 CHEST 2.5 \n", - "0 SPIRAL 16 16 CHEST 3.3 \n", - "1 SPIRAL 16 16 CHEST 3.3 \n", - "0 SPIRAL 16 16 CHEST 6.9 \n", - "0 SPIRAL 16 16 CHEST 3.8 \n", - "0 SPIRAL 16 16 ABDOMEN 6.4 \n", - "\n", - " ClinicalTrialTimePointDescription ... TotalCollimationWidth WindowCenter \\\n", - "0 Days offset from diagnosis ... 40.0 -550.0 \n", - "0 Days offset from diagnosis ... 40.0 40.0 \n", - "0 Days offset from diagnosis ... 40.0 -550.0 \n", - "1 Days offset from diagnosis ... 40.0 40.0 \n", - "2 Days offset from diagnosis ... 40.0 40.0 \n", - "0 Days offset from diagnosis ... 40.0 70.0 \n", - "1 Days offset from diagnosis ... 40.0 70.0 \n", - "0 Days offset from diagnosis ... 40.0 40.0 \n", - "0 Days offset from diagnosis ... 40.0 70.0 \n", - "0 Days offset from diagnosis ... 40.0 70.0 \n", - "\n", - " WindowWidth XRayTubeCurrent NoError \\\n", - "0 1600.0 143 True \n", - "0 400.0 146 True \n", - "0 1600.0 100 True \n", - "1 400.0 119 True \n", - "2 400.0 119 True \n", - "0 500.0 102 True \n", - "1 500.0 102 True \n", - "0 400.0 260 True \n", - "0 500.0 100 True \n", - "0 500.0 382 True \n", - "\n", - " PathToFolder FileName \\\n", - "0 12-31-1900-CT ABD PELVIS(WITH CHEST IMAGES) W ... 1-273.dcm \n", - "0 01-01-1901-CT CHEST WO IV CONT-84206/6.000000-... 1-034.dcm \n", - "0 12-19-1900-CT CHEST WO IV CONT-97223/5.000000-... 1-127.dcm \n", - "1 12-19-1900-CT CHEST WO IV CONT-97223/8.000000-... 1-021.dcm \n", - "2 12-19-1900-CT CHEST WO IV CONT-97223/7.000000-... 1-53.dcm \n", - "0 12-23-1900-CT CHEST PULMONARY ANGIO WITH IV CO... 1-077.dcm \n", - "1 12-23-1900-CT CHEST PULMONARY ANGIO WITH IV CO... 1-008.dcm \n", - "0 04-22-1901-CT CHEST WO IV CONT-40216/2.000000-... 1-16.dcm \n", - "0 10-08-1900-CT ABD AND PELVIS WITH IV CONT-3975... 1-0163.dcm \n", - "0 12-30-1900-CT CHEST PULMONARY ANGIO WITH IV CO... 1-119.dcm \n", - "\n", - " InStackPositionNumber StackID TemporalPositionIndex \n", - "0 NaN NaN NaN \n", - "0 NaN NaN NaN \n", - "0 NaN NaN NaN \n", - "1 NaN NaN NaN \n", - "2 NaN NaN NaN \n", - "0 NaN NaN NaN \n", - "1 NaN NaN NaN \n", - "0 NaN NaN NaN \n", - "0 163.0 1_1206_00002 1.0 \n", - "0 NaN NaN NaN \n", - "\n", - "[10 rows x 108 columns]" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "base_folder = 'COVID-19-NY-SBU'\n", "metadata = extract_metadata(base_folder)\n", @@ -877,134 +369,43 @@ "id": "075b4095-a104-457b-8283-052a7582602b", "metadata": {}, "source": [ - "Included in this metadata are import pieces of file and patient data, such as the body part examined, the patient's sex, the patient's age, etc. " + "Included in this metadata are import pieces of file and patient data, such as the body part examined and the patient's sex" ] }, { "cell_type": "code", - "execution_count": 18, + "execution_count": null, "id": "19ca1110-857e-4ae9-86e8-2eb6c997e3d5", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Index(['KVP', 'LongitudinalTemporalInformationModified', 'Manufacturer',\n", - " 'ManufacturerModelName', 'Modality', 'PatientAge', 'PatientBirthDate',\n", - " 'PatientComments', 'PatientID', 'PatientIdentityRemoved', 'PatientName',\n", - " 'PatientPosition', 'PatientSex', 'PerformedProcedureStepStartDate',\n", - " 'PerformedProcedureStepStartTime', 'PhotometricInterpretation',\n", - " 'PixelRepresentation', 'PixelSpacing0', 'PixelSpacing1',\n", - " 'PositionReferenceIndicator'],\n", - " dtype='object')" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "metadata.columns[40:60]" ] }, { "cell_type": "code", - "execution_count": 19, + "execution_count": null, "id": "6ba032f9-5a7f-4c84-b84a-4bacd87bba6b", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "0 CHEST\n", - "0 CHEST\n", - "0 CHEST\n", - "1 CHEST\n", - "2 CHEST\n", - "0 CHEST\n", - "1 CHEST\n", - "0 CHEST\n", - "0 CHEST\n", - "0 ABDOMEN\n", - "Name: BodyPartExamined, dtype: object" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "metadata.BodyPartExamined" ] }, { "cell_type": "code", - "execution_count": 20, + "execution_count": null, "id": "db69cae5-062a-4060-a9c2-166c6e15efb9", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "0 F\n", - "0 M\n", - "0 M\n", - "1 M\n", - "2 M\n", - "0 M\n", - "1 M\n", - "0 F\n", - "0 F\n", - "0 M\n", - "Name: PatientSex, dtype: object" - ] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "metadata.PatientSex" ] }, - { - "cell_type": "code", - "execution_count": 21, - "id": "a121d061-98ed-4274-95f0-d68dd0e45ea3", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "0 077Y\n", - "0 074Y\n", - "0 090Y\n", - "1 090Y\n", - "2 090Y\n", - "0 090Y\n", - "1 090Y\n", - "0 079Y\n", - "0 084Y\n", - "0 071Y\n", - "Name: PatientAge, dtype: object" - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "metadata.PatientAge" - ] - }, { "cell_type": "code", "execution_count": null, - "id": "8415b5f3-a194-4f52-a5bc-e570204b2830", + "id": "5224e212-24ce-4d79-b27c-b0cf064f0590", "metadata": {}, "outputs": [], "source": [] diff --git a/BRH-notebooks/combined_demos/MIDRC_Clinical_Data.ipynb b/BRH-notebooks/combined_demos/MIDRC_Clinical_Data.ipynb index f4a6fdf2..d80b908f 100644 --- a/BRH-notebooks/combined_demos/MIDRC_Clinical_Data.ipynb +++ b/BRH-notebooks/combined_demos/MIDRC_Clinical_Data.ipynb @@ -31,13 +31,16 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "1dcd402a-9876-4d96-97e3-0042897507df", "metadata": { "tags": [] }, "outputs": [], "source": [ + "import warnings\n", + "warnings.simplefilter(action='ignore', category=FutureWarning)\n", + "\n", "import gen3\n", "import pandas as pd\n", "import numpy as np\n", @@ -57,31 +60,10 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "id": "f1779322-ffae-4842-8ff6-c527c1a14c6b", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "--2022-09-19 16:06:48-- https://raw.githubusercontent.com/cgmeyer/gen3sdk-python/master/expansion/expansion.py\n", - "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.110.133, 185.199.108.133, 185.199.109.133, ...\n", - "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.110.133|:443... connected.\n", - "HTTP request sent, awaiting response... 200 OK\n", - "Length: 161133 (157K) [text/plain]\n", - "Saving to: ‘/home/jovyan/pd/gen3/expansion.py’\n", - "\n", - " 0K .......... .......... .......... .......... .......... 31% 47.9M 0s\n", - " 50K .......... .......... .......... .......... .......... 63% 33.5M 0s\n", - " 100K .......... .......... .......... .......... .......... 95% 44.8M 0s\n", - " 150K ....... 100% 174M=0.004s\n", - "\n", - "2022-09-19 16:06:48 (42.6 MB/s) - ‘/home/jovyan/pd/gen3/expansion.py’ saved [161133/161133]\n", - "\n" - ] - } - ], + "outputs": [], "source": [ "# Import some custom Python scripts \n", "home_dir = \"/home/jovyan/pd\"\n", @@ -95,37 +77,10 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "id": "4b1feebb-98ed-4964-834d-6b8291ae5fe4", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Getting all project_ids you have access to in the data commons.\n", - "['Open-A1', 'Open-A1_PETAL_REDCORAL', 'Open-R1']\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/jovyan/pd/gen3/expansion.py:213: FutureWarning: pandas.io.json.json_normalize is deprecated, use pandas.json_normalize instead.\n", - " df = json_normalize(res[\"data\"][\"project\"])\n" - ] - }, - { - "data": { - "text/plain": [ - "['Open-A1', 'Open-A1_PETAL_REDCORAL', 'Open-R1']" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "api = 'https://data.midrc.org'\n", "auth = Gen3Auth(api) # authentication class\n", @@ -137,7 +92,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "id": "d034641b-330f-4809-90bf-27a8f95b6b83", "metadata": { "tags": [] @@ -197,97 +152,10 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "id": "67c95aac-7c4a-4920-be5b-7f0ada94d458", "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
covid19_positiveage_groupsexethnicityrace
0No71-80 yrMaleNot Hispanic or LatinoWhite
1No61-70 yrMaleNot Hispanic or LatinoNot Reported
2No71-80 yrMaleNot Hispanic or LatinoWhite
3No51-60 yrMaleNot Hispanic or LatinoBlack or A.A.
4No71-80 yrFemaleNot Hispanic or LatinoNot Reported
\n", - "
" - ], - "text/plain": [ - " covid19_positive age_group sex ethnicity race\n", - "0 No 71-80 yr Male Not Hispanic or Latino White\n", - "1 No 61-70 yr Male Not Hispanic or Latino Not Reported\n", - "2 No 71-80 yr Male Not Hispanic or Latino White\n", - "3 No 51-60 yr Male Not Hispanic or Latino Black or A.A.\n", - "4 No 71-80 yr Female Not Hispanic or Latino Not Reported" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "cases = sub.export_node(program='Open',project='R1',node_type='case',fileformat='tsv')\n", "df = pd.read_csv(StringIO(cases), sep='\\t', header=0)\n", @@ -319,24 +187,12 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "id": "459f5a10-4cab-4a52-9849-e0fa4215e61e", "metadata": { "tags": [] }, - "outputs": [ - { - "data": { - "text/plain": [ - "{'Number of COVID-19 positive subjects': 1385,\n", - " 'Number of COVID-19 negative subjects': 6331}" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "covid_breakdown = {'Number of COVID-19 positive subjects': len(df[df['covid19_positive'] == 'Yes']['covid19_positive']), \n", " 'Number of COVID-19 negative subjects': len(df[df['covid19_positive'] == 'No']['covid19_positive']), }\n", @@ -353,23 +209,12 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "id": "c6b85a43-ba0b-4493-a3b6-704e283f0095", "metadata": { "tags": [] }, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "races = ['Black or A.A.', \n", " 'White', \n", @@ -407,23 +252,12 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "id": "eb73c6b7-4e6d-4b20-9775-1e82bdbf31bd", "metadata": { "tags": [] }, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "ethnicities = ['Not Hispanic or Latino', 'Hispanic or Latino'] \n", "\n", @@ -458,23 +292,12 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "id": "1a01fd47-4dfd-40aa-8736-8affc2dbca3f", "metadata": { "tags": [] }, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "sexes = ['Male', 'Female'] \n", "\n", @@ -507,23 +330,12 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "id": "b89533cd-86cc-40e2-b7ff-be55f9f830a1", "metadata": { "tags": [] }, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "fig = plt.figure()\n", "ax = fig.add_axes([0,0,1,1])\n", @@ -583,7 +395,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.7" + "version": "3.9.20" } }, "nbformat": 4, diff --git a/BRH-notebooks/combined_demos/PDC_clustergram.ipynb b/BRH-notebooks/combined_demos/PDC_clustergram.ipynb index 08b1bc49..c167234c 100644 --- a/BRH-notebooks/combined_demos/PDC_clustergram.ipynb +++ b/BRH-notebooks/combined_demos/PDC_clustergram.ipynb @@ -39,7 +39,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": { "pycharm": { "is_executing": false, @@ -71,7 +71,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": { "pycharm": { "is_executing": false @@ -92,7 +92,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": { "pycharm": { "is_executing": false @@ -116,7 +116,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "metadata": { "pycharm": { "is_executing": false, @@ -143,7 +143,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "metadata": { "pycharm": { "is_executing": false @@ -177,21 +177,13 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": { "pycharm": { "is_executing": false } }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Sending query.\n" - ] - } - ], + "outputs": [], "source": [ "decoded = query_pdc(quant_data_query)\n", "\n", @@ -200,7 +192,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": { "pycharm": { "is_executing": false @@ -220,17 +212,9 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(9591, 207)\n" - ] - } - ], + "outputs": [], "source": [ "# Aliquots are first row, gene names are first column\n", "ga = pd.DataFrame(matrix[1:], columns=matrix[0]).set_index('Gene/Aliquot')\n", @@ -255,7 +239,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "metadata": { "pycharm": { "is_executing": false @@ -276,7 +260,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "metadata": { "pycharm": { "is_executing": false @@ -297,7 +281,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "metadata": { "pycharm": { "is_executing": false @@ -327,38 +311,22 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "metadata": { "pycharm": { "is_executing": false } }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Sending query.\n" - ] - } - ], + "outputs": [], "source": [ "decoded = query_pdc(metadata_query)" ] }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "1\n" - ] - } - ], + "outputs": [], "source": [ "print(len(decoded))\n", "clin_matrix = decoded['data']['clinicalMetadata']\n", @@ -375,7 +343,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "metadata": { "pycharm": { "is_executing": false @@ -400,7 +368,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": null, "metadata": { "pycharm": { "is_executing": false @@ -421,35 +389,14 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": null, "metadata": { "pycharm": { "is_executing": false, "metadata": false } }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/opt/conda/lib/python3.9/site-packages/seaborn/matrix.py:654: UserWarning: Clustering large matrix with scipy. Installing `fastcluster` may give better performance.\n", - " warnings.warn(msg)\n" - ] - }, - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "sns.clustermap(ga, metric='euclidean', method='complete', cmap='seismic', mask=ga == mask_na, center=0.,\n", " figsize=(12.5, 50), col_colors=[stage_col_colors, diagnosis_col_colors])\n", @@ -466,7 +413,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -483,22 +430,9 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "sns.clustermap(zdf, metric='euclidean', method='complete', cmap='seismic', mask=ga == mask_na, center=0.,\n", " col_colors=[stage_col_colors, diagnosis_col_colors], figsize=(12.5, 50))\n", @@ -513,6 +447,13 @@ "\n", "We hope that you found this tutorial useful. There is also an accompanying tutorial on the PDC site, if you are finding this notebook and have not seen the video. Please submit any questions or requests to: nci.pdc.help@esacinc.com" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { @@ -531,7 +472,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.7" + "version": "3.9.20" }, "stem_cell": { "cell_type": "raw", diff --git a/BRH-notebooks/combined_demos/README.md b/BRH-notebooks/combined_demos/README.md index c003208a..54bc791d 100644 --- a/BRH-notebooks/combined_demos/README.md +++ b/BRH-notebooks/combined_demos/README.md @@ -27,7 +27,7 @@ This file you are viewing is a README markdown file which can be rendered by jup ### Controlled access and open access notebooks -Both controlled access and open access data are presented in this workspace. The two notebooks that use controlled access data are `ACTT1_accessclinical.ipynb` and `JCOIN_Tracking_Opioid_Stigma.ipynb`. You need access to these studies to be able to run these notebooks. +Both controlled access and open access data are presented in this workspace. The only notebook that uses controlled access data is `JCOIN_Tracking_Opioid_Stigma.ipynb`. You need access to these studies to be able to run this notebooks. ### Gen3 and GUIDs diff --git a/BRH-notebooks/combined_demos/requirements.txt b/BRH-notebooks/combined_demos/requirements.txt index db935d72..dda33a67 100644 --- a/BRH-notebooks/combined_demos/requirements.txt +++ b/BRH-notebooks/combined_demos/requirements.txt @@ -1,12 +1,14 @@ -matplotlib==3.4.2 -plotly==5.6.0 -seaborn==0.11.1 +scipy==1.13.1 +matplotlib==3.9.4 +plotly==6.0.1 +seaborn==0.13.2 openpyxl==3.1.2 pyreadstat==1.2.1 -scikit-learn==1.1.1 +scikit-learn==1.6.1 tableone==0.7.12 lifelines==0.27.4 -bioinfokit==2.1.0 +networkx==3.2.1 +r-terra r-geojsonio r-sf r-tidygeocoder From 3dcd34a5c2835ceb57e1150dd54079adf4b9de70 Mon Sep 17 00:00:00 2001 From: J Maxwell Date: Tue, 19 Aug 2025 15:44:32 -0500 Subject: [PATCH 033/108] remove OADC notebook --- ...C_CCLE_gene_expression_data_analysis.ipynb | 593 ------------------ 1 file changed, 593 deletions(-) delete mode 100644 BRH-notebooks/combined_demos/OADC_CCLE_gene_expression_data_analysis.ipynb diff --git a/BRH-notebooks/combined_demos/OADC_CCLE_gene_expression_data_analysis.ipynb b/BRH-notebooks/combined_demos/OADC_CCLE_gene_expression_data_analysis.ipynb deleted file mode 100644 index 26a7c562..00000000 --- a/BRH-notebooks/combined_demos/OADC_CCLE_gene_expression_data_analysis.ipynb +++ /dev/null @@ -1,593 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "8c3d2bb2", - "metadata": { - "tags": [] - }, - "source": [ - "# Unsupervised Data Exploration on Cancer Cell Line Encyclopedia (CCLE)\n", - "\n", - "*Please note: This notebook uses open access data* \n", - "*Please note: OADC Login in the BRH Profile Page needs to be authorized* \n", - "*Please note: Graphs and vizs may not display as expected if using a ad-blocker*\n", - "\n", - "\n", - "Fan Wang\n", - "\n", - "Principal component analysis (PCA) and t-distributed stochastic neighbor embedding (t-SNE) has become valuable tools for unsupervised data exploration. This notebook explores the application of unsupervised learning on Cancer Cell Line Encyclopedia (CCLE) gene expression profile. All results shown in this notebook are for demonstration purposes and should not be considered scientifically rigorous." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "4f6f14fc-a71c-4859-9205-3365b4b8b0cb", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "data": { - "text/html": [ - "\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "%%html\n", - "" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "bc663c6b-70b6-4324-bba1-85aff6b69c93", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "data": { - "application/javascript": [ - "element.append('jQuery version: ' + jQuery.fn.jquery);\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "%%javascript\n", - "element.append('jQuery version: ' + jQuery.fn.jquery);" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "49e88385-926f-4b2b-93ef-594e0ca53855", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Requirement already satisfied: jupyterlab in /opt/conda/lib/python3.9/site-packages (3.6.3)\n", - "Collecting jupyterlab\n", - " Using cached jupyterlab-4.0.10-py3-none-any.whl (9.2 MB)\n", - "Requirement already satisfied: scipy in /opt/conda/lib/python3.9/site-packages (1.10.1)\n", - "Collecting scipy\n", - " Using cached scipy-1.11.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (36.6 MB)\n", - "Collecting sklearn\n", - " Using cached sklearn-0.0.post12.tar.gz (2.6 kB)\n", - " Preparing metadata (setup.py) ... \u001b[?25lerror\n", - " \u001b[1;31merror\u001b[0m: \u001b[1msubprocess-exited-with-error\u001b[0m\n", - " \n", - " \u001b[31m×\u001b[0m \u001b[32mpython setup.py egg_info\u001b[0m did not run successfully.\n", - " \u001b[31m│\u001b[0m exit code: \u001b[1;36m1\u001b[0m\n", - " \u001b[31m╰─>\u001b[0m \u001b[31m[15 lines of output]\u001b[0m\n", - " \u001b[31m \u001b[0m The 'sklearn' PyPI package is deprecated, use 'scikit-learn'\n", - " \u001b[31m \u001b[0m rather than 'sklearn' for pip commands.\n", - " \u001b[31m \u001b[0m \n", - " \u001b[31m \u001b[0m Here is how to fix this error in the main use cases:\n", - " \u001b[31m \u001b[0m - use 'pip install scikit-learn' rather than 'pip install sklearn'\n", - " \u001b[31m \u001b[0m - replace 'sklearn' by 'scikit-learn' in your pip requirements files\n", - " \u001b[31m \u001b[0m (requirements.txt, setup.py, setup.cfg, Pipfile, etc ...)\n", - " \u001b[31m \u001b[0m - if the 'sklearn' package is used by one of your dependencies,\n", - " \u001b[31m \u001b[0m it would be great if you take some time to track which package uses\n", - " \u001b[31m \u001b[0m 'sklearn' instead of 'scikit-learn' and report it to their issue tracker\n", - " \u001b[31m \u001b[0m - as a last resort, set the environment variable\n", - " \u001b[31m \u001b[0m SKLEARN_ALLOW_DEPRECATED_SKLEARN_PACKAGE_INSTALL=True to avoid this error\n", - " \u001b[31m \u001b[0m \n", - " \u001b[31m \u001b[0m More information is available at\n", - " \u001b[31m \u001b[0m https://github.com/scikit-learn/sklearn-pypi-package\n", - " \u001b[31m \u001b[0m \u001b[31m[end of output]\u001b[0m\n", - " \n", - " \u001b[1;35mnote\u001b[0m: This error originates from a subprocess, and is likely not a problem with pip.\n", - "\u001b[1;31merror\u001b[0m: \u001b[1mmetadata-generation-failed\u001b[0m\n", - "\n", - "\u001b[31m×\u001b[0m Encountered error while generating package metadata.\n", - "\u001b[31m╰─>\u001b[0m See above for output.\n", - "\n", - "\u001b[1;35mnote\u001b[0m: This is an issue with the package mentioned above, not pip.\n", - "\u001b[1;36mhint\u001b[0m: See above for details.\n", - "\u001b[?25h" - ] - } - ], - "source": [ - "! pip install --upgrade jupyterlab scipy sklearn matplotlib seaborn gen3\n", - "import gen3, operator, zipfile, scipy\n", - "from sklearn.decomposition import PCA\n", - "from sklearn.manifold import TSNE\n", - "import pandas as pd\n", - "from pandas import json_normalize\n", - "from collections import Counter\n", - "from statistics import mean\n", - "from io import StringIO\n", - "from IPython.utils import io\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "from matplotlib import rcParams\n", - "\n", - "#rcParams.update({\"figure.autolayout\": True})\n", - "#get_ipython().run_line_magic(\"matplotlib\", \"notebook\")\n", - "import seaborn as sns\n", - "\n", - "sns.set(style=\"ticks\", color_codes=True)\n", - "get_ipython().run_line_magic(\"config\", \"InlineBackend.figure_format = 'png'\")\n", - "import warnings\n", - "\n", - "warnings.filterwarnings(\"ignore\")\n", - "%matplotlib inline" - ] - }, - { - "cell_type": "markdown", - "id": "bec5532f", - "metadata": {}, - "source": [ - "### Download drug response data" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "3226b73f-4c4c-441d-acc6-7e50226e07c8", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\"succeeded\": [\"dg.OADC/e8e18bb3-d66b-4232-bd27-35284c609144\"], \"failed\": []}\n" - ] - } - ], - "source": [ - "!gen3 drs-pull object dg.OADC/e8e18bb3-d66b-4232-bd27-35284c609144" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "86e30dcd-869a-48c8-a590-bf80d1feeb61", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "path_to_zip_file=\"OpenAccess-CCLE_structured_data.zip\"\n", - "\n", - "with zipfile.ZipFile(path_to_zip_file, 'r') as zip_ref:\n", - " zip_ref.extractall()" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "b68fbdbc-1d74-4916-b45d-3f1eeb8a8d7c", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "df = pd.read_csv(\n", - " \"OpenAccess-CCLE_lab_test.tsv\", sep=\"\\t\", header=0\n", - ")\n", - "df[\"tissue\"] = df[\"samples.submitter_id\"].str.split(pat=\"_\", n=1).str.get(1)\n", - "df[\"cell_line\"] = df[\"samples.submitter_id\"].str.split(pat=\"_\", n=1).str.get(0)\n", - "df[\"compound\"] = (\n", - " df[\"submitter_id\"].str.split(\"_response_\").str.get(0).str.split(\"_\").str.get(-1)\n", - ")" - ] - }, - { - "cell_type": "markdown", - "id": "a92c6113", - "metadata": {}, - "source": [ - "### Visualize distribution of EC50 data for each tissue type" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "08917a07-cd4f-4673-87d9-fb1ced49b736", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "def plot_numeric_by_category(numeric_property, category_property, df):\n", - " categories = list(set(df[category_property]))\n", - " plt.figure(figsize=(9, 6), dpi=100)\n", - " N = 0\n", - " for category in categories:\n", - " subset = df[df[category_property] == category]\n", - " N += len(subset)\n", - " data = subset[numeric_property].dropna().astype(float)\n", - " fig = sns.kdeplot(\n", - " df.loc[df[category_property] == category, numeric_property],\n", - " fill=True,\n", - " alpha=0.0,\n", - " label=category,\n", - " )\n", - " plt.legend(loc=\"upper right\", ncol=2, fontsize=7)\n", - "\n", - " plt.title(numeric_property + \" by \" + category_property + \" (N = \" + str(N) + \")\")\n", - " plt.show(fig)\n", - "\n", - "\n", - "numeric_property = \"EC50\"\n", - "category_property = \"tissue\"\n", - "plot_numeric_by_category(numeric_property, category_property, df)" - ] - }, - { - "cell_type": "markdown", - "id": "8c4c52f4", - "metadata": {}, - "source": [ - "### Visualize distribution of EC50 data for the top 10 tissue types with the largest number of samples" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "b827af5c-cf4c-4ef4-91ed-cccf72ac640e", - "metadata": { - "scrolled": true, - "tags": [] - }, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "def plot_top10_numeric_by_category(numeric_property, category_property, df):\n", - " categories = list(set(df[category_property]))\n", - " plt.figure(figsize=(9, 6), dpi=100)\n", - " category_means = {}\n", - " for category in categories:\n", - " df_2 = df[df[numeric_property].notnull()]\n", - " data = list(\n", - " df_2.loc[df_2[category_property] == category][numeric_property].astype(\n", - " float\n", - " )\n", - " )\n", - "\n", - " if len(data) > 5:\n", - " category_means[category] = mean(data)\n", - "\n", - " if len(category_means) > 1:\n", - " sorted_means = sorted(\n", - " category_means.items(), key=operator.itemgetter(1), reverse=True\n", - " )[0:10]\n", - " categories_list = [x[0] for x in sorted_means]\n", - "\n", - " N = 0\n", - " for category in categories_list:\n", - " subset = df[df[category_property] == category]\n", - " N += len(subset)\n", - " data = subset[numeric_property].dropna().astype(float)\n", - " fig = sns.kdeplot(\n", - " df.loc[df[category_property] == category, numeric_property],\n", - " fill=True,\n", - " alpha=0.0,\n", - " label=category,\n", - " )\n", - "\n", - " plt.legend(loc=\"upper right\", ncol=2, fontsize=7)\n", - "\n", - " plt.title(numeric_property + \" by \" + category_property + \" (N = \" + str(N) + \")\")\n", - " plt.show(fig)\n", - "\n", - "\n", - "plot_top10_numeric_by_category(numeric_property, category_property, df)" - ] - }, - { - "cell_type": "markdown", - "id": "eda5d45e", - "metadata": {}, - "source": [ - "### Download gene expression profile data" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "76f23b03", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\"succeeded\": [\"dg.OADC/41c3f1ac-2cc7-4b04-b09c-a9c5dbad2c98\"], \"failed\": []}\n" - ] - } - ], - "source": [ - "!gen3 drs-pull object dg.OADC/41c3f1ac-2cc7-4b04-b09c-a9c5dbad2c98" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "8a95228a", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "path_to_zip_file=\"CCLE_data_22Q2.zip\"\n", - "\n", - "with zipfile.ZipFile(path_to_zip_file, 'r') as zip_ref:\n", - " zip_ref.extractall()" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "51eb9d70-6915-45f6-a70e-9d598ada0ff1", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "ccle = pd.read_csv(\"CCLE_data_22Q2/CCLE_expression_22Q2.csv\", sep=\",\")\n", - "ccle = ccle.rename(columns={\"Unnamed: 0\": \"DepMap_ID\"})\n", - "info = pd.read_csv(\"CCLE_data_22Q2/sample_info_22Q2.csv\")\n", - "merge = pd.merge(info[[\"CCLE_Name\", \"DepMap_ID\"]], ccle, on=\"DepMap_ID\", how=\"inner\")\n", - "ccle_data = merge.drop([\"DepMap_ID\"], axis=1)\n", - "a = ccle_data.transpose()\n", - "a = a.rename(columns=a.iloc[0])\n", - "ccle_data = a.iloc[1:, :].astype(float)\n", - "ccle_data[\"std\"] = ccle_data.std(axis=1)\n", - "ccle_data = ccle_data.sort_values(by=[\"std\"], ascending=False)\n", - "ccle_data = ccle_data.iloc[:100, :-1]\n", - "ccle_data_log2 = np.log2(ccle_data + 2)\n", - "merge[\"ccle_lineages\"] = merge[\"CCLE_Name\"].str.split(pat=\"_\", n=1).str.get(1)\n", - "ccle_lineages = merge[\"ccle_lineages\"].tolist()\n", - "lineage_sorted_by_count = [x[0] for x in Counter(ccle_lineages).most_common()]" - ] - }, - { - "cell_type": "markdown", - "id": "6916d2b2", - "metadata": {}, - "source": [ - "### Visualize the cell lineage distribution " - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "36340b65-34bf-4740-8e0c-c30310e79df3", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAwEAAAMeCAYAAABFnwhbAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAA9hAAAPYQGoP6dpAADFvklEQVR4nOzdd3gU1fv38c8GCIiUIF1AehWliCJNSgQJvQiIX5ogoFKUJr2EJkQEFRBBkCoIShNIIsUIIoiiIKhEEFEQSQwlMRBCgOzzR57dXzbZ7G52EgLO+3VdXpLdPTuTmc3s3Ofc5z4Wq9VqFQAAAADT8MnqHQAAAABwZxEEAAAAACZDEAAAAACYDEEAAAAAYDIEAQAAAIDJEAQAAAAAJkMQAAAAAJgMQQAAAABgMgQBAAAAgMkQBAC4p4WHh2vs2LFq1qyZHnnkEdWqVUsdO3bUBx98oOjoaIfXJiYmasuWLerTp4/q1q2rhx9+WPXq1dPAgQP1xRdfKDExUZL0119/qXLlylq2bJnLbTdr1kyVK1d2+l/Pnj1dtk3PNsaMGeP+QPyH2I6N7b+HH35YdevWVefOnTVz5kydOnUqVZtDhw6pcuXKOnToULq29dFHH2nTpk3pauNsW2PGjFGtWrXS9T7u/PDDD5o/f77+/fffVM/17NnT7WcMAFzJntU7AADe2rBhgwIDA1W2bFn169dPFSpU0K1bt/TTTz/p448/1tGjR7Vw4UJJ0o0bN/TKK6/o66+/VuvWrTVlyhQVLlxYly9f1ldffaVXX31V8+bN09NPP52ufahdu7ZGjx6d6vE8efJkyO+4YMGCDHuve03Pnj3Vpk0bJSYmKjY2Vr/88os2btyoNWvWaPjw4XrxxRftr3344Ye1fv16VahQIV3bWLdunQoUKKBOnTp53MbbbaXXkSNHtGDBAnXs2FH58uVzeG7y5MmZum0A/30EAQDuSUeOHNGUKVNUv359vffee/L19bU/16BBA73wwgv66quv7I+98cYb2r9/v2bPnq0OHTo4vFeLFi3Ur18/xcfHp3s/8uXLp5o1a3r7a7hVrVq1THvvu13x4sUdjm3jxo31wgsvaPDgwXrzzTdVsWJFNW7cWFJS0JWZ50GSbt68KYvFcke25U5mByAA/vtIBwJwT1q8eLEsFoumTZvmEADY+Pr6yt/fX5IUFRWlTz/9VA0bNkwVANiUKVNGVapUycxd9krKdCBbKsr27ds1b948NWzYULVr11afPn30+++/p2p/4MAB9e7dW7Vr11aNGjX03HPP6eDBgw6v+fPPPzV27Fi1aNFCNWrUUKNGjfTSSy/p119/TfV+p06dUt++fVWjRg09+eSTCgwM1Jdffuk0FceTbadXrly5NGPGDOXIkcMhlcpZis65c+c0bNgwNWzYUNWrV1f9+vXVu3dvnThxQlLSsT116pS+/fZbe+pRs2bNHN5vy5YtmjVrlho1aqRHHnlEf/75p8vUo1OnTql3796qWbOmnnzySU2dOlXXr1+3P29LdXKWglS5cmXNnz9fkjR//nwFBQVJkvz9/e37Z9ums3Sg6OhoTZkyRY0aNVL16tXl7++vefPmKSEhIdV2pk6dqi1btiggIEA1atRQu3btFBYW5vmJAHDPYyQAwD3n9u3b+uabb/Twww+rePHibl9/6NAh3bx5M92pPp6wWq26detWqsezZcsmi8WS4duzmTt3rmrXrq0ZM2bo6tWrmjNnjl5++WUFBwcrW7ZskqStW7dq9OjR8vf31+zZs5U9e3atX79e/fr107Jly1SvXj1J0j///CM/Pz+NGDFCDzzwgGJiYrR582Z17dpVmzdvVrly5eyv69Gjh3Lnzq0pU6bogQce0I4dOzR16tRU++fptr1RtGhRPfzwwzpy5Ihu3bql7Nmdf5X1799fiYmJGjVqlB588EFduXJFR44csefYL1iwQEOHDlXevHnt6TUpA8q5c+eqZs2aCgwMlI+PjwoWLKiLFy863d7Nmzc1YMAAdevWTQMGDNCRI0e0aNEi/f3333r//ffT9Tt26dJFMTExWr16tRYsWKDChQtLSnsE4MaNG+rVq5fOnTunIUOGqHLlyjp8+LCWLFmiEydOaMmSJQ6v//LLL3X8+HENHTpUuXPn1tKlSzV48GCFhoaqVKlS6dpXAPcmggAA95wrV67o+vXrKlmypEev//vvvyXJ49enx969e/Xwww+nevzVV1/VK6+8kuHbs6lQoYLmzJlj/9nHx0evvfaajh8/rpo1a+r69euaOXOmmjRpYp8XISWl1HTs2FFz587VJ598Ikl6/PHH9fjjj9tfc/v2bTVu3Fht2rTR+vXrNXbsWEnSihUrFBMTo48++sh+M9q4cWP169dP58+ft7dPz7a99eCDD+ro0aOKiYlRwYIFUz1/5coVnTlzRuPGjVP79u3tj7do0cL+72rVqilXrlwu03seeughvfvuux7t082bN/XCCy+oV69ekpLS0rJnz6558+bp+++/12OPPebx71esWDF7gFu1alW3n93Nmzfr119/1dtvv62AgAD79nPnzq05c+bo66+/VoMGDeyvv3HjhpYvX26fb/Lwww+rUaNGCgkJ0YABAzzeTwD3LtKBAMCAxx57TJ9++mmq/5599tlM3a4tbcWmcuXKkv4v4Dly5Iiio6PVsWNH3bp1y/5fYmKiGjVqpOPHjysuLk6SdOvWLb3//vtq1aqVqlevrmrVqql69er6448/dPr0afs2vvvuO1WsWDFVb3SbNm0cfk7Ptr1ltVpdPu/n56eHHnpIy5Yt0/Lly/XLL7/Yqz+lR/KgwRNt27Z1+Nl2bNJbtSi9vvnmG+XOnVstW7Z0eNw24TllGlbdunUdJpwXKlRIBQsWdAjmAPy3MRIA4J5ToEAB3Xffffrrr788ev2DDz4oSR6/Pj3y5s2rRx55JMPf1x0/Pz+Hn21pLLbJzbaUlaFDh6b5HjExMcqdO7dmzZqljz76SP3799fjjz+u/Pnzy2KxaMKECbpx44b99dHR0U57pFP2xKdn2976+++/5evrq/z58zt93mKxaMWKFVq4cKGWLl2qWbNmyc/PT23bttVrr73mccUlWxqOJ7Jnz64CBQo4bZ+yXG1Gi46OVqFChVKloBUsWFDZs2dPtf2Unx8p6TOU/HwD+G8jCABwz8mWLZuefPJJffXVV4qIiFCxYsVcvr5u3brKkSOHdu/ere7du9+hvcxatpvRiRMnqkaNGk5fY7t5/+yzz9ShQwcNHz7c4fkrV644lKb08/Nzmg+f8rH0bNsbkZGR+vnnn/X444+nOR9AkkqUKKGZM2dKks6cOaOQkBAtWLBACQkJTucxOJOeeR23bt3SlStXHAKBqKgoSf93050zZ05JSjVZ98qVKx5vxxk/Pz/9+OOPslqtDvt86dIl3bp1K1VwAgCkAwG4Jw0cOFBWq1UTJkxIdUMlJeVnf/HFF5KSemOfffZZ7d+/X1u2bHH6fmfPnlV4eHhm7vIdVbt2beXLl0+//fabHnnkEaf/2UYPLBaLcuTI4dD+yy+/VGRkpMNjjz/+uE6dOqXffvvN4fEdO3Z4ve30io+P1/jx43Xr1i2HdQLcKVu2rF555RVVqlRJv/zyi/1xX19fr0rDpmXbtm0OP2/fvl2S9MQTT0hKSrvJmTNnqspLe/bsSfVetmPkSe98vXr1FBcXp927dzs8bvu8G5mIDeC/iZEAAPekWrVqacqUKQoMDFTnzp313HPPqWLFirp165Z++eUXbdiwQRUrVrTnzo8dO1bnzp3TmDFj9NVXX6l58+YqVKiQrly5oq+//lqbNm3S3LlzHcqEnjx5UqGhoam2/cgjj6hEiRKSpH///VdHjx5N9RpfX1+Pavx7sg1v3H///ZowYYLGjBmjmJgYPfPMMypYsKAuX76s8PBwXb58WYGBgZKkJk2a2KsAVa5cWT///LOWLVuWaoSld+/e2rhxo/r376+hQ4eqYMGC2r59u86cOSMpaXJyerftyoULF3T06FH7YmEnTpzQxo0b9ffff2vMmDFq2LBhmm3Dw8M1bdo0tWzZUqVLl1aOHDn0zTff6Ndff3WY+FqpUiXt2LFDwcHBKlmypHLmzGmfX5FeOXLk0PLlyxUXF6dHHnnEXh3oqaeeUp06dSQlBVzt2rXTxo0b9dBDD6lKlSo6duyYPVhIrlKlSpKklStXqmPHjsqePbvKli3rNJWpQ4cO+uijjzR69GidP39elSpV0vfff6/FixercePGql+/vle/E4D/LoIAAPesrl276tFHH9WKFSu0dOlSRUVFKUeOHCpTpozatGmjHj162F+bM2dOLVmyRNu2bdPmzZs1efJkXb16Vfny5VP16tU1c+bMVJNtt2zZ4nTk4I033rBPuPzhhx/UrVu3VK8pWrSo9u3b5/Z38GQb3mrfvr0efPBBLV26VJMnT9a1a9f0wAMPqGrVqurYsaP9dePHj1f27Nm1ZMkSxcXFqVq1apo/f77eeeedVL/TmjVrNHPmTE2ePFn33Xefnn76aQ0dOlSjR49W3rx5071tV1avXq3Vq1crW7ZsypMnj0qWLKmmTZuqa9eubhfLKly4sB566CGtXbtWERERkqRSpUpp9OjRDvX1hwwZoqioKE2YMEHXrl1TiRIl7CNI6ZUjRw69//77mj59uhYtWqRcuXKpS5cuev311x1eZ1v3YenSpYqLi1PdunX1/vvvp/r81a1bVwMHDtTmzZv1ySefKDExUatWrVLdunVTbTtnzpxatWqV5s2bp6VLl+rKlSsqWrSo+vbtq8GDB3v1+wD4b7NY3ZVYAADAhYkTJ2r79u06dOiQ12k+AIA7i5EAAIDHFixYoKJFi6pkyZKKi4vTl19+qU8++UQvv/wyAQAA3EMIAgAAHsuRI4eWLl2qyMhI3bp1S2XKlNGYMWPUu3fvrN41AEA6kA4EAAAAmAwlQgEAAACTIQgAAAAATIYgAAAAADAZU04MrlOnjhISElS4cOGs3hUAAAAgw0RFRcnX11eHDx92+TpTBgE3btzQ7du3s3o3AAAAgAx169YteVL3x5RBQJEiRSRJe/bsyeI9AQAAADKOv7+/R69jTgAAAABgMgQBAAAAgMkQBAAAAAAmQxAAAAAAmAxBAAAAAGAyBAEAAACAyRAEAAAAACZDEAAAAACYDEEAAAAAYDIEAQAAAIDJEAQAAAAAJkMQAAAAAJgMQQAAAABgMgQBAAAAgMkQBAAAAAAmQxAAAAAAmAxBAAAAAGAyBAEAAACAyRAEAAAAACZDEAAAAACYDEEAAAAAYDIEAQAAAIDJEAQAAAAAJmP6ICAxMTFTXw8AAADcbbJn9Q5kNR8fH23atElRUVFuX1u4cGF16tTpDuwVAAAAkHlMHwRIUlRUlCIiIrJ6NwAAAIA7wvTpQAAAAIDZEAQAAAAAJkMQAAAAAJgMQQAAAABgMgQBAAAAgMkQBAAAAAAmQxAAAAAAmAxBAAAAAGAyBAEAAACAyRAEAAAAACZDEAAAAACYDEEAAAAAYDIEAQAAAIDJEAQAAAAAJkMQAAAAAJgMQQAAAABgMgQBAAAAgMkQBAAAAAAmQxAAAAAAmAxBAAAAAGAyBAEAAACAyRAEAAAAACZDEAAAAACYDEEAAAAAYDIEAQAAAIDJEAQAAAAAJkMQAAAAAJgMQQAAAABgMgQBAAAAgMkQBAAAAAAmQxAAAAAAmAxBAAAAAGAyWRoEXLhwQT179lSrVq3Utm1bhYSESJKOHTum1q1bq3nz5lqwYIH99WfPnlWnTp3UvHlzTZo0SVarNat2HQAAALhnZWkQkC1bNo0bN07BwcFasWKF3njjDcXFxSkwMFBvvfWWQkJCFBYWppMnT0qS3nzzTQ0ZMkS7du3SpUuX9OWXX2bl7gMAAAD3pOxZufEiRYqoSJEikqSCBQsqf/78unLlim7fvq0qVapIktq2bauwsDBVrFhRR44c0bvvvitJ6tChg8LCwtS0aVOn7+3v75/mdi9cuKDixYtn8G8DAAAA3BvumjkBx48fl9Vq1eXLl1W0aFH740WLFlVkZKSuXLkiPz8/WSwWh8cBAAAApE+WjgTYXLlyRaNHj9b06dOd5vnbbvw9fVyS9uzZk+ZzrkYJAAAAgP+6LB8JSEhI0ODBgzVgwADVrl07VQ9/ZGSkChcurAIFCig6OtoeJNgeBwAAAJA+WRoEWK1WjRkzRk8++aQ6dOggKSnNx8fHR+Hh4bp165a2b9+upk2bymKxqGbNmvbJwFu2bElzPgAAAACAtGVpEPD9998rODhYu3fvVvv27dW+fXv9+uuvmjRpkkaMGKGWLVuqcePGqly5siRp5MiRmj9/vp5++mk98MADatKkSVbuPgAAAHBPytI5AXXq1FF4eLjT53bs2JHqsTJlymjTpk2ZvVsAAADAf1qWzwkAAAAAcGcRBAAAAAAmQxAAAAAAmAxBAAAAAGAyBAEAAACAyRAEAAAAACZDEAAAAACYDEEAAAAAYDIEAQAAAIDJEAQAAAAAJkMQAAAAAJgMQQAAAABgMgQBAAAAgMkQBAAAAAAmQxAAAAAAmAxBAAAAAGAyBAEAAACAyRAEAAAAACZDEGBAYmLiHWkDAAAAZKTsWb0D9zIfHx9t2rRJUVFRHr2+cOHC6tSpUybvFQAAAOAaQYBBUVFRioiIyOrdAAAAADxGOhAAAABgMgQBAAAAgMkQBAAAAAAmQxAAAAAAmAxBAAAAAGAyBAEAAACAyRAEAAAAACZDEAAAAACYDEEAAAAAYDIEAQAAAIDJEAQAAAAAJkMQAAAAAJgMQQAAAABgMgQBAAAAgMkQBAAAAAAmQxAAAAAAmAxBAAAAAGAyBAEAAACAyRAEAAAAACZDEAAAAACYDEEAAAAAYDIEAQAAAIDJEAQAAAAAJkMQAAAAAJgMQQAAAABgMgQBAAAAgMkQBAAAAAAmQxAAAAAAmAxBAAAAAGAyBAEAAACAyRAEAAAAACZDEAAAAACYDEEAAAAAYDIEAQAAAIDJEAQAAAAAJkMQAAAAAJgMQQAAAABgMgQBAAAAgMkQBAAAAAAmQxAAAAAAmAxBAAAAAGAyBAEAAACAyRAEAAAAACZDEAAAAACYDEEAAAAAYDIEAQAAAIDJEAQAAAAAJkMQAAAAAJgMQQAAAABgMgQBAAAAgMkQBAAAAAAmQxAAAAAAmAxBAAAAAGAyBAEAAACAyRAEAAAAACZDEAAAAACYDEEAAAAAYDIEAQAAAIDJEAQAAAAAJkMQAAAAAJgMQQAAAABgMgQBAAAAgMkQBAAAAAAmQxAAAAAAmAxBAAAAAGAyBAEAAACAyRAEAAAAACZDEAAAAACYDEEAAAAAYDIEAQAAAIDJEAQAAAAAJkMQAAAAAJgMQQAAAABgMgQBAAAAgMkQBAAAAAAmQxAAAAAAmAxBAAAAAGAyBAEAAACAyRAEAAAAACZDEAAAAACYDEEAAAAAYDIEAQAAAIDJEAQAAAAAJkMQAAAAAJgMQQAAAABgMgQBAAAAgMkQBAAAAAAmQxAAAAAAmAxBAAAAAGAy2bN6BwYNGqRvv/1W9erV07vvvitJatasme6//375+PioSJEi+uCDDyRJZ8+e1WuvvabY2FjVq1dPgYGBslgsWbn7AAAAwD0ny0cCevbsqdmzZ6d6/OOPP9bWrVvtAYAkvfnmmxoyZIh27dqlS5cu6csvv7yDewoAAAD8N2T5SMCTTz6pQ4cOuX2d1WrVkSNH7KMFHTp0UFhYmJo2ber09f7+/mm+14ULF1S8eHHvdhgAAAC4x2X5SEBaevTooWeffVaff/65JOnKlSvy8/Ozp/8ULVpUkZGRWbmLAAAAwD0py0cCnFm3bp2KFi2qiIgI9e7dW1WqVFHevHlTvc7VfIA9e/ak+ZyrUQIAAADgv+6uHAkoWrSoJKlYsWJ68skndeLECRUoUEDR0dGyWq2SpMjISBUuXDgrdxMAAAC4J911QUBcXJyuXr0qSfr33391+PBhlS9fXhaLRTVr1rRPBt6yZUua8wEAAAAApC3L04H69eunn3/+WdevX9dTTz2l+fPna+LEiZKSJgP37NlTFStWlCSNHDlSw4cP14wZM1SvXj01adIkC/ccAAAAuDdleRCwbNmyVI999tlnTl9bpkwZbdq0KbN3CQAAAPhPu+vSgQAAAABkLoIAAAAAwGQIAgAAAACTIQgAAAAATIYgAAAAADAZggAAAADAZAgCAAAAAJMhCAAAAABMhiAAAAAAMBmCAAAAAMBkCAIAAAAAkyEIAAAAAEyGIAAAAAAwGYIAAAAAwGQIAgAAAACTIQgAAAAATIYgAAAAADAZggAAAADAZAgCAAAAAJMhCAAAAABMhiAAAAAAMBmCAAAAAMBkCAIAAAAAkyEIAAAAAEyGIAAAAAAwGYIAAAAAwGQIAgAAAACTIQgAAAAATIYgAAAAADAZggAAAADAZAgCAAAAAJMhCAAAAABMhiAAAAAAMBmCAAAAAMBkCAIAAAAAkyEIAAAAAEyGIAAAAAAwGYIAAAAAwGQIAgAAAACTIQgAAAAATIYgAAAAADAZggAAAADAZAgCAAAAAJMhCAAAAABMhiAAAAAAMBmCAAAAAMBkCAIAAAAAkyEIAAAAAEyGIAAAAAAwGYIAAAAAwGQIAgAAAACTIQgAAAAATIYgAAAAADAZggAAAADAZAgCAAAAAJMhCAAAAABMhiAAAAAAMBmCAAAAAMBkCAIAAAAAkyEIAAAAAEzGqyBgwYIFioyMdPrcP//8owULFhjaKQAAAACZx6sgYOHChS6DgIULFxraKQAAAACZx6sgwGq1pvlcXFycsmfP7vUOAQAAAMhcHt+th4eHKzw83P7z3r179fvvvzu8Jj4+Xtu2bdNDDz2UcXsIAAAAIEN5HATs3r3bnutvsVjSTPnJlSuXZs6cmTF7BwAAACDDeRwEdO3aVU2aNJHValWXLl30xhtvqGLFig6v8fX11UMPPaRcuXJl+I4CAAAAyBgeBwFFihRRkSJFJEmrVq3Sww8/rPvvvz/TdgwAAABA5vBqBu8TTzyR0fsBAAAA4A7xuozP1q1btX37dv3999+Kj493eM5isWj37t2Gdw4AAABAxvMqCFiyZInmzp2rChUqqEqVKvL19c3o/QIAAACQSbwKAjZs2KD//e9/mjhxYkbvDwAAAIBM5tViYRcvXtTTTz+d0fsCAAAA4A7wKgh4+OGHde7cuYzeFwAAAAB3gFdBwJgxY/Thhx/qp59+yuj9AQAAAJDJvJoTMG7cOEVHR6tLly4qVKiQ/Pz8HJ63WCz67LPPMmL/AAAAAGQwr4IAPz+/VDf+AAAAAO4NXgUBq1evzuj9AAAAAHCHeDUnAAAAAMC9y6uRgO+++87tax5//HFv3hoAAABAJvMqCOjZs6csFovL15w4ccKrHQIAAACQubwKAlatWpXqsStXrmjPnj364YcfNGnSJMM7BgAAACBzeBUEPPHEE04ff+aZZzRp0iR99dVXeuqppwztGAAAAIDMkeETg5s3b67g4OCMflsAAAAAGSTDg4B///1XCQkJGf22AAAAADKIV+lAf//9d6rHEhIS9Ouvv+qtt95SjRo1DO8YAAAAgMzhVRDQrFkzp9WBrFarypYty8RgAAAA4C7mVRAwc+bMVEFAzpw5VaJECT3yyCPy8WENMgAAAOBu5VUQ0KlTp4zeDwAAAAB3iFdBgM3Vq1d19OhRRUdHq0CBAqpRo4by5MmTUfsGAAAAIBN4HQQsW7ZMCxYsUHx8vKxWqyTpvvvu09ChQ/XCCy9k2A4CAAAAyFheBQFbtmzRm2++qaeeekodO3ZUkSJF9M8//2jLli0KCgpSgQIF1KFDhwzeVQAAAAAZwasgYMWKFWrTpo3mzJnj8HhAQIBGjhyplStXEgQAAAAAdymvyvj8/vvvateundPn2rVrp9OnTxvaKQAAAACZx6sgIFeuXIqJiXH6XExMjHLlymVopwAAAABkHq+CgMcee0wLFixQZGSkw+NRUVFauHCh6tSpkyE7BwAAACDjeTUnYPjw4erWrZtatGihevXqqXDhwoqKitI333yj7Nmza8GCBRm9nwAAAAAyiFdBQMWKFfXpp59qwYIFOnTokKKjo+Xn5yd/f38NHjxYZcuWzej9BAAAAJBBvAoCbt68qWLFimnu3LmpnouLi9PNmzeVI0cOwzsHAAAAION5FQRMnDhRCQkJToOAiRMnKleuXJoxY4bhnQMAAACQ8byaGHzo0CE1a9bM6XPNmjXTwYMHDe0UAAAAgMzjVRBw8eJFFS5c2OlzhQoV0sWLFw3tFAAAAIDM41UQkC9fPp09e9bpc2fPntX9999vaKcAAAAAZB6vgoC6detq8eLFio6Odng8OjpaS5Ys0ZNPPpkR+wYAAAAgE3g1MXjw4MF69tln9cwzzyggIEBFixZVRESEQkNDdevWLQ0ZMiSj9xMAAABABvEqCChXrpzWrl2rN954Q5988olu376tbNmy6fHHH9eYMWNUrly5jN5PAAAAABnEqyBAkqpUqaKVK1cqPj5eMTEx8vPzU86cOTNy3wAAAABkAq+DAJtcuXIpV65cGbEvAAAAAO4AryYGAwAAALh3EQQAAAAAJkMQAAAAAJhMlgcBgwYN0uOPP66hQ4faHzt27Jhat26t5s2ba8GCBfbHz549q06dOql58+aaNGmSrFZrVuwyAAAAcE/L8iCgZ8+emj17tsNjgYGBeuuttxQSEqKwsDCdPHlSkvTmm29qyJAh2rVrly5duqQvv/wyC/YYAAAAuLcZrg5k1JNPPqlDhw7Zf46MjNTt27dVpUoVSVLbtm0VFhamihUr6siRI3r33XclSR06dFBYWJiaNm3q9H39/f3T3OaFCxdUvHjxDPwtAAAAgHtHlo8EpPTPP/+oaNGi9p+LFi2qyMhIXblyRX5+frJYLA6PAwAAAEifLB8JSMlZnr/txt/TxyVpz549aT7napQAAAAA+K+760YCUvbwR0ZGqnDhwipQoICio6PtQYLtcQAAAADpc1cGAT4+PgoPD9etW7e0fft2NW3aVBaLRTVr1rRPBt6yZUua8wEAAAAApC3L04H69eunn3/+WdevX9dTTz2lBQsWaNKkSRoxYoRu3Lih9u3bq3LlypKkkSNHavjw4ZoxY4bq1aunJk2aZO3OAwAAAPegLA8Cli1b5vTxHTt2pHqsTJky2rRpU2bvEgAAAPCfdtelAwEAAADIXAQBAAAAgMkQBAAAAAAmQxAAAAAAmAxBAAAAAGAyBAEAAACAyRAEAAAAACZDEAAAAACYDEEAAAAAYDIEAQAAAIDJEAQAAAAAJkMQAAAAAJgMQQAAAABgMgQBAAAAgMkQBAAAAAAmQxAAAAAAmAxBAAAAAGAyBAEAAACAyRAEAAAAACZDEAAAAACYDEEAAAAAYDIEAQAAAIDJEAQAAAAAJkMQAAAAAJgMQQAAAABgMgQBAAAAgMkQBAAAAAAmQxAAAAAAmAxBAAAAAGAyBAEAAACAyRAEZKHExMRMfT0AAADgTPas3gEz8/Hx0aZNmxQVFeX2tYULF1anTp3uwF4BAADgv44gIItFRUUpIiIiq3cDAAAAJkI6EAAAAGAyBAEAAACAyRAEAAAAACZDEAAAAACYDEEAAAAAYDIEAQAAAIDJEAQAAAAAJkMQAAAAAJgMQQAAAABgMgQBAAAAgMkQBAAAAAAmQxAAAAAAmAxBAAAAAGAyBAH3qMTExDvSBgAAAP892bN6B+AdHx8fbdq0SVFRUR69vnDhwurUqVMm7xUAAADuBQQB97CoqChFRERk9W4AAADgHkM6EAAAAGAyBAEAAACAyRAEAAAAACZDEAAAAACYDEEAAAAAYDIEAQAAAIDJEAQAAAAAJkMQAAAAAJgMQQAAAABgMgQBAAAAgMkQBAAAAAAmQxAAAAAAmAxBAAAAAGAyBAEAAACAyRAEAAAAACZDEAAAAACYDEGASSUmJmbq6wEAAHD3yp7VO4Cs4ePjo02bNikqKsrtawsXLqxOnTrdgb0CAADAnUAQYGJRUVGKiIjI6t0AAADAHUY6EAAAAGAyBAEAAACAyRAEAAAAACZDEAAAAACYDEEAAAAAYDIEAQAAAIDJEAQAAAAAJkMQAAAAAJgMQQAAAABgMgQBSLfExERDbdLb3pvtAQAAIG3Zs3oHcO/x8fHRpk2bFBUV5dHrCxcurE6dOnnVPmVbAAAAGEcQAK9ERUUpIiIiy9oDAADAe6QDAQAAACZDEAAAAACYDEEA7ilGJyUDAACAOQG4xxidlAwAAACCANyDmFQMAABgDOlAAAAAgMkQBAAAAAAmQxAAAAAAmAxBAAAAAGAyBAEAAACAyRAEAAAAACZDEAAAAACYDEEAAAAAYDIEAQAAAIDJEAQAAAAAJkMQAAAAAJgMQQAAAABgMgQBAAAAgMkQBAAAAAAmQxAAAAAAmAxBAAAAAGAyBAEAAACAyRAEAAAAACZDEABTSUxMzNTXAwAA3AuyZ/UOAHeSj4+PNm3apKioKLevLVy4sDp16nQH9goAAODOIgiA6URFRSkiIiKrdwMAACDLkA4EeMib1CDSiQAAwN2IkQDAQ+lJJZJIJwIAAHcvggAgHUglAgAA/wWkAwEAAAAmc9eOBFSrVk0VK1aUJFWvXl0zZszQsWPHNHbsWCUkJKh9+/YaPHhwFu8lAAAAcO+5a4OAvHnzauvWrQ6PBQYG6q233lKFChXUrVs3tWjRQpUqVcqiPQQAAADuTXdtEJBSZGSkbt++rSpVqkiS2rZtq7CwsDSDAH9//zTf68KFCypevHim7CcAAABwt7trg4Br166pU6dOypkzp4YNG6b77rtPRYsWtT9ftGhRfffdd1m4hwAAAMC96a4NAvbs2aOiRYvq5MmTGjhwoGbPnp3qNRaLxWX7tLgaJQAAAAD+6+7a6kC2Xv9KlSqpfPnyslgsioyMtD8fGRmpwoULZ9XuAQAAAPesuzIIiImJUUJCgiQpIiJCp0+fVsWKFeXj46Pw8HDdunVL27dvV9OmTbN4TwEAAIB7z12ZDnT69GlNnjxZFotFFotF48ePl5+fnyZNmqQRI0boxo0bat++vSpXrpzVuwoAAADcc+7KIKB27dratm1bqsdr1qypHTt2ZMEeAQAAAP8dd2U6EAAAAIDMQxAAAAAAmAxBAAAAAGAyBAEAAACAyRAEAAAAACZDEAAAAACYDEEAAAAAYDIEAQAAAIDJEAQAAAAAJkMQAAAAAJgMQQAAAABgMgQBAAAAgMkQBAAAAAAmQxAAAAAAmAxBAAAAAGAyBAHAHZKYmOj169Pb1ts2AADAHLJn9Q4AZuHj46NNmzYpKirK7WsLFy6sTp06edXWWXsAAIDkCAKAOygqKkoRERF3vG1iYqJ8fDwf+Evv6wEAwL2FIAAwASOjEAAA4L+HIAAwCSMjCQAA4L+F8X4AAADAZAgCAAAAAJMhCADgEuVJAQD472FOAACXKE8KAMB/D0EAALeYVAwAwH8L6UAAMhUrJQMAcPdhJABApmKlZAAA7j4EAQAyHSslAwBwdyEIAPCfxUrJAAA4RxAA4D+NSc0AAKTGuDcAAABgMgQBAAAAgMkQBAAAAAAmQxAAAAAAmAxBAAA4wUJlAID/MqoDAYATLFQGAPgvIwgAgDRQXhQA8F9FOhAAZIL0pgaRSgQAuJMYCQCATMBqxQCAuxlBAABkEtKJAAB3K9KBAAAAAJMhCAAAAABMhiAAAAAAMBmCAAAAAMBkCAIAAAAAkyEIAAAAAEyGIAAAAAAwGYIAAAAAwGQIAgAAAACTIQgAAAAATIYgAAAAADAZggAAAADAZAgCAAAAAJMhCACAu0xiYuIdaQMAMK/sWb0DAABHPj4+2rRpk6Kiojx6feHChdWpU6dM3isAwH8JQQAA3IWioqIUERGR1bsBAPiPIh0IAAAAMBmCAAAAAMBkCAIAAAAAkyEIAAAAAEyGIAAAAAAwGYIAAAAAwGQIAgAAAACTIQgAAAAATIYgAAAAADAZggAAAADAZAgCAAAAAJMhCAAAAABMhiAAAAAAMBmCAAAAAMBkCAIA4D8mMTExU18PALj3Zc/qHQAAZCwfHx9t2rRJUVFRbl9buHBhderU6Q7sFQDgbkIQAAD/QVFRUYqIiEh3u8TERPn4pG+QOHmb9Lb3ZnsAAOMIAgAAdukZRZBSjyQwCgEA9waCAACAA29HETKqPQAg8zEGCwAAAJgMQQAAAABgMgQBAAAAgMkQBAAAAAAmQxAAAAAAmAxBAAAAAGAyBAEAAACAyRAEAAAAACZDEAAAAACYDEEAAOCukJiYeEfaAACk7Fm9AwAASJKPj482bdqkqKgoj15fuHBhderUKZP3CgD+mwgCAAB3jaioKEVERGT1bgDAfx7pQAAAAIDJEAQAAAAAJkMQAAAAAJgMQQAAAABgMgQBAAAAgMkQBAAAAAAmQxAAAAAAmAxBAADgPyG9qwez2jAAM2OxMADAf0J6VhxmtWEAZkcQAAD4z/B2xeHExET5+KRvcNybNgBwtyAIAACYXnpGESRGEgDc+wgCAACQ96MIAHAvYhwTAAAAMBmCAAAAAMBkCAIAAAAAkyEIAAAAAEyGIAAAAAAwGYIAAAAAwGQIAgAAMCgxMdHr16e3rbdtACA51gkAAMCg9Cw2lnKhMRYqA5AVCAIAAMgARhYbY6EyAHca6UAAANzDsjIVyci2jcrKbQP/BffcSEBYWJhmzZolq9Wq/v37q0uXLlm9SwAAZJmsTEUysm2jsnLbwH/BPRUE3Lp1S7NmzdKqVat0//33q1OnTmrevLn8/PyyetcAAMgyWZmKlJWpTN5uOzExUT4+6UuGSN4mve2NtGXbbDu92/bUPRUEHDt2TBUqVFDRokUlSU899ZT279+vNm3aZPGeAQCAe0VWjoCwbbZ9p7btjsVqtVo9fnUWCw0N1bfffqtJkyZJkpYuXSqLxaJ+/fqleq2/v3+a7/PXX38pW7ZsKl68uCTp2rVrHkVOPj4+uv/++x0e87St0fZsm22zbbbNttn2f23bRt2rvzfbZtuZue0LFy4oW7ZsOn78uMvX31MjAc7iFYvFku73sVgsyp79/371lAf7woULkmQPElwx0pZts222zbbZNts287ZTMsvvzbbZdmZuO3v27PL19XX7vvdUEFC0aFFFRkbaf46IiFCNGjWcvnbPnj1eb8c2iuDNexhpy7bZNttm22ybbbNtts222XZmtre5p0qEPvroozp16pQiIyN19epV7du3Tw0bNszq3QIAAADuKffUSED27Nk1evRo9erVS4mJiXrxxRdVoECBrN4tAAAA4J5yTwUBUtIQiKtJvwAAAABcu6fSgQAAAAAYRxAAAAAAmAxBAAAAAGAy99RiYQAAAACMYyQAAAAAMBmCAAAAAMBkCAIAAAAAkyEIAAAAAEyGIAAAAAAwGYIAAAAAwGQIAjLYjRs3dP36dV2/fj2rd+WudevWLUPtt2/fbqj9t99+a6h9cpcvX9bOnTv1008/GX4vT45LXFyc4e14499//zXUftasWRm0J+ln9POSUkJCgnbv3q0RI0akq11GfVYSExMVEhLi0WvDw8MVEhKikJAQ/frrr4a2a3u/uXPnGn6frJCYmKj9+/dn9W5kiuvXr+vmzZv2n0+fPq3ly5fr888/96i90b+RrLou3cuMHnMj7Y2eL853EqP3MhkhPj7eUHuCAEkffvih/d8pv1zdfeGtXLlSS5Yssf/cokULtWnTRgEBAVqxYoXbbf/9998u/3OlZ8+e6tWrl9P/evfu7XbbRn7v5Beg77//3uG5NWvWuGzbsWNHHTx40O3+pWXZsmVet5WkN954w+u2AwYM0KlTpyRJERERatOmjTZu3KjRo0c7HM+09OjRw/7vUaNGOTzXpUsXt+3/97//pXOP/8/YsWNd/udKly5d9Mknn3i97UOHDnnddsGCBS7/c8fo50WSbt68qbCwMI0aNUqNGjVSaGiomjdv7rKN0c/K1atXtXjxYgUGBmrv3r1KTEzU6tWr9fTTT2vr1q0u20ZHR6t79+4aMmSIduzYoe3bt2vw4MHq0aNHugO6kydP6u2331bLli0VGBgoPz8/l68fMWKE/vnnn1SP//DDD3r22Wfdbm/48OH2f7/55psOz/Xt29eznf7/rFarDh48qEmTJqlJkyZur01S0rnes2ePli5dqqVLl+qLL75wuMFOryNHjmjGjBlq2rSpy9cZ+S7o27ev/TWnT59Wt27ddO7cOX388ceaPXu22300+jdi5Lpkc/HiRS1atEgTJkzw+Lpkc+DAAQ0aNEitW7dW69atNWTIEI++Y3r37q3Tp08b3XUdPnxYffr0UYsWLeTv769mzZrJ39/fZRujx9xIe6Pny0h7I/cONrZrSa1atVSzZk1VrVpV9erVS9d+GPm8HTlyRO3bt7d/B4SHh2v69Oku2xi5rnXv3l3h4eGpHt++fbvat2/v0T6nJbuh1v8R27Zts5+EJUuWKCAgwP7cV1995XDyUtq6datWr15t/7lAgQLasmWLbt26pV69eqlPnz4ut92sWTOVKVNGefLkkZT0pWVjsVj06aefptl20qRJqR47ePCgPvzwQ5UoUcLldiVjv/eyZcvUpk0bSdL06dO1efNm+3MbN250uNlN6e2339bMmTO1bt06jR07VsWLF3e7r3eL8+fPq2LFipKkTz/9VA0bNlRQUJDi4uLUrVs3t3/MV69etf/7t99+c3jOk3X7jKzt98wzz9j/PWPGDI0fP97jtuvWrdPbb7+tTz/9VBMnTlT16tXTte34+HidPn06zf2vUKFCmm3fe+89VaxYUc2bN1eBAgXStV2j9u3bp5CQEB08eFB16tRRy5YtdfjwYc2ZM8dtW6OflVGjRilv3ryqXbu2Nm7cqKVLl+r27dt699133R7/efPmqU6dOho2bJh8fJL6eqxWq+bNm6e5c+dqypQpLtufPn3aPoKQL18+tWzZUvHx8Vq3bp3b37t+/fr63//+p65du+qFF17QlStXFBQUpD///FMTJ0502/7333+3//vAgQMOz12+fNlteylptC84OFj79u1T1apVdeTIEe3atUv333+/y3Z///23evXqpeLFi6tatWqyWq3au3evZs+erZUrV6pYsWIebf/YsWMKDg7Wrl27dOnSJY0fP14vvfSSyzZDhgyRxWJJ9R0QGRmpixcv6sSJE2m2vXr1qkqXLi1J2rJli9q1a6dJkybp5s2b6tixo0aPHu3RfnsrI9Ycffnll9WoUSM1bdpU2bJl87jdrl27NGvWLA0aNEjVqlWTJP3yyy+aNGmSxo4dq2bNmqXZ9qWXXtKIESNUr149DRkyRLlz5/Zq38ePH6/AwEBVr17d/vd2NzN6voy0N3LvYDN9+nQtXLhQL7/8srZs2aKQkBAdO3YsXfvh7edNSvr+XLJkiQYOHChJqlKlir755huXbYxc11577TWNHj1atWrV0rBhw3ThwgVNmzZNBQsW9KhDyRWCADl+oFN+uN192BMTEx2+WGw3/dmzZ/coJWj48OEKCwtTwYIFFRAQoKZNm3p8IbLdYEjS7t27tWTJEuXPn19z5sxRnTp13LY38nsbaVu+fHktW7ZMu3fvVpcuXVS7dm1ZLBb78++8847L9idPnnQa9VutVlksFrc9QGfOnHHaI2lr7yrwSn6xOHjwoHr27ClJyp07t0cX/+S/Z3qes/nnn38UFBSU5vOvv/56ms81adLE/u+3337b4Wd3HnjgAU2dOlU//vijXnjhBZUqVUo+Pj4eHTMpqSc8MDDQ6WfDYrFo1apVabbdu3evPv/8c+3atUs5cuRQy5Yt1bx5c+XPn9+jfTfyeRkwYIBq166tZcuWqXz58pI8H0ky+lk5d+6cvdesS5cuatCggfbu3aucOXO6bfvtt99qx44dDtuxWCx69dVX1bp1a7ftW7durdq1a2vhwoUqU6aMJLk8R8l17txZzzzzjObMmaNWrVrp9u3bevnllxUUFOTRZ9zo30jDhg1VsmRJ9ejRQ6NGjdL999+vZs2auQ0AJOmtt97SCy+8kKqnc+3atZozZ47b4G/OnDnatWuXSpYsqZYtW2rAgAF69tlnPRrl27hxo8PPv/32m5YsWaK4uDgNHTrUbXubAwcOaPDgwZKkHDlyePRZM3pNNXJdsrl161a6fk+bDz/8UIsWLVKlSpXsj1WpUkWPPPKIJk+e7DIIqFevnjZu3Kg1a9aoY8eOatasmcNnzJP9liQ/Pz89+eST6dpvo8fcSHuj58tIeyP3DskVL15ct2/fltVqVUBAgJYvX+5xW8n7z5uUdB0qWrRoqsfctfHmOUmqW7euNm3apPnz56t58+bKnTu33njjjXSPfjhDEKCkD158fLwSExPt/7Z9GN19KG35//fdd58kqUOHDpKScuY8yZsbMGCABgwYoHPnzikkJET9+vVT4cKFNXDgQD388MMu2yYmJmr79u1atmyZypYtq8DAQFWtWtWD3ziJkd87+Yc25QfYky/q3377TatXr1adOnX03HPPpav3pGLFitqyZYvHr0+pRIkSbgONtJQvX17z589XgQIFdPr0aTVq1EiSFBsbq8TERLftL1++rI8++ijVvyXpypUrbtvnzJnTIfjzlifnKKWvvvpKQUFB6tq1a7rPWenSpT2+iUypcOHC6tGjh3r06KF//vlHwcHBatWqlUaOHKmOHTu6bW/k87Jr1y4FBwdrxIgR8vX1VUBAgG7fvu1RW6OflRw5ctj/nS1bNhUvXtyjAEBK+pw4Oz/ZsmXz6D0+/PBDhYaGqm/fvqpRo4YCAgLS9QX9448/6vDhw3ryySd15MgRnTlzRvHx8fbrpCuxsbHau3evrFar/d9S0jUp+UhaWjp37qxdu3Zp/fr1unr1qlq0aOHx5/2nn37SW2+9lerx559/XitXrnTbfseOHSpcuLDatGmj5s2bK0+ePOn+Wzt27JgWL16sCxcu6MUXX9SsWbPc/q3VqVNHY8eOlZ+fny5duqQGDRpISkp5yJ7d/de80WtqRlyX/P39tXnzZjVr1ky+vr72x919Zq5cueIQANhUrFjRo2tqTEyMwsPDVaBAAVWoUMGrnvxHH33UPuqQfN8bN26cZhujx9xIe6Pny0h7o/cOkpQ3b17FxcXpscce09ixY1WwYMF0j054+3mTpHLlymn37t2yWq2KiIjQmjVr3I7OGr2uffrpp9q+fbv69eunr7/+WuvXr1e5cuVSBSPpRRCgpJPTunVr+4eoVatW9ufcfSg7duyoYcOGacqUKfah4oiICE2dOjVduVqlSpVS3bp1dfnyZYWFhenChQtug4DmzZsrMTFRvXv3VtmyZfXPP/845OK6ugBJzn9v23C0u9/7119/Vb169ewfaFtE6skHevr06Tp06JDGjRuXIZFseuXIkcOjdClnZsyYodWrV+uPP/7Qhx9+aO9dPHXqlPr16+e2fZcuXexfTMn/LcmjfOn8+fN7dOPrTPL0oxs3bqRKz3GVkvPyyy8rPj5eb7/9tr1H/E6yWq32FI/jx4/be6ozW6lSpTRw4EANHDhQZ86cUXBwsPLmzatOnTrJ399fgwYNSrOt0c+K7W9MksPfmSc9fVevXrV/ySRntVo96pyoX7++6tevr9u3b+vgwYMKDg7W9evXNWTIEPn7+9s7O5wZPHiwYmNjNW/ePFWsWFE3b97U8uXL1aFDB73yyitur4uPP/64QkNDU/1bkkcjnMOGDdOwYcN04sQJhYSEqHv37oqKitLq1avl7++vBx98MM22rkZhPRmhDQsL05EjRxQcHKz33ntP5cuXV1xcnP7991/ly5fPZduDBw9qyZIlSkhI0IABA9xev5ObOHGigoODdfHiRa1bt85+U/PPP/9o2LBhHr+Pt/z8/Ly+Ltls2rRJkjR//nz7YxaLRXv27HHZztV5cXdDt2LFCn300UcaOHCgoblitu+8L774wuHx9JzDO8no+TLS3si9g83ChQvl6+ur8ePHa9u2bfb5U+nh7edNkiZPnqxFixYpW7ZseuWVV1S/fn23qY5GrmvPPvusKlasqPXr16tgwYIaOHCgtm/frl69eqldu3Yuv4fcsVgzIpnP5FatWqWlS5fqxo0bkqRcuXKpb9++6tWrl9ub6ePHjyskJESHDh3Sww8/rICAAD3xxBMe5aiNGTPG5fsbuahlpiVLlqhv376peqgSExP1+eefO8xNcOajjz4yNDFp3rx5Gf7FaLvhcDWPIiP069fP6wlhtnQUZ9yl5Nh637117NgxPfroo/afb968qZMnT6po0aIqVKiQy7ZTp07V0aNHVadOHQUEBKhWrVrp2rbRz4szp0+fVnBwsIYMGZKh75tR3E1w8+bacOvWLX399dfavHmz3n777TRfl9ZnJSIiQkFBQR4VHbDlDGeUn376ScHBwdq5c6d2796d5usaN26sAQMGOH3ugw8+0JdffulyO99++62eeOIJ+8+HDx9WSEiIdu/erTJlyrgcTahSpYqKFSumRx991Ol13dvRS08Y/Rsxcl0yqmbNmk47MKxWq37//XcdOXIkzbaTJ0/W8OHDnaYWprxmZTSjx9xIe6PnKyvPd3KxsbEOI7PuihZklDNnzqhs2bJ3ZFuSdPToUdWsWTPV49euXdP777+f7kp1yREESE57zAoUKKCKFSt6NDRkY4tibZN8PVGlShVVqlRJTz75pLJly5bq4u9pTqI33FWccNVjlnJSq8ViUYECBfTAAw+43W5sbKzWrl2riIgINWnSRI0aNdJHH32k5cuXq1KlSnr//fddtt+wYYPq1q2r0qVLKzExUWPGjLHn4c6cOVOPPPKIy/Zr165V7ty5U/Vmfvzxx7JYLOrWrZvb30FKyskMDg5WaGioChQooObNm7ud7Omqmo3FYnEb0X/77be6evVqqjzX0NBQFSpUyKOeUm/MmjVLY8aMkZRUESt59akxY8a4LQE6adIk9erVSxUqVFB0dLS6desmX19fRUdHa+TIkS57h6tUqaL8+fPb/zZs//c0d3b+/PkqVqxYqrzsNWvWKCYmxuUxd3ZtSM5VT9+TTz6Zaui7QIECeuyxxzRs2DC3k5yT31CeO3dOpUqVsj+3c+dOtWjRwmV7oyIjIxUZGakqVarI19dXly5d0qpVq7Rlyxa3x8WIjh07OkwWTK8//vjDPo8hISHBYaj/yJEjLoNId9WmbLn2aUlr3xMTE/Xdd9+pbt26abZ1V7o4eXCRUsrPmo2nfyNGr0tGvkuS+/XXX3X69GklJCTYH3M16iQlTcB3xdWo761btxQaGqqIiAg1bNhQVapUUVhYmH0uhrsqXLZrYVr58a6+v40ecyPtjZ4vI+179+6tSZMmGRpR/uijj7Ro0SLlyZPHYW5acHCw27bff/+9HnvssTSvYZ6M3vzvf//T7du31b59e7Vu3drtKJ8kt6lbrj7nrq5paQUIniIdSHIYlrGJjo7WqVOnNG3aNJcpK0ZOrCTNnDnTq/xsSQ755M646yVw1ovpaTWKwMDAVI/FxMQoMTFRQUFB9ioNzrz++uteVz2Rki68nTp1kiR99tlnOnXqlPbs2aNff/1VM2bM0Mcff+yy/bp161JNwpOSvsC7du3qMggwUjVFktMbv5iYGG3YsEGxsbFuL/xz5851evGvVauWXnvtNZf7sXPnTt26dStVL+2WLVuUJ08ePf3002m2TV7ic8uWLQ5BgCf15w8fPqypU6dKSpoAWa5cOS1atEgXL15U3759XQYBzkqjpUdoaKi2bduW6vHu3burQ4cOLo+5s2tDcq6+MJxVi4iJidFnn32mSZMmOQxDO/PGG2/YbyiHDh3qcHO5aNEil0GA0WvDihUrtGjRIpUpU0bXr19Xz549FRQUpPbt22vDhg0u23bu3NnlDam7SeRGDRs2zH6sunXr5nDcpk6d6jLAcHeT7y0fHx+XAYD0fzf58fHxOnv2rCTpoYceUq5cudy+/549ezya+JwWo9clI5WNbObNm6eff/5ZJ06c0NNPP619+/apZs2abr9DvU3tlKQJEybo/PnzqlmzpqZPn65ixYrp+PHjGj58uEM1tbTYAnNv8uONHnMj7Y2eLyPtM6Ii06pVq7Rjxw6Pi0Mk9/XXX+uxxx5L89ruSRDw0Ucf6dy5c9qyZYu6d++uChUqqEOHDnrqqafSzOJw9j1py36Iiopy+Tl3dU0LDAw01GlCEKC0h8YjIiI0ePBgl19aRk6sJPvNrDPuFqLwZNKTK0aqUSQvi5rciRMnNG3aNK1duzbNtkaqnkhJlZdsqURffvmlOnXqpAceeED16tVzWbEgueSRtE3OnDndTvo0UjVFcrz5unTpkn0CZpcuXVym69hcu3bNafpM0aJFde3aNZdt33//faf76u/vrz59+rgMAowOGCY/3gcOHFC7du0kSYUKFXIbBBsZdZKS9j2tSbLuzrertBlPF2JKLn/+/OrZs6c9H9UVI1U0jF4b1q9fr5CQED3wwAP666+/1LJlS61bt87tKJskvfvuu4a2bbRqipHjNnz4cHu60ptvvumwlkffvn3dluMzUnksISFBQUFB2rZtm0qUKCGr1aoLFy6obdu2GjVqlNNrlk2PHj0M3QgYvS5lRGWjL774Qp999pnat2+vwMBARUdHp1pLxZmUFX2Sz2mzWCwu07+OHTumbdu2KVu2bIqPj1eDBg20e/duj0sR20ZkvcmPN3rMjbQ3er6MtM+IikxlypRJd1lPG9v+jRkzJlUQce7cOY/fp1SpUnrxxRdVokQJzZs3T+fPn9fs2bP10ksvOb3vS16mNyEhQZ9++qlWrVql+vXrq3///i63lVEVlZwhCHChWLFibm/EjZxYKenibVsgY9SoUQ6LSHTp0sXlhb1Lly5pzgzft2+f223beFONIi1Vq1Z1WxrVSNUTKelm/dy5c8qbN68OHjyo1157zf6cJ6vn+fj46O+//041ZHn+/Hm3v7fRqim27XzwwQc6ePCgnn/+eW3fvt3jtLOEhIRUw4FS0u/t7ne/efOm01S1vHnzOgy/O2ObSJyYmOgwqdhqtdrnwrhSuHBhbdq0SQUKFNCxY8fspRZv3LjhdiEmI6NOUlJ6Xnh4uKpUqeLweHh4uKHe0zfeeMOj3sKUbBW53DFSRcNoj3auXLnsQVbJkiVVtmxZjwIAKWm0qlWrVmrUqJHLG9e0GK2aYuS4GV2jwEjlsenTpytHjhwKCwuz945eu3ZNc+fO1bRp0zRt2rQ022ZEVq+R65KNke+S++67TxaLRb6+vrp48aLy589vHxFxJeXKuTdv3tTWrVu1cuVKt2kSOXPmtN9M5sqVSw899JBXa5H8/vvvmjt3bqpUJneTTI0ec6PtjX73e9veaEWmV199VZ07d1b16tUdrjHpmev00ksvafHixfZUnvDwcI0aNcrpqHFKBw4c0ObNm3XixAm1aNFCa9euValSpRQbG6v27dun2fl77do1rV27Vhs2bFDTpk21YsUKj9YeyYiKSmkhCHDhyJEjHuX3e3tiJWOLR/Xp00dLlixxyBWWkkpJLV68WLt27XLZ3kg1irScO3fObUk6I1VPpKQIfuDAgbpy5Yp69Ohh75Hfu3dvqhs9ZwYPHqy+ffvqpZdeUtWqVWWxWPTLL79o8eLFbif2GqmaIiX1cvzwww/q1auXhg8fbg+IbIGTuwt4u3bt9Oqrr2ry5Mn2z9iFCxc0ffp0e+96Wm7fvq2YmJhUvR/R0dFug91ChQrZF5gqWLCgw2JTBQsWdNlWSkp7mz9/vqKiojRnzhz7F+3Ro0ddjoZJxkadpKRj/sorr6hz58728/3zzz9r06ZNHq2mmhZ3f5/OUnL+/fdf7d6926N5J7ZeZavV6tDDbLVa9ccff7htv3v3bi1btsx+Y1u+fHn17dvX5YiPTWRkpH1UzWq16tKlSw6jbK566/z9/bV161ZNnjxZ9evXV0BAgBo2bOgQ/Hvr6tWrbq/Jf/31l1599VVZrVb7v22/h7v8caNrFBipPPbNN99o586dDo/df//9mjBhgttg02jdd6PXpYz4LmnUqJH+/fdfvfjii+rUqZN8fHzcXtOk/6sOFB8fr/Xr12vt2rWqV6+eVqxYkeq7MaWUf1fJ/+bSk7o2btw4jR49WpMnT9bq1au1ZcsWt51hRo+5kfZGz5eR9itWrNDatWs1YMAAr4uXjB07Vh07dlSlSpW87rAcOnSoBg4cqPfff1+nTp1SYGCgy4IHyW3evFmdOnVKNRcnb968mjx5stM277zzjrZt26a2bdtqw4YN6Qo2jVzT3GFisJznsMbExChfvnyaPXu2y9KJyU9sr1690t2LkHwiWcpJZe4myB04cECBgYFauHChfR8XLFigPXv2aPHixSpSpIjLbRupRjF06FCnx+zvv//WzJkzM22Cqjueztr/5ZdftHz5cnuPtu0GyV2vsjO3bt3S/v379fnnn7u9qCWf0Ossp9KT8mQrV67Uhx9+aO/5t1WjSp6n78zHH3+szZs3a9SoUapSpYosFotOnDihOXPmqF27dnr++efdbjujXblyRTt37vR4MnZKnk4i/eeff7R27VqH8/38888bqrHcpEkTl9VinM3dsE0M9iRYNTLhceXKlfZqVbbP9M8//6x58+YpICDA7WfF3TH1JP3h+vXrCgsLU2hoqI4cOaKGDRsqICBATz31lMt2KauexMXF6YsvvlBwcLCOHTum/fv3u2xvZILt008/rYkTJ8pqtWr69On2sn9Wq1UzZsxw27FipPJY8+bN03x/V89JUtOmTV2mYbg7XymvS9L/BbmeXJcyqrLR999/r/PnzysuLk43btxQ/vz53XasxMbGas2aNdq4caOeeeYZvfDCC24rjtkY+RtLrlOnTtq0aZPatm1r70nu3r27yzlaRo+5kfZGz5eR9q4qMnnq+eefd9v544mDBw/aFzF877333HbeGpmgW6VKFeXOnVu+vr5O09dcdX4auaa5QxCg1BcCi8UiPz8/jyasGDmxkmNJuiVLljiUp/OkJN0PP/ygMWPGKCgoSJ988okuXLigd99916MRDCMfrJRtbcesdOnSXqUAREZGKjQ0VCEhIW4n9qZ09uxZhYSEKDg4WImJiR4N5zkTHh6u4OBgl6MBycsX2qoM2KxZs8ajJc8zSvJqVImJiTpw4IAaNmzoss3u3bv14Ycf6vTp05I87x3+7rvvXD7/+OOPe7zfMTEx2rVrl0JCQnTmzBk1bdrUbY1lZ86dO6fhw4frk08+SXfbhIQE7du3TyEhIU4Xh7JxVXUlNjZWP//8c7q37akRI0Z4nVbTsmVLbdy4MVW609WrV9W5c2ev5jMYcezYMU2YMEGnTp3yaJJofHy8wsLC7OtCxMbGav78+XriiSfcjjTa0pE8CbRSMlpadfPmzS5HDFzd0E6aNEm+vr4aOXKkfTLw9evXNWfOHCUkJLhMBzJaUckVT9aNyYiblOHDhysqKkrVqlWz9+5aLBa3oxiPPfaY8uXLpy5duji9sUxvGU1Prw0pt7FixQqNGTNGpUqVUpEiRbRu3Tqvv4s8OeZG2hs9X0baZ8R36OzZs+0rgSe/NrrqsLVJ2YEZHh6uIkWK2NMfXQUwRjptjUg+VymjkQ4k6YEHHlD27Nntw2mnT5/W559/rhIlSrgtw2e0comRxaOuX7+uqlWr6o033tDAgQP15JNP6p133lG2bNkcVjFOi5HoMWXby5cv6/Dhw0pISHC7yJlNVFSUPv/8cwUHB+unn37SCy+8oPHjx3vU9vz58woODlZISIgSExN14cIFrV+/3h6le+rkyZP2aj+2Mp+uLFu2zH4Bmz59usMf/caNGz26gN24cUOfffaZPU2jXLlyateuXbrmRUhJqQLffPONQkJC9OWXX6patWpug4Cnn3461Q3/lStXtH79epe98c5SciwWi3788UdFRka6vbG7evWqffXdM2fOqFmzZjp58qS++uorl+0k96NOnrp586b279+v4OBg7du3T40aNXJ7vp1V+PHU/v37deHCBXtp0v79+9v/vocMGeJ2CN1IWo3VanU638HT8sUpR0dtk7Hr1Kmj3r17e/RZ/f333xUSEqLQ0FBlz55drVu39mitiWHDhunHH39Uw4YN9dxzz2nevHlq0aKF6tev79G+582bV+PGjVNcXJwCAgIUEBDgdEVZZ4yurXLy5MlUj3laKGLChAkKCgpS48aN7T3Qf//9t9q0aeM2SPZ0knx62BY92717t8LCwly+Nq3vElvHiiffNbbXplefPn1ksViUmJjo9YR4b64Nyc2aNUuJiYmaPHmyVq5cqT///NOrCfLpOeZG2hs9X0baZ8R36E8//STJsWqdu7VubIx01BmZoOsuPczV/dqZM2c82DvvEAQoqerDrFmzVLp0aZ0+fVrdunVTu3bttG/fPh05csRh8m9KRiuX5M6d221t+bS0bt3a/kV9//336/jx4w5fMu6GE9Mq5WfjKh9ywIABGjVqlCpWrKiIiAh16tRJjzzyiP766y917tzZ5e+0bt06BQcH69KlS2revLkmTpyoQYMGeTyM3qVLF8XHx6tNmzaaO3euypQpo2bNmnkcABgp82l0lv6JEyc0ePBgPfHEE6pataqkpNGcRYsWaeHChfbHXLGtnLtv3z5VrVpVR44c0a5du9I1ydVZb7wrKb/Q9u7dqyVLlqh06dIe3YjXq1dPjzzyiEaOHGlf6ddV1Y7kUl600zvqZOvVO3jwoOrUqaOWLVvq8OHD9snJ6fHHH3/Y50889NBDLrf/3nvvOcw5iIiI0Pvvv6/4+HhNmzbNbRDQqlUrtWrVyp5Ws3nzZk2aNMmjtJpSpUrp888/T5VLHhoaqpIlS7r9PZ3dwNjKmwYGBro85wsXLrSX32vZsqXefffddC2sExERoVy5cqlIkSIqVqyYsmfPnq5e0f79+6t///46d+6cQkJCNGbMGN24ccMeELirT26bO2O7hickJGjr1q1atWqV255dI4UifH19NWHCBA0fPtyhRGju3Lk1e/Zsl99DgYGBio2NVd68eSUlpYp+8cUXevDBB9WjRw+PR5KOHTum4OBg7dq1S5cuXdL48eP10ksvedTWxtn6KZ549NFHHdItPJXWgn220VFXMuLakJiYqLlz52revHnKmTNnuhcQNHrMjbb39nx52z4jKt2kNU/ME2l1YD744INuS5QbmaBru19z9ju6S9+KjY11uTaLkfmcBAFK6qUsXbq0pKQa6O3atdOkSZN08+ZNdezY0e3FN6X0VC7Ztm2b10HAqlWrlC9fPvvs9q+//lpffPGFSpQo4dEQqJFSfufPn7fXRv7000/VsGFDBQUFKS4uTt26dXP5O82ePVvVqlXTlClT7H+Q6fmSL126tL7//nv98ccf9kWU0tPeSJlPo7P0p06dqtmzZ6eaM3H48GEFBga6TYVq2LChSpYsqR49emjUqFH2IVFPAgAjvfE2ISEh+uCDD1S8eHG9/vrrqlGjhkftJk2apNDQUI0dO1YtWrRQy5YtPT5nRkaspKSAtXbt2lq2bJn9BtDTHt+5c+fK19fXXm3nhRdeUMmSJXXz5k3Vq1fPPkHLmRs3bjhMTKxbt669hzcuLs7j/b/vvvvsAYEtrWbLli1u1/EYPHiw1q5da78G/fTTT4qNjXW7IJbkPBe6RIkSqlatmtsc7cTERL399ttOb7Y9WYV13bp1ioyMVEhIiMaPH6+4uDjFxsbq5MmTHvfoS0mB0IABAzRgwAD9/PPPGjt2rBYuXOjyuO3YsUMTJ05U7ty5VbJkSQ0ePFjjxo1TtWrVPB51MlIoQkrqGEqZyhQSEuLye+i1117TwoULlTdvXh0/flyvvfaaBg4cqFOnTmnSpEluF/ObM2eOfcHFli1basCAAXr22WdTLbCXFqPrp0hJHSRt27ZV2bJl5evr69W6Elar1T46unfvXlWtWtXl6KiRa4ONj4+P4uLiFBcXl66a90aPuZH2Rs+XkfYZUenm33//1fz58/X9999LkurUqaPBgwd7tGiXkQ5MIxN0ly1b5vUqw7GxsS7XrCEIyEAHDhywf+HnyJHD7cxzo5VLEhMTFR8fn2YE7GqIyHbhz5cvn44fP65hw4bppZde0qlTpzRlyhS3F7PRo0fby5OmV/IavQcPHrTXJc6dO7fbY2brpVqxYoXGjh2rpk2belRm0saWI7tv3z5t2bJFkyZNUkxMjMLCwtSgQQO3vV5GynzaKhslr2okJV0Ekld6SktMTIzTSdN16tRRTEyM2/adO3fWrl27tH79el29elUtWrTw+MJppDf+008/1YoVK1StWjUFBQV5lHuZXJcuXezpbjt37lRQUJCioqI0a9YsPf300y4nkhtdDdUW+IwYMUK+vr4KCAhwuz6AzVdffaX169fbf86fP79Wr14tq9Wq559/3mUQkPJ8Tpgwwf5vT8pN2niTVlOiRAlt3rxZBw4csI9WNmzYUPXr1zeUa3z79m235U1ffvllhYaGKiwszKtVWG05w3369FGfPn104cIFhYSEaNy4cfYRLE9cvXpVu3fvVmhoqH755Rc1adLEbc7/e++9p40bN6ps2bI6duyYnn/+eb3zzjvy9/f3aJtGKoAYcePGDfsk988++0xdu3ZVv379ZLVaPaqws2PHDhUuXFht2rRR8+bNlSdPnjvWsWLz3nvvpev1yXk7Omrk2pBcnjx51KFDBzVs2NBhcTdX8xmMHnMj7Y2eLyPtjX6HSkkVAmvVqqX3339fVqtV27dv1+jRo7Vo0SK3bY10YC5cuND+75Qj1O7SjIYPH+71nIEHH3zQcKpiWggClHQDNnbsWPn5+enSpUtq0KCBJOnixYtuJ6GlxZN6+VJSRN26detUVWJsNziuhoicXfj79u3r8YXf0z84Z8qXL6/58+erQIECOn36tBo1aiQpKWJ1d5OQO3dutWnTRm3atLF/Uf/1119q3LixGjRo4FGPm6+vrz2//caNG/ryyy+1ZcsWjR8/3u0QsJEyn7/88ovbfXPFYrHo4sWLqapX/PPPPx5dwIcNG6Zhw4bpxIkTCgkJUffu3RUVFaXVq1fL39/f5XLtRnrjJ0yYoEKFCun06dMaM2aM/fH09tYVKFBA3bp1U7du3XTp0iWFhobqnXfecTm8ayQvX0rqER44cKAGDhyoM2fOKDg4WHnz5lWnTp3k7+/vcmXN27dvOwSVtt5Yi8XidnG2J554QgsWLEhVs3/RokUeTaQ2mlYj/d9n3SY2Nlbr16/Xiy++6LKds6HnmJgYBQcHu70hNroKa/KcYUkqXry4+vbtq759++qvv/5y237r1q0KCQnRTz/9pMaNG6tHjx6qV6+eR4sL+fr62o/xo48+qtKlS3scAEhJ5zZ37txat26dw6ieJwFrytTS5G3dlfBNvo0DBw7YA05P/77DwsLs+eTvvfeeypcvr7i4OP37778e9a5mxPop3pZWNTI6auTakHIf3M3HSsnoMTfS3uj5MtLe6HeolHQjnzxo7Nevnz777DOP2hrpwPR0VPrVV19NNcHYSA0eV20jIyMNVbkjCJA0ceJEBQcH6+LFi1q3bp39S/+ff/7xutybJ/XypaTZ7EYWxjFy4b9y5YrTWuY2rlKKZsyYodWrV+uPP/7Qhx9+aL/gnjp1Sv369XO53W7duqlVq1YKCAhQkSJF1KFDB3Xo0MFeQ92dlMOuOXPm1DPPPKNnnnkmzS9SZ7Jly2a/eN+6dUtff/21Nm/e7DbdwRlPb65eeeUV9ezZUwMHDnQo3bh48eJ0LfBUtWpVVa1aVcOHD9dPP/2k4OBg9erVy+XxM9Ib70np0vQqWLCg/ve//7mtPJQWT495cmXLltWgQYM0aNAgnT59WsuXL3f5+tu3b+vy5cv2/HBbr9Xly5fd3piNGzfOHnBVrlxZFotF4eHhqlSpkkeBrqu0GncuXLig9957T5GRkfL391fbtm317rvvavPmzWrbtq3b9s6Gnv38/NS1a1eH0oTOGF2F1RVP5jO88cYbmjlzprp16yYfHx/dvn1bP//8sypWrOi2WMLly5cdrolXr151+NldmqWRQhHOUktt3AV/ttKY+fLlk4+Pj+rWrSsp6XvIk5vhb7/9Vk888YRq1aql8ePH6/DhwwoJCVHbtm1VpkwZrVy50mV7o+unGGFkdDS5lNeG9ExS9mbFYKPH3Eh7o+crK8+3JOXLl89hztPOnTs9CpwkYx2Ynvrzzz9TPXb+/HmXI8euqhK9//77OnLkiCIiIlSnTh0VLlxY4eHhWrp0qQ4fPuy2iqQrlAh1Ij0TRYzWy+/QoYPXQcDChQv13XffKV++fDpz5oy2bt0qHx8fnTt3TqNGjfIov/y5555L8/n03JTevHlTJ0+eVNGiRd3WaD527JhCQkK0c+dOFStWTAEBAXrmmWdUuHBhj7aVvBRX7969HS52npbpioyMVGRkpKpUqSJfX19dunRJq1at0pYtW1xOwEl+c9WsWTO1a9fO4eYqecpHWo4fP66VK1fay3SWK1dOffr08XhFVmcOHDig5cuX64MPPkhXO1tvfGhoqEeTrWJiYuwXuDJlynh84XXFXb39jDjm3l5AP/nkE33yySd6/fXX7Xna4eHhmjNnjjp16qSuXbu63faff/5pX5+gQoUKKl26tEeLXn355Zcub2Zc5YH27NlTjz32mB577DHt3btXBw4cUOXKlTVmzBhDvUaeMFo67+GHH3b6uUrPYoIpj1t0dLROnTqladOm2QM5Z9zNl3B3TbTdmEmyz1ey2blzp9tqc0YcOXJEFy9eVP369e03/mfOnFFcXJzbim1pnaPExER999139qAiLT169EiVWmpbPyU0NNTtnISMYBsd/fzzz3XhwgWNGjXK7eio0dLH4eHh9rkY/fv319SpU3X06FGVLFlS06dPdzlnyugxN9Le6PnK6vN97tw5zZgxQ8ePH5fFYlH16tU1fvx4t4vDSUmdiKtXr1ZUVJQ6depk74z74YcfdPbs2QwJYJydmxYtWmj69OlptnE1yhAUFKQ9e/bo4Ycf1pkzZ/TUU09pw4YNGjBggLp37+6QgpZeBAEyNlHEVb38sLAwt8Pfu3fvTlWyMTo6Wvnz5/eoNyMzLvyemDRpknr16qUKFSooOjpa3bp1k6+vr6KjozVy5Ei1b9/eo/f58ccfFRoaqp07d+rBBx9Uq1at1L17d5dtkgdOKYMoT4KqFStWaNGiRSpTpoyuX7+unj17KigoSO3bt1f//v1d3iRl5c2VlDR8OWXKFPsN8cCBAzV27FjdunVLgwcPzrSbjBs3bmjcuHHau3evSpUqZZ8I5e/vr6lTp3q1NoSNuyDA6DGfPXu2vvjiC68voHv27NHSpUu9Wnk3ufQuemWkZn27du0chscbNWqkvXv3ery6ZvK61G+++aZGjRplf65v37768MMP02xbs2ZN+5wRq9Wq06dPq0KFCh6njhnpGHElIiJCgwcPTtdE0/QyWkfctqhd8vLBzz//vNuFH40GH0ZrnGfWOfOWbXR0586dLkdHq1SposqVK9vz2lOm5bpbNKtLly7q37+/YmNjFRQUpGnTpqlJkyb6/vvvNWfOHG3cuDHNtkaPuZH2Rs/X3Xa+M4OzlB5POTs3Ro5Zq1attGnTJuXKlUvR0dFq0qSJtm/f7tHIqDukA8nYRBFX0dsbb7zhNggIDw9X2bJlVb58ecXHx+vFF1/UyZMnlS1bNgUFBdmHqtJSq1atVI95mjdsJP47fPiwpk6dKimptm+5cuW0aNEiXbx4UX379vU4CKhRo4aqV6+uJ598Um+99ZaCgoLcBgFGqwusX79eISEheuCBB/TXX3+pZcuWWrdunUc98TExMXrttdckJd1YNWrUSG+99ZbHN1eueo6mTZvmcsVBKake9ZQpU/TYY48pLCxM3bp10/Dhw9WrVy+3265SpYr8/PxSrS4pyW0P6/z585U9e3bt3bvXHmxeu3ZN06dP1/z58zVixAiX205rdMVqtbqdFG70mO/du1dbt271+gLq7++frrzw5FwteuWOq5t8d4t9WSwWh4IDDzzwgBISEuw/u0uLsd2ESko1x8bdpOYdO3a4fD6rFCtWzG0Kl5HgRzJW/vDgwYMaN26cOnfubL9+njhxQt26ddPMmTNdjmC88cYb9puOoUOHOtyALFq0yG0QcObMGafr0ngauBlJLc0M1atXV/Xq1d2md8ydO1ehoaH2TpWAgACPepNtbt68aT+2S5Yssf+7Xr16bj9rRo+5kfZGz1dWn+8XXnhB77zzjn3EMCYmRsOHD9eyZcsybBvOUno85exv3ZPy32nJmTOnvbPKz89PZcqUyZAAQCIIkGRsoogrntxkBwcH2ycfbdy40Z7ff/bsWY0cOdJtEGDEmjVrdPPmTYdF0vbt26cHH3zQbfCSvOf3wIED9onIhQoV8uhG/Pbt2zpw4ICCg4P11VdfqUaNGhowYIDbfGMpKZUnKChIVqvV/m8p6Xj/888/btvnypXLnuNdsmRJlS1b1uNUHKM3VxMnTrT3HD333HOaNm2aFi9erO+//17Tpk1z2XNkY7sZeOaZZzR37lyPAgApaS7G8ePHVadOHbVq1cptwJFcWFiYNm3a5LBI1P3336/Jkyerc+fOboMAV+XNmjRp4rKt0WNu5ALqKj3EYrG4nDhodNErV9x1MMTGxqYqOGCrKOSu4IDtNd48JyXdGNl6VhMSEhyuFUePHnU7AdTTEonpdeTIEbcpWEaCH8lYB0VQUJCWLl3qMAfE399fAQEBGjFihMteRKO110uUKOF1r6eUdD33dqGuzBQaGupQyCAlW+nduLg4hYWF6c0331RUVJReffVVPfnkk27fP/k5TVke1N29g9FjbqS90fOV1ef78uXLDimD+fPn16VLlzJ0G0aqqNnuSZKzFfGwpT1v3LhRu3btUokSJTR48GCXc6aclSNNPr/AyOeIIECZN1HEkw+Rr6+v/XX79+9X27ZtlT17dpUrVy7DJqmkpX///mkuknb06FGXdakLFy6sTZs2qUCBAjp27Jh9cZUbN27o5s2bLrc7btw47du3T9WrV1dAQIAmTJiQroWukvfOJf+3JI0cOdJt+5SBw6VLlxz+aF2VdTN6c2Wk50hK6n1P3quemJjo8LOrPPHAwEAlJibq0KFD2rRpk6ZOnaq6deuqe/fueuihh1xuN1u2bE5Xic2VK5dHVVeMlDczesyNXECdXZhjYmK0YcMGxcbGugwCjC565Yq7G7udO3d6XdlM+r/FaWxl/GyfMU/K+A0bNszeE92tWzeHXunAwEC3KQw5cuTQn3/+qdKlSysxMVFjxoyx10OfOXOm24Dd2SKIMTExypcvn8Pibc4YCX6k/+udtVqtDj21VqtVf/zxh8u2N27ccDoJvHz58kpISPB4v70ZHc2RI4fX1XmkpO+D9Mwhu1M8He328fFxOkLqjpFyl0aPuZH2Rs9XVp/vnDlz6vTp0/a/l99++82jldQzyg8//KCZM2fa53rduHFDfn5+9tF0Z+uZTJo0yT5/8eDBg5o3b54mTJigU6dOafz48S5L5CYvTSoZW/U4JYIAGat046qGeWxsrNtt58mTR99++638/Pz03XffacqUKZKSIu34+Pj0/zLpYGSRtJkzZ2r+/PmKiorSnDlz7DdLR48eVadOnVxut06dOmratKk+/PBDzZw5UzNnzkxXnrWrSgyRkZFu26cMHFL+7MoXX3zh8WudMdJzJCVNVEveq16nTh2Hn90tGuLj46N69eqpfPnyCg4O1pIlS1SpUiW3QcDNmzftF7zkPC1fePv2be3bt0958+ZVnTp1tG3bNh05ckSlSpVym5dvZJEVydgFNPmw9qVLl+yl8bp06WIfMUxLRi165Yy7G7tOnTpp7NixLlNIXEn+OXP2mXPFaK/0ypUr7deQzz77TKdOndKePXv066+/asaMGW4LHqRcBNE2T8uThZyMBD+SsVSonDlz6vfff1e5cuUcHj99+rTbOTdGgg/J2GJDtu1kFVelVd3V/LcVRYiIiFDTpk01cuRIt9fC5IyUuzR6zI20N3q+snoq6dixYzVw4EA99NBDslqt+vvvv/Xmm29m6DZc/Y7Tp0/XwoUL9fLLL2vLli0KCQnRsWPHXL5fYmKi8ufPLylp8b/nnntOLVu2VMuWLd2mT9vSR+Pj4x1WEzcyIdiGIEBJN2MDBw5M9Xjt2rXtiyqlxWgN88DAQM2cOVMXL17U6NGj7RMdv/nmG8MXifRI7yJphQsXts8JSK5u3bpuqxrExsZqw4YNGj58uEOZzHnz5un8+fPq3bu32/01Ui7r119/dTlE7Mp3332n2NjYVGlLn3/+uQoWLOj2BsnoQikNGjRwqKGeHrZKQLt27VKOHDnUokUL7dixw6PSjYUKFbIHqCkVLFjQbftx48bp33//1Y0bN5QjRw7lyJFDDRs21NGjRzV27FjNmzcvzbZGFlmRpI8//tie5+2N8+fP64MPPtDBgwf1/PPPa/v27W5TkGyKFi3qsOhVcHCwx4teGelgmDdvnmbOnKl169Zp7NixKl68uEf7a2N0PoKzfzv72Zns2bPbRzG+/PJLderUSQ888IDq1avndJg9JSO9q0aCHykpyL58+XKqogzHjx93W/3s9ddfV79+/fTss886XBc3btzotqSsn5+foZSAGjVq6Pz58/Zj9+6779pTFcaNG+f2xthIaqlRRkqrvvbaa6pUqZLKlCmjn3/+OdVNvZFj6o7RY26kvdHzlZXn21b9KDg4aeV7KWkCfUaPBLi71hQvXly3b9+W1WpVQECA23LTUlJ6ZI4cObR//3699dZb9sfddaQlJCQoKChI27ZtU4kSJWS1WnXhwgW1bdtWo0aNMlSYg+pAcj58nFxmVpM4fPiwR18umSEwMFDx8fHy8/Ozl+z09fXVxYsXNWDAAG3atCnNts5Koybn6uLZsmVLffrpp6nyc69evarOnTu7vckwWu3FSFWF5557TgsWLEhVBjUyMlKvvfaax8uue8vIvlerVk0VKlRQixYtnN74Z+ZkrjZt2mj79u26efOmGjVqpAMHDtgDzbZt22rbtm1ptjVaicLIMXv99df1ww8/qFevXurQoUOqLxpPg4GU/vrrrwyb2OXK7t27NWXKFNWuXdvh79XIzY27ak6PP/646tevL6vVqoMHD9rnQFitVn3zzTepKqql1LVrV7311lvKmzevnnnmGa1fv94+xyAgIEAhISFe73tme/nllzV48OBUQcDRo0f1wQcfpBqVSi42NlanTp3S3r177eWDy5cvr0aNGqlKlSou5zMYrTRjW+H4vvvu065du/Tmm2/qrbfe0q+//qrt27drxYoVLtt3797daWrpmTNnVKVKFZejylnJ3WfR08WhvGH0mBtpb/R8ZfX57tWrV7pXpE7JXUqPK71799aiRYsUFBSk+Ph4FSxYUN9++60++eSTNNts2LBBq1atUu7cuZU7d277+QkPD7dno6Rl0qRJypEjh0aMGGEf0bx27Zrmzp2rhIQETZs2LX2/fDKMBCj18PGd9Pbbb6tYsWIaM2aM2/r6Gc3IImlGctKsVqvTLzR3k/ZsjFZ7iY+Pd5raYmMrb+jMtWvXnJ6nokWLul1BNqu9/PLL9hvB9E7qcrV2guR+aNp285wjRw4VL17cYaTJXe66kUVWJDmkdTjjat8PHz4sKamsrC2f0/a5cTcfwUiJz4zw22+/afXq1apTp46ee+45Q0UOknPXb/TGG28oJiZGpUqVcrhOnDt3zqOqYWPGjNHAgQN15coV9ejRwx4A7N27175WQ2aZNWuWfZRw5cqVDqOSY8aMcVv//K+//nJamrlmzZr2Yfy0TJ06VR07dkx17Q0LC9O0adNczmdIuchZSu4CfB8fH3tAu2vXLnXt2lWPPPKIHnnkEZfva2MktdSoy5cvKyIiwj56snnzZsXFxUlKmlhdrFixNNtm5k2+O0aPuZH2Rs9XVp5vKWktkWHDhumZZ55x6IhJT/aENyk9NgsXLpSvr6/Gjx+vbdu26erVq1q8eLHLNl27dlXjxo116dIlh+vYAw884Hau0jfffKOdO3c6PHb//fdrwoQJhkdeCAIkjR49OtXCF3fKmjVrtG3bNvXq1Utdu3ZVly5dHL6sve1p9MTZs2ftqSXJJ55Vq1ZNR48eddnWSIpFqVKlHFb7swkNDfXoRt5ouayIiAgFBgY6vZmxWCwuexgSEhJSVTyRkgKLzJ7DIUknT550muftyUJKQ4YM8Xq7rqr7SO4vvkYqOhUoUMDQKEVsbKzL/Xe1767mgLi7GU7++Z4xY4bGjx/v8vUZafr06Tp06JDGjRvn9byAtLhL6fn888/VsWPHVDdY165dU2hoqNtyq7Vr13a6Wmvjxo0zPUXy0KFD9n9v2bLFIQj49ddf3ba/fv26V89JSeVAneU1N23a1O211mi1Fh8fH0VHRyt37tw6cOCAQ1lsdyV8U0pvaqlRb7zxhpo3b24PAhYtWqR27dopPj5e8+bNc3mDlZVZAEaPeUadM6Pn606fbylpLaVcuXKl6txJ7/XBm5Qe6f86LJ2lBqdl+/btatOmjYoWLarvv/9ejz32mCSpSJEiWrNmjcuO1bS+aywWi+H5GQQBkke52Jmpbdu2qlChgnr06KFVq1bZT6wnlU+MMFLFw5aL543AwEANHjxYa9eutV+4f/rpJ8XGxrpdsVMyXi6rdOnSXg8ltmvXTq+++qomT55s72G6cOGCpk+fbi+TmpkqVqxoKDVm9+7dWrZsWboXvho/fnyaIzUnTpxwu10jFZ1y585tqMfuwQcfzNBe9yNHjig4OFi7d+9WWFhYmq9LXvr07bffdlsKNSMVKVJEmzdv9rpCkG0+QvJRD8mz+QhGbmZtfvnlFy1fvtwhLaZPnz5uF0DManXq1NF7772nV155xeHxxYsXu51f5urGzV11IKPVWgYNGqSOHTsqMTFRDRs2tPdUHj582KM5FnXq1NHYsWPl5+enS5cuqUGDBpKkixcvGqpS5YnTp087fN5y585tPxbPP/+8y7ZZmQVg9JgbaW/0fGXl+ZYyZhQ1b968iouL02OPPaaxY8eqYMGCHt9Qf/TRR1q0aJHy5MkjHx8f+/2as84Lm2XLltk7XadPn+5wf7Vx40aXQUC9evU0ffp0jRw50t4Bev36dc2ZM8ejUrauEAQoaxe+uH79uhYuXKi9e/dq7ty5d3QysJEqHkZSLEqUKKHNmzfrwIED9soODRs2VP369T2aOJiZ5bLcGTRokFauXKlu3brZe/5z5cqlvn37elyvP6usXLlSISEhXk3I7t27t5YtWyY/Pz+Hx/fv36+JEye6vBmWHCs62dKmPC0La2SRFSljKlkcO3ZMwcHB2rVrly5duqTx48frpZde8rh9RpUG9VStWrV05MiRNJ9//PHHXbY3UvDA1c2sJz2UwcHBevfddzVw4EB7dbZffvlFw4cP19ChQ9W6dWuv980dW6pgYmKibty4YU8b9GRROykpWB47dqxatGihypUry2KxKDw8XJUqVXI7ubdSpUr67LPPUnUmbNu2LVXFoJSMfsaffvppNWnSRNeuXbNXMJGSRoXffvttt+2NpJYalXKEJXlutbu1HdK6WU5MTNTnn39uaJK5O0aPuZH2Rs9XVp5vKemcf/rpp/rtt98cAuT0BAfepPTYrFq1Sjt27HA47u4Yud+aMGGCgoKC1LhxY/tn8u+//1abNm00YcIEj/fBGYIAZe3CF+3bt1eHDh20ceNGQzO8vWGkioeRFAub+vXre7VwktE8TmdVjZxJa9nw3r17q3fv3vYRJE/nMmQETxdS+uCDD9S/f3+Hx9atW6eNGzc63HzXrVtXS5cuVefOnV0GAT179lSvXr20bNkye5WTTZs2adGiRVqyZIlH+7RixQp9+OGH9pupXLly6YUXXlDv3r1dft5sq3lLSaXVAgIC7D/PnTtXw4cPd7nd999/36P96969e6qJ3XPmzLHXqG/ZsqUGDBigZ5991qPzkLx0YfIbShtXc0+MSn4j9M0339grUklJf9vugoAbN25o3bp1Onv2rCpXrqzOnTt73MPn6mbWWR38lBYuXKhVq1apSJEi9seqVKmiBg0aqG/fvpkaBCSvglWwYEGHilieVMHKmzevFixYoD///NN+vkeMGKHSpUu7HXGeOHGiBg0apI0bN6pq1aqyWCz6+eefdfXqVZc1xCW5LOLgCaNzfnx8fJxWLbN1NmSm/Pnz6+eff7aPEuXNm1dSUgdHyk6LlK5evaqPPvpIERERatKkiRo1aqSPPvpIy5cvV6VKlRyuNRnN6DE30t7o+crK8y0ljR4/+uijOnDggIYNG6Zt27alu9CCNyk9NmXKlPFofZzkjNxv+fr6asKECRo+fLhDiVBPyh67QxCgrF34Yvny5al6G6Kjo5U/f/5M7z20pdVYrVanKTauZHSKRXqEh4dr4cKFyps3r/r376+pU6fq6NGjKlmypKZPn64aNWq4bP/oo496tB1ny4a7S8Xp0KGDR+/tLU9HpYKDg1MFAVar1WnvuydBTIcOHZQ7d2717t1bixcv1rZt2/T5559rzZo19rK2rsybN0+nT5/WunXr7J/3v/76S7NmzdKVK1dc9h5t27bNnu+6ZMkShy/mr776ym0Q4GpiYHLOcrZ37NihwoULq02bNmrevLny5Mnj8d9l8tKFKW8o3c09MSp5mkOHDh3SXQ1o9OjRyp49u+rUqaO9e/fq1KlTHvc4GbmZlZI6ZZIHADZFixZ1W/fdKFcVOtKjdOnSKl26tOLi4vTFF19o9uzZOnbsmPbv359mm2LFimnjxo06ePCgfvvtN1mtVjVq1MijjhKjedhG5/y4Kmfrbq6SUSNHjtSQIUPUuXNn++ftl19+0caNG92WeRw1apTy5s2r2rVra+PGjVq6dKlu376td999V9WrV8+0fZaMH3Mj7Y2er6w831JSL/jChQu1fft2tWrVSi1btvSotHhy3qT02Lz66qvq3Lmzqlev7tB56+qeyEh58J07d+rWrVtq1aqVw6TiLVu2KE+ePB6tr5QWggB5PpR69erVDO/13bx5swICAlS+fHnFx8frxRdf1MmTJ5UtWzYFBQXZVy/ODMnTalKm1LhLscnKyrITJ05U//79FRsbq+eee07Tpk3T4sWL9f3332vq1KnauHFjhmzH2UXO2eRA29BxVFRUpgcBnnJ2foxOyG7RooVy586tbt26qXLlylq7dq3HKT2hoaHasWOHQ29yyZIlNW/ePLVu3dplEGB08SlPOTvfYWFh9jkA7733nsqXL6+4uDj9+++/DsvWO5NRN5RGedOZcPr0aXvZVk9HPmyM3MxKSZP9f/jhh1Q59N9//73bnl2jvvvuO5fPuxtBkZJSisLCwhQcHKzjx48rNjZW8+fP93gEs169ehk+mdsdox06RtfLMaJOnTr6+OOP9dFHH2nz5s2yWq0qX7681q1b57aD4ty5c9q+fbukpFHWBg0aaO/evU5XR89oRo+5kfZGz1dWnm/p/6rNFSxYUAcOHFDRokV14cKFdL2HNyk9NmPHjlXHjh1VqVIljwPw7777zuPvy5Tef/99p51G/v7+6tOnD0GAUZ4Opfbs2dNQLWZngoODNWjQIElJk0MsFosOHDigs2fPauTIkZkaBBip8GMkxcKomzdvqkWLFpKSeoZt/65Xr55Hq9cakbz0WUJCgj799FOtWrVK9evXT9XznpWc3fhNmTJFQ4YM8WpCdvKJoteuXdPPP/+sp59+2uOeH6vV6jSdxJMFXqxWq+Lj45WYmGj/t+3m/04Eo7Vq1VKtWrU0fvx4HT58WMHBwWrbtq3KlCljLxvqzB9//KGgoCCdPXtWlSpVclgM8G6X/Fx5O9HP25vZyZMna/Dgwapbt67D3JVDhw55VDjACGeBm8Vi0Y8//qjIyEi3k+CHDRumH3/8UQ0bNtRzzz2nefPmqUWLFl6lPd5JX3zxhSpXruz1wlXXr19X9uzZUy0eVaJECfv1OTMVKVLEbS66s/TO5NefbNmyqXjx4nckAJCMH3Mj7Y2er6w+3wMHDlRsbKzGjBmjGTNm6Nq1a+kuS+pNSo/N/fffn645YVJSx6q39483b9502gGdN29et0UD3CEIkOdDqZlxw+Hr62u/Ydu/f7/atm2r7Nmzq1y5ckpMTMzw7SVnpMKPkRQLo5Lf4KbMicvI8mRpne9r165p7dq12rBhg5o2baoVK1Z4fDzuFGf7/sADD3g9Idtoz0+1atW0fPlyvfDCCw6PL1u2zG3t99jYWLVu3dr+O7Vq1cqhglZG8eTvu06dOqpTp44mTpzodqGhcePGqUOHDqpTp4727Nmj6dOna/78+Rm1uy49++yzkpJ+pzNnzjj8bLFY3JY+tA1d29rYhq/vxHB/1apVtX37dm3fvt3+Oa1Vq5YmTZqUqSWTpdTVYvbu3aslS5aodOnSbif2Sknlh3PlyqUiRYqoWLFiyp49+x2fFO6NefPmacOGDZKSas5v377dvvDUpEmT3C5c1bdvX6eLR+3bt09Hjhy5KxYLc5bemTxFQ9Id/ZwbPeZG2hs9X1l9vm1lhqtUqaLVq1d79V3gTUqPTY0aNbRgwQI1a9bMoa2reV5G7h9v376tmJiYVKMW0dHRhjs+CQLSITMu5nny5NG3334rPz8/fffdd/a84du3b2d63XkjFX48lRnHzEhunZTUQ2tbgChlzf+jR4+qZs2akpwvG/7OO+9o27Zt9tUana28m5m2bNniUcqRs0pF//vf/7R582avJ2QbMWXKFI0dO1br1q2z3/SHh4erXLlybi+6rmr1e6J3796aNGmS20mpzr40jx8/rnPnzqlVq1aSklZujImJkST16dPH5ftdu3ZNXbt2lZS0rH3yCkmZ7eLFix4tOJSWX375JQP3Jv3uu+++VClIiYmJqSaGZ5aQkBB98MEHKl68uF5//XW384xs1q1bp8jISIWEhGj8+PGKi4tTbGysTp48qUqVKmXyXnvvXl4szFPOvouy8nPOYmHeCwwM1IgRI5Q9e3b973//099//62hQ4eqe/fuHr+HNyk9Nj/99JMkx3VF3M3z+ueff1zOUXn99dfTfK5Xr14aMGCARo0apSpVqshisejEiROaM2eO4aqEBAFZLDAwUDNnztTFixcd0gW++eabTC8XmhEVfrKC0Qu3p+sjOPvSXrRokXLnzq1169bp448/tj9+pyZEff311/rkk080adIkVa5cOc3XderUKdVjWTmPw8/PT4sWLdKff/5p790dPny4PRhz5e+//3b5/IMPPujy+ZdeekkjRoxQvXr1NGTIkDQrKjjLN583b57Dxfn777/X5MmTdf36dbeVkRISEhwqAqWsEJSZ1YEKFCiQqeUNM1Pyii1NmzZVw4YNtXbtWn344YeZXrHl008/1YoVK1StWjUFBQV5dY6KFi2qPn36qE+fPrpw4YJCQkI0btw4xcTEaNeuXZmw18bdy4uFGWGkCpZRLBbmvR9++EF58uTR9u3bVaNGDa1bt07PPvtsuoIAb1J6bLyZ75UzZ06HSnfp8dxzz6lQoUKaO3euw9opL774oqH5ABJBQLp4kr+cXuXLl9eyZctSPd6gQQP7AhyS85KPRhmp8BMXF+dReaqsvPFMi5GJpuHh4ZmyT55688039cMPP2jChAmqUaOGunbt6nDRdXXTYqQnIqPYqqbY/PHHH1q5cqUmT56cZptmzZqpTJky9pzI5OfIk9SWevXqaePGjVqzZo06duyoZs2aOfQKuvq9Y2JiHNKVypcvb5/guWjRIpfbTV5uUnKsEJTZ1YEuX76cZWufGJW8Ysunn36qDz744I5VbJkwYYIKFSqk06dPa8yYMfbHPU2jSql48eLq27ev+vbt6/Q6f7e4lxcL85Sza7uRKlhGsViY927cuKH4+HiFhoaqR48eXpVX9yalx+bff//V/Pnz9f3330tKOh6DBw92WSzCz8/P0Gjw008/7faG35v7xLvjr/MucPPmTe3bt8+eJ1+uXDk1atTI4cbfln+XFZyVfDTKyA26LbXEHXd5jVnBSL1eZyIjIxUaGqqQkBCH0YHMUrt2bY0YMUKvvvqqQ7UidzeWRnoijAoPD1dQUJAiIyPVrFkz9ezZU9OmTdORI0fsC0KlZfjw4QoLC1PBggUVEBCgpk2bprs+ckxMjMLDw1WgQAFVqFDB496qf//91+Hn5DnjFy9edNk2K6sDZeXaJ0ZlZcWWzFyhffXq1W4/61nlXl4sbNy4cRo1apTb1ExnHSBGqmAZxWJh3nvuuefUuHFjPfroo6pbt67Onz+f7so73qT02IwZM0a1atXS+++/L6vVqu3bt2v06NEuO4YeeOCBdO2fN7y6T7TCev78eau/v7+1R48e1pkzZ1pnzJhh7dGjh7VFixbWCxcuZPXuWa1Wq7V9+/YZ/p4RERFet82M/blT6tSpYx06dKh1yJAh9n/bfn788cc9eo9//vnHunr1amv37t2tjzzyiHXu3LnWY8eOZfKeJ52z1157zdqjRw9reHh4utpm5Tl79tlnrRs2bLCePn3aumzZMmu9evWss2bNsl6/ft3j9zh79qx18eLF1ueee846ZMgQ608//eRRu+XLl1uffvpp6yeffJLu/R4yZIh106ZNqR7fvHmzddCgQW7bR0ZGWufNm2cdMmSIdciQIdZ58+ZZIyMj070f6dWhQ4dM30ZmSbnv9/LvktxTTz2V1buQpmXLltn/HRwc7PDcW2+95bb9mTNn7P++ceOGw3NHjhwxtG/ubNiwwdqiRQvrmjVrrImJielqm5WfNaPH3Eh7o+crK893Wm7evHnHttWuXTuPHkvu/PnzLv/LCN58x1us1rswX+MOGzFihGrXrp1qiHzt2rX64YcfNGfOnCzas//TsWPHDC9PmjItwppshr3FYtHu3bvTbFu/fn2XE1TvRGqJt9xVdXFVz3vdunUKDg7WpUuX1Lx5c7Vs2VKDBg0yPHnVU82bN9fgwYPVvn37dLft16+f3n77bfuKmgcOHNAXX3yhBx980OshVU+1b99eW7dutf/s7+/vVa/rjz/+qJCQEIWFhWnUqFEe5UNOnjxZw4cPd1oP+tixYy4Xj4uMjNQrr7yiPHnyOCxEZFv4ylXJz4MHD2rcuHH2RYwk6cSJE9q4caNmzpyZqbXgO3To4HZhu7tVtWrVlD9/foeKLfny5bsj824ycxGkJk2a6MsvvzSwd5kn+fdLyu8aT757jLY3yrYWww8//KAOHTo4nENXqW+2z5r0f1Ww7tRnLSuP+b1+vr1Jx8nI9+jZs6d69OhhX3Nn586dWr16tcvR386dO9ur2tlYLBZFRkbq4sWLbssPe8KbY086kJKGhd56661Ujz///PMu64DfSZkRq9mG3G1u3ryprVu3auXKlfYKOWnJytQSo/bv359q5T1PzZ49W9WqVdOUKVPswcKdLAG4efNm3Xfffbp8+bJ9eDEhIUFbt27VqlWr7EPbzsTExCguLk558+bV8ePH9dprr2ngwIE6deqUJk2apFmzZmXafqecJJszZ06PJ8keP35cISEhOnTokB5++GEFBARo1KhRHtd4njhxokJDQxUREWHPnQ0LC9OSJUsUFxfnEJykVLRoUW3cuFEHDhyw76+zha+cLSQYFBSkpUuXOlQl8vf3V0BAgEaMGJGpN+mern1yN8rKii1GS+EmX09D+r9rg+0G825lNTBPKiPaG5UzZ07ly5dPcXFxunz5ssfpfln5WcvKY36vn29v0nEy8j1mzpypGTNmaOrUqbJYLKpevbrbEsIpFzH97bff7N9BQ4cO9Xi/XfHm2BMEKHWteU+fyyzR0dHKnz+/w82l0TJQzth+t/j4eK1fv15r165VvXr1tGLFCpUqVcpl2/z589/RkocZKW/evBo3bpzi4uIUEBCggIAAj8v32XrPV6xYobFjx6pp06bprp5hxL59+zRhwgTlzp1bJUuW1ODBgzVu3DhVq1bN7UUoISHB3nP92WefqWvXrurXr5+sVqvatWuXqfttZJJsly5dVKlSJT355JPKli2bvvrqK3311Vf2592NOk2YMEHnz59XzZo1NX36dBUrVkzHjx/X8OHDU62enBZ3ZVWdLSR448YNp2VJy5cvb3iBF3fu5oos7mRlxZaU/vjjD3sd7oceesjtaFlWr6TqLavBBfkyep5VeuzatUtz585Vy5YttXnz5ju22JdRRo+5kfZGz1dWnm9JOn/+vN577z37z/369dNnn312x96jVKlSHi+YmtKxY8e0ePFiXbhwQS+++KJmzZpl6Ho9e/Zse0lWb+4TCQLkupJGZk+uW7BggQICAlS+fHnFx8frxRdf1MmTJ5UtWzYFBQXZVwx2VvLRqNjYWK1Zs0YbN27UM888o48++kiFChXyqG3BggUzfH/ulP79+6t///46d+6cQkJCNGbMGN24ccMeELiqJ587d261adNGbdq00dWrV7V792799ddfaty4sRo0aODRgkJGLFy4UBs3blTZsmV17NgxPf/883rnnXfsi6e4YrVa7cPcBw4csFfBuBMXbSOTZL2tYGVz7Ngxbdu2TdmyZVN8fLwaNGig3bt3Z+gaD86+dHPmzKnff/9d5cqVc3j89OnTmZp6da/Lyootc+fOla+vr73k4QsvvKCSJUvq5s2bqlevnl599VWX7e+mACY9XC3I54m//vpLr776qqxWq/3fUtLfxfnz5zNtv6Wkgh2LFy92ukJuZGTkXbtKt9FjbqS90fOVledbkvLly6fPP//cIR0nPalARt/j4sWL+uSTT3T+/Hndvn3b/rir76qDBw9qyZIlSkhI0IABAzKsBHtISIg9CPDmPpE5AZLbpehtXwiZoVWrVtqxY4csFos++ugjhYaGavny5Tp79qxGjhyZqcP6jz32mPLly6cuXbo4zZd2lUs5d+5cDR8+XFJS7/RTTz2Vaft5J/z8888aO3asTp065TI3L60v+X///Ve7d+/OlGAtuZQ5f61bt9aOHTs8artw4UJ99913ypcvn86cOaOtW7fKx8dH586d06hRozK9stHJkyeVJ08ePfjgg/rhhx905MgRPfTQQ2revLnH73Ht2jVJSlcliDuRs+rsPW1zAp599llVq1ZNUtLn7E7MCbiXtW3b1p7WduvWLXXp0iXTc4xtOnbsqPXr19uDNNvcCqvVqueff17r1q1z2f61116zBzD79u3Tgw8+eMcCmKxkZJ5VRjhy5IgiIiJUp04dFS5cWOHh4Vq6dKkOHz58187DyEpGz1dWn+9z585pxowZOn78uD0dZ/z48W4zGDLqPbp06aJGjRrp4YcfdkhLbdKkSZptqlSpomLFiunRRx912vH2zjvveLzvyRmda3T3d1HcAZl5k++Or6+v/QOxf/9+tW3bVtmzZ1e5cuWUmJiYqdvu06ePLBaLEhMT0z3i8dVXX9mDgHnz5t2TQYCtJz80NFS//PKLmjRporFjx7psk7KX8rffftP48eOVL1++TA8ApNSjVraFlWxcBW6DBg3SkSNHdPHiRdWvX98+BHnr1i1NnDgx83ZaSesbHDhwQLdu3VKdOnX0yy+/6IknntC+fft08OBBTZo0yWX7FStW6MMPP7SnXuXKlUsvvPCCevfu7XYk48yZM3r22WclJfVU2X62jYqkt/a7p+rVq6ePP/5Ya9euteeDli9fXh9//PFd2zt5N0jec36ne9Fv377tMEpj62GzWCz2ANSVrCw5mRk8WcdDcn3Td+zYsYzeLQdBQUHas2ePHn74YS1ZskRPPfWUNmzYoAEDBmj69OmZuu3M4OkxN9Le6PnKyvMtGUvHyYj3uHXrVrrz+I2sC2NbYDMlq9VqT1f0FkGAnNcPTi4zK93kyZNH3377rfz8/PTdd9/Z86Rv376t+Pj4TNuuJA0ZMiRT3/9utXXrVoWEhOinn35S48aN1aNHD9WrV8+jiaZZ/SXfpUsXh4At5c/u1KpVK9VjZcuWzZB9c+XLL7/Utm3bFB8fr6eeekpff/21cubMqdu3b7udjzBv3jydPn1a69atsy+C89dff2nWrFm6cuWK27rUno6UGJHWQoJFixa1719CQoJOnTrl8YRms/r111/toyS2CbX16tW7IxVbbt++7TDp3rYfly9f9ujLNisDGCOMrOMhJR23kJAQrybfG/Xll19q69atypUrl6Kjo9WkSRNt375dJUuWzLRtZgSjx9xIe6PnKyvPt5TUsTNjxgxdvnxZmzZt0smTJ7V379501cj3JqXHxt/fX5s3b0610Nh9992XZhsjoyOBgYFpPmf0+/veuUploqyschMYGKiZM2fq4sWLGj16tL2H8JtvvsmwnLG0GAl+IiMjFRQUJKvVav+3p22z2sGDB9W9e3c1aNAg3V/UWf0ln9aoVWJiog4cOHCH98Zzvr6+8vHxsU9otk3ey5Ytm9v8+NDQUO3YscPheJcsWVLz5s1T69at3QYBzlbPTEhI0L59+xQSEuK0MpjNd999p9jYWDVr1izVPhUqVEh16tSR5HwhwUmTJqlXr16qUKGCoqOj1a1bN/n6+io6OlojR470qsyrGWRlxZY+ffropZde0uuvv26vHhYeHq45c+aoT58+bttnZQBjxMSJE9W1a1c99thj2rt3rzp06KD27dvrzTffVK5cudy2Hz9+vOHJ997KmTOnfR/9/PxUpkyZuz4AkIwfcyPtjZ6vrDzfUlKxhzFjxthHsCtWrKjhw4enKwh4+eWX1ahRIzVt2jTdHTO2NO358+fbH7NYLC7LXttKhKbF1Yi0qzl1V69edbWrbhEESA5VbrzJOTaifPnyTpeTb9CggX0p7sxiJPgZNWqU03/fC/r16yeLxaI//vjD6fOuylXeTV/yVqtV33zzjUJCQrR3715VrVpVDRs2vGPbT4/kaUxXrlxxSGFyN5JhtVqdBlxp9b6n5ebNm9q/f7+Cg4O1b98+NWrUyO18hLfeesvpnKFatWrptddec5kjfvjwYU2dOlVSUnm4cuXKadGiRbp48aL69u1LEHAX6tKlix544AG99dZb+v333yUlXaNffPFFj9akyMoAxoiEhAT7qGa5cuW0Zs0aeyqUJ44fP67PPvssUyffp8XZxNTkE7i9zbXObEaPuZH2Rs9XVp5vKWlu3iOPPGL/2WKxpLvCjjcpPTberAuUfLV5o+Li4vTFF18oODhYx44d0/79+71+L4KA/89IzrERQ4cOTVVuq0CBAqpTp45at26daduV5HGJzxkzZmj8+PFptr3TgZNRttq+zubEuytXeTd8yX/77bf2G9mqVavqyJEj2rVr1119/JOnLaVMYbLl66elWrVqWr58uV544QWHx5ctW+bRWg+2Hv+DBw+qTp06atmypQ4fPuzRIoDXrl1zWjGraNGibnPEk49wHDhwwJ72VKhQoTu6tgTSx9/f36NqW/8lRtbxkJI+67be1Fy5cumhhx66YzeECxcudPi5R48ed2S7Rhk95kbaGz1fWXm+paTr7y+//GK/jq5du9ZpdShXvEnpSe7XX3/V6dOnHco9u1pA1dmItDPdu3d32rkUHx+vsLAwBQcH6/jx4/YF8oxOwqY6kP4v53js2LGpco7Lly/vNt3ACGez7GNiYrR9+3aVKFHirkirSauaSlYFTkYdOnRIdevWzerd8ErDhg1VsmRJ9ejRQ02bNtX999+vZs2a3bEVi7NCdHS0xo4dq9OnT9tv+k+cOKHy5ctr1qxZ8vPzc9m+SpUqql27tqZNm2Yv/+rpisXPPPOMtm3bliplKT4+Xu3atdPOnTvTbNu/f38FBASoQIECev3117Vz504VKFBAN27cUMeOHRUcHOx2+7izXFWKs1gsGjRo0B3cmzunZ8+eaT7nrmNEkmrWrGm/6bRarTp9+rQqVKiQ6ZPvXQkPD1dwcLC9gMXdxugxN9Le6PnK6vN96dIlzZw5U998840sFosef/xxTZgwIV2ly1OmeEruU3ps5s2bp59//lknTpzQ008/rX379qlmzZqaN29eun4PZ5yt9j5s2DD9+OOPatiwoZ555hnVrVtXLVq0yJDvfUYCZDzn2Ii0ojh/f/+7ejEuo5M1s9KsWbPuWMnBjNa5c2ft2rVL69ev19WrV9WiRYu7OuCyMTL/xM/PT4sWLdKff/5pr5IwfPhwlSlTxqNt79q1S8HBwRoxYoR8fX0VEBDgMBHMlXbt2unVV1/V5MmTVaxYMUnShQsXNH36dLcTmmfOnKn58+crKipKc+bMsfeUHT169I5UkkL6OevNjImJ0YYNGxQbG/ufDQI8Xcfj4MGDTkvb3onJ9544efKkgoODFRoaqgIFCqSr/PCdZvSYG2lv9Hxl9fm+fPlyqrlcp06dSlcQYOQG+osvvtBnn32m9u3bKzAwUNHR0RmWFu3s+zwiIkK5cuVSkSJFVKxYMWXPnj3DvvcJApRxOccZ6W5f8TMrAyczGzZsmIYNG6YTJ04oJCRE3bt3V1RUlFavXi1/f389+OCDWb2LThmdfH/z5k399ttvOnPmjKSkC2WJEiU8+hstVaqUBg4cqIEDB+rMmTMKDg5W3rx51alTJ/n7+7u8sRs0aJBWrlypbt262at15cqVS3379nW7OmPhwoXtcwKSq1u3rh577DG3+407L3mJ3UuXLunDDz9UaGiounTp4rLn1SyCgoKcdqAYTXUw4vTp0woJCVFISIjy5cunli1bKj4+PsO3k1XSOuZG2hs9X1l5vqWkTqOUv5Ozx9xJb0qPzX333SeLxSJfX19dvHhRfn5+Onv2bLq2nR7r1q1TZGSkQkJCNH78eMXFxSk2NlYnT55UpUqVDL03QYCM5xwb4az+a0xMjD777DPVrFkzU7ftKWcZY3dj4OSp5HXjk8vKoev0qlq1qqpWrarhw4fr+PHjCgkJUa9evbR79+6s3jWnbOtfeOPvv/9Wr169VLx4cVWrVk1Wq1V79+7V7NmztXLlSnsPvSfKli2rQYMGadCgQTp9+rRHKTm9e/dW79697VUY8uTJ49G2evTooTVr1khKmjz/5ptv2p+7kwtgIX3Onz+vDz74QAcPHtTzzz+v7du3e5wn/F9nNHv4+vXrGbQn/6d169aqXbu2Fi5caB8dNFKT/W5j9JgbaW/0fGX0+T5+/LiOHTuWqrjEtWvXPB7dtUkrpceTIKBRo0b6999/1a9fP3Xq1Ek+Pj5q27Zten8dp9I6X0WLFlWfPn3Up08fXbhwQcHBwRo3bpxiYmK0a9cur7dHECBpypQp/6+9Ow+Lqmz/AP4d0txxeSspXHLDwHxdQyXNwg1ECE3MXFLErSBNX18Tl9LUFG1To1JzQU0zNQW5ZlCQwlBaVF6lUBSkBBQzFxpiEzm/P4jzm2EZBs6cOcPM93NdXtfMOR6ex3MY59znuZ/7QXBwMPbt21ch59iYmrFSlK//qlKp0KJFCzzzzDN4+eWXZW07Ly8PjRs3rnTf9evXxafKCxYsqLDfxcUF27dvx7Rp0/S2myNwksrR0dFiK0bURvfu3dG9e3eLmD9SFd2b3uXLl4vrYRjjgw8+gL+/f4WF0Pbu3Yv333+/2gm+P//8c5X7+vfvb/BY3S+ayhhanE23dFv5YJ9TsSzTwoULce7cObz66quYP3+++FCj7GbG1oMBqSkIcqQulo3WTJs2DT169ICnp6dVfb6UPOeWdr3z8/Nx9+5dFBcX6xWXaNKkSY2r70hJ6SlbY8nT0xNDhgxBYWEhmjVrVqP2demu+rtz585q//7jjz+OgIAABAQEIDMzs9btAgwCAEjPOZbC2Lw+OUycOFG8MZsyZQrCwsLEfYGBgeK+yspOlgVOX331FZ566ikIgoCUlBR07NhR9sBJqvr16xs9nGlp+vfvX+l/rJZeh1z3S/n8+fM1OvaXX36ptJb/hAkT9H5nq1LZZ0ylUuHChQvIzs7GxYsXqzy2pitpl2+jNvtIOWfOnAFQ+kVc9rtV9rtr7KRBa2aJN9dubm5wc3PDgwcPkJCQALVajfz8fLzxxhsYMmSIUU92LZmSIwGWxtXVFa6urhg7dqw4AlxUVIS7d+/WeBX22qT0xMXFGdxf27WddK9RZYUugoODqzxWpVLhvffeq1W7AIMAAKVPvYHSm0NnZ+cK2+XOs05OTsaOHTuQlpYGoLQu9dSpU9GtWzdZ29X9xcvJyalyX2X+/vtvhISE4O7du2LgtH//fri6ulp0qUqg9h9US/DDDz8o3YVakXLTW9VoVXX7ypR/QhQXF4ctW7agXbt2WL16tcFjq1qczRi6ayPovgakBRckH2uusmUKvXv3lnS8HDekH374IUaOHImnnnoKAwcOxMCBA1FcXIz4+HhERUXV+SBA6jmXcrylBiArV65ESEgIBEGAr68vHn74YXh4eOitD1Gd2qT0REVFGdxf23uL6r4fK1uA7bfffsPOnTslr0DPEqH4/5XcBEHA1atX0alTJ72nP3LmiKvVamzcuBGzZs0SA5Dk5GRs3rwZc+bMkXWtAN3Sn+XLgFZVFrTM2LFjERoaitatWyMpKQkBAQGYNWsWUlNTIQgC1q5dK1u/pYqNjUXXrl3F0YCNGzciOjoajo6OWLx4cY3rDVsK3SFFS+Pi4oLmzZuLC6zZ29sDMG4EY/DgwZg5c2al+7Zu3Wr0v1mj0WDr1q14/PHHMXPmTPTo0aPaYwyVjAQMBwlSjiVlREZGYtSoUQCAs2fP6k3g3rNnT52pQW9KUv/dt2/fFqu23Lt3r9qSvjW1detWaDQa5OXlwdPTE56enpInS5rLjz/+iJs3b6Jfv356T7IPHz5sVHXAmJgYqFQqDBkyBAkJCYiJiUHHjh0xfvz4Gt0cFhUV4fLly2jTpo3e9anuepX9/60rJycHzZs3N+r42ioro3ngwAFkZmbizTffhI+PD44ePVqrn1dUVCQ5pac6ISEhVY7if/311zh79qxRP+fSpUv4/PPPkZaWhoCAAHh7e0sKBBgElFNZjVY5eXl5YceOHXjsscf0tt+8eRPTpk2TtRSXm5sbfH19IQgCwsPDxScmgiAgIiICp06dqvJYb29v8QO3evVqNGjQAAsWLIAgCJI+jObg7e2Nr7/+Go0aNUJ0dDTWr1+PDz74ACkpKYiMjDQqJ88SDR48uNrhyrpI6s30wYMHsXPnTri4uGDmzJnVLsKjy8XFBV26dMGwYcMqLR9paE4AUFqedPv27Xqrz/r7+1t06UJbJuXBiLWS+nDBXA8nMjIyoNFoEBUVhcLCQjEgKFsbxNJ89NFHSExMhJOTE+Li4jBx4kRMnToVgHG/a2V57AUFBWjSpAkEQcCQIUMQFxeHJk2a4O23367y2NjYWKxYsQKCIOCdd97B1q1b0axZM6SmpmLJkiXVro79008/YfHixcjPz0e3bt2wbNkytG3b1ui+SzVy5Eh8/vnnWLZsGebPn48ePXro3ZMYYoqUnvT0dKxevRp37tzBN998g8uXLyMuLg4zZsyo8pjqzkl1Qd/Zs2fx+eef46+//sKMGTOMWsHcGEwHKsfcuboPHjyoEAAApTPBazrbvaZ0J8GUnxBT2WTg8sqeApw+fRpLly4FUDdyne3s7MQJftHR0Rg3bpw4uba6iaCWrC6c+9qQ+sR86dKleOSRR5CWloZFixaJ242pBhUXF4djx44hOjoa9evXh4eHB4YNGyY+6TJk165d4mJFLi4uAIBff/0VH330Ea5fv44pU6ZI+neR6ek+Eyv/fMyan5dVVocegDhyV52q1gEx9nhTaNu2LWbOnImZM2fi119/RXBwMEJDQw3O+VFSbGwswsPDYWdnhzfffBPBwcG4evUq3nnnHaN+186ePYuIiAgUFxdj4MCBiI+PR7169TBixIhqU6A2bdqEw4cPIy8vDz4+PggPD0fbtm1x8+ZNvPbaa9XeYIaEhGDLli3o2LEjjh8/junTp2PlypVwdXU1y+ckKCgIQUFB6N27N3r06IGMjAy0b9/eqGNNkdKzdOlSLFq0CMuWLQNQWgJ7/vz5BoMAQzf5ISEhBtubOHEirl+/Dn9/f7i5uQHQLzZRkwdb5TEIUFiLFi1w7ty5Cnl7Z8+elWUYTZeUxcg8PDzg7+8Pe3t72NnZiSvwZmRkWPycADs7O9y7dw+NGzfG6dOn9Socla1+bKkMDSma68vW3KSu4iplMuejjz6KSZMmYdKkSfjjjz+gVqsxcuRILFiwoNrPz969e3Ho0CG9z0O/fv3wxRdf4KWXXmIQYIF0P1vlP2fWGmQDpWtfHDhwAI888kiFfcbcFO3btw9vvfUWGjRoUGFfbUsD11Rubi5iYmIQFRWF5ORkPP/88wYnVCrt/v374npATZs2xaZNm7Bu3TrMnDnTqNKaZb+P9erVg6urq3ieH3roIaN+V1u1aoVWrVrB0dFRfIrfunVro27ii4qK0LFjRwDA8OHD8dRTTyEwMBDTpk2T/XMSExOD3bt3i3XzL1++DH9//2pHjMuYonBJYWEhunfvLr5XqVSS1nbSaDR46623qtxvZ2eHNm3aIDo6ukI5UGNWlzaEQQCAOXPmiHMCMjMzK0wukbOc5DvvvIOgoCD069dP72nhjz/+aPQvdW3Fx8fjxo0b8PPzAwDMmDFDnLD4xhtvGPzPPzAwEImJifjzzz/h5uYmfgCKi4vF6NhSBQYGYvTo0SgpKcHAgQPFkqZnzpyx+KpBhnJdy0ZjrI3UVVylXlNBEPDTTz9BrVYjKSlJrEtuzHGVBcTGrjNA5peSkoIBAwaIQXXZE3JBEPRKvlqbcePGITs7u9IgoOz7wZAePXqgc+fO6Nu3b4V927ZtM0kfqxIeHg6NRoNffvkFgwcPxqRJkzBgwADJEybl1q1bN8THx+tV31u4cCH27duHVatWVXu8k5MT/v777wrlMbOysowqmFBcXIx69erh448/FrcVFRWhuLi42mMbN26MjIwMMXho164ddu/ejTfeeEMscCKHsLAwaDQak4yu1ialp0zr1q2RnJwsBjx79+6VdS6hnFUkOScApflthri6usrafn5+PiIjI8XhnU6dOsHb21v2mtQTJkxASEiI+EH29vbG559/joKCAqxcubLO5sYbo7i4GH///bdeWkdeXl6VN25kGXRXcR0zZgwmT54sTjKuipSyqu+++y7+97//oW/fvvD09ESvXr2M7uv06dPh5+dXobJDVFQUDhw4IPvNEZG55OXloX79+oosFrlo0SJ4enri2WefNduogyUrKSlBcXExHn744Sr/zrVr1/D4449XuF7Z2dlISUmpdvTn0qVLaNy4cYUb3/v370Oj0cDHx6f2/wADPDw8KoyuAqWjQC+99BKOHTtm9M+aOHGimNJz5MgRCIIAb29vREZGVnvs7du38d577+GHH36ASqXCM888g6VLl4oT4CtT2cKwQOn3kL+/P+Lj46s8VndNJo1GA09PT3Hfhx9+iPnz51fb56rwE4PSm/zk5GRcu3YNXbp0MetEopdffhleXl4YMWKEUU9cTKmwsFAMAIDSVIWyp6Z5eXlm7Ys5lX2gmjdvrveBaty4seQPlNzKRq2qYk2LoOmSsoqrlLKqe/fuRfPmzXH9+nVERESI596YAGLFihUICgrC3r17xadWv/zyC7RareyjfEQ1YWiy5MMPP4w2bdrofVeUt2zZMnh6euK5554zePMph+nTpwMoLZlYGSn50nKSes6lHL9hw4ZKr5eDg4NRK7Bv3boVnp6ecHBw0Du+fv36sgUAgGlHV6Wk9PzrX/+qdO0aQ8ovDKurQ4cOBo89evSoGARs2bJFLwj4/vvvGQRI9cknn+Do0aPo1q0b1q9fj9mzZ5vthnzJkiXQaDSYMGECHBwc4OnpiREjRuDRRx+Vve3yawPoppPcuXNH9vaVIucHSm62WKJQrlVctVot9u/fL95EVObSpUu1+tlAaRrS4cOHcfr0afEp0MCBA+Hm5mbV+eVU9xiaLFlcXIy0tDT06dMHS5YsqfTvDBkyBBEREVi+fDnc3Nzg6emJgQMHmmVkYMWKFWI6b3lS86XlJPWcSzle6vVS6nq3bdsWx44dq3R0tU2bNjX6WbVJ6ZFSqc5QSk91qYZyFixgOhBKy3QePHgQjRo1wt27dzF9+nQcOnTI7P04f/48oqKicPz4cTzxxBMYOXIkXnnlFdnaW7x4MZ544okKv7ifffYZrl27ZvEr/9aWbhnY8iVhzV0ilqrn7u4uvtZ9El/2vrqJvzdu3MCnn36Kmzdvwt3dHT4+Pti4cSMOHz4Mb29vo+ZSJCQk6C3mV1U1FSJrZGyqRH5+Pr799ltERUUhMTERAwcOFJ84K+F///sfevbsqUjbUtUkPaW2x0u9Xua+3llZWQgKCoK9vX2lo6s1CQRqk9IjtWS0rry8PMTGxkKtVuPChQsG04FefPFF7N+/HyUlJXjllVewf/9+8Ttw/PjxCA8PN7rd8hgEoGJd2zFjxuCbb75RpC8PHjxAfHw8PvjgA2RkZCAxMVG2tnJzcxEcHIyUlBR07doVKpUKKSkp6NKlC957771qc63rKjk/UHK7dOkSQkND0axZM8yYMUPMWW/Tpg1WrVpl1AJYtmby5Mno06cP+vTpg7i4OJw+fRpdu3bFokWLql1qvuxLp1mzZnqL+dXmS4fIUu3btw+NGjWqUFryq6++gkqlwssvvwytVlujxZQuXLiApUuX4sqVK4qV6bTkBRSlnnNTXzOp18uc11t3dLVTp05mG129detWrUtGA0BBQQG+/fZbsciEVqvFpk2b9Ko7Vcbd3b3CaJfueykrnTMIAPDMM8+ItVcFQUBCQoL4HpA/z/rBgwc4ffo01Go14uPj8e9//xuenp5wd3c3apa/VL///jvS0tIgCAI6d+5sdL3duqqyD1QZY54sK8nPzw8zZsyAVqvFunXrsHLlSjz//PM4e/Ys3n//fUVGsOQmdRVXHx8fREREiO8HDRqEuLg4o/I/p0+fjrFjx8LDw0Nvu0ajwcGDBzm5l6yCt7c3Dh06VCGfv7CwEOPGjTP6wcjVq1fFBbvq1asHDw8PjBw50mBuu5wseQFFqefcFNdM6vWytOttDFOt5F5WMnrr1q1GlYyeN28ezp8/j4EDB2LEiBHo168fhg8fLukG3hQ4JwBAaGio3ntz5l0vXrwYJ0+exNNPPw0PDw8sWbLE7CUE27dvr3fj/9tvvyEsLAzvvPOOWfthLkp/6KS4f/8+hg8fDqB0PkPZ6wEDBhhV2q0u2rZtmxgErFq1Sm/U7tChQ9V+XlUqFQoKCsSgr1WrVigqKhLfG5pTkJmZWSEAAABPT0+rnYRNtqmyCb0NGjQwatHK0NBQMUfdw8MDGzdurHayozlY+twbKedcyvFSr5elXm9jfPrppwZTeqpT25LR2dnZaNiwIR577DE4ODigXr16kn8/TXGvxiAA8pcANaRv374IDg6uMGRXUlKCY8eO6U1aNbVLly5h3bp1Yq705MmTsXLlSiQmJiIgIEC2dpVWWFiInJwccaXmhIQEFBUVAQB69epl0WlQuv9plB8lkrJYiSWTOilKq9XCy8tL7xgvLy+xwo+hkR9BEJCXl1fhXOfm5lr1CrJkW+zs7HD9+nU88cQTetuzsrKM+n+lpKQEH3/8sVkr65V56aWXqiwB/Oeff5q9P8aSes6lHC/1eil5vaWSsgq8bsloX19fgxV/ytu3b5+4wNmSJUuQl5cHrVaLy5cvG1z/B5D3Xo1BAIBXX33V4H45qwsMGzYMe/fuRXZ2Np5//nkMGjQIX375JXbs2AEnJydZg4Bly5Zh3Lhx6NOnD7777jv4+vrixRdfxPr169GwYUPZ2lXa2rVr4eTkJE66Xrp0KVxdXVFQUIDvv//eohfdssXFjKSu4vr2229XOKZly5bo0qVLtZWFJkyYgGnTpmHBggV6cwI++OADWSftE5lTUFAQpk2bhtmzZ8PZ2RkqlQrJycnYvHmzUdXS7t+/L94Qnjx50qwTgXUXyqpLpJ5zKcdLvV5KXm+ppK4CX9uS0UBpRaKpU6di6tSpuHHjBtRqNRYvXoycnJwKKwHr0r1Xi4uLM+m9GucEoHRov379+hg5ciQGDRpUYYitS5cusrX92muvoVmzZujduzdOnz6Nu3fv4sGDB1i8eDGefvpp2doFSifI6uYNDhkyxKLz4U3F19cXhw8fFj/AuhWBXnnlFezbt0/B3lF5Li4uaN68uRj4lI3UlAU+v/zyi8Hjg4ODK2y7d+8erly5gpUrV1Zb6ef48ePYsWOHXnWgqVOnVihTR1SXJScni7/nZfPD/P39xSoshugW1yhfaEMJRUVFOHnyJDQaTY3ruZuTlHMu5Xip18vSrndNlU/p6du3LyZOnKjYfMjMzEyDRSbkvFfjSABKJ/ldvnwZGo0Gy5cvR4cOHcxW9zYjI0Ms4eXn54dnn30WcXFxaNCggaztAqX/UZb95wGU5hLqvrfURVakKi4u1nuCrPslodVqlegSGZCcnCzp+KpK3WZnZyMoKAgHDx40ePzw4cPFuRdE1srFxQXr1683+HdWr15dZd16pd2/fx/x8fFQq9U4efIkBg0ahGHDhindLYOknvO6fs2UICWlR4rKHkbpMlSSXc57NQYB/3BycoKTkxPmzp2L8PBwLFq0CDNmzDC4kJAp6AYZDz30EB5//HGzBAAA8Mgjj2D58uXi+3/961/ie0teZEWq+vXrIyMjQ6xgUDasmZGRwWXnbYiDg0O1k6kNVZJQqVQIDAw0dbeILNaZM2cq3X7z5k2sW7cOgiCIr3UtXLhQtj6VPfFPSEhA37594eHhgTNnzuD999+XrU1zquqcSzle6vVS8npLJTWlp7aio6Ph6OgIT09PODs712hOmZz3arzj+UdqaqpYorN9+/ZYvXq1WfLcynK8Aejlecv9CwlIW8GuLgsMDMT06dPx2muvVcil/M9//qN098hMEhMTq63EVVn1iJycHHz99dfQarUMAogA/Pe//630tTnMnDkTvXv3xrZt28QHOta60KWpSL1eSl5vqaSsAi9FQkIC4uPjodFoEBMTg0GDBsHDwwNdu3at9lhD92pScU4AgFGjRsHOzk5c6a78k3hrTYspryYr2NV1ycnJ2L59O65evQpBENCpUydMmzbN6FxMqjsqqx6Sk5MDe3t7hISEGP35vn37NrZv346oqCiMGTMGkydPtuhKUkSmJjX/W47UlGvXrkGj0UCj0eDhhx+Gp6cnwsLCLHaRsJqSes6lHC/1ejEVqXJFRUWIjIxESEgIAgMDqy1OAwB37txBZGQk0tPTAQAdO3bEqFGjalXmVBdHAvD/T/tOnz4tPnkvi43kTov56aefxBKluikqQOmERLlzkQ2tYGfNXFxcrGa4mAwrXz1EpVKhRYsWRi/El5WVha1btyIhIQETJkxAZGRktVWFiKyR1GeGUlNbKtOuXTvMmjULs2bNQnp6OtRqNZo1a4YxY8ZgyJAhdX60Tuo5l3K8HKlItkyr1eL48eM4duwY8vPz8frrr4tr4BiSkpICf39/DB48WEwlKste2LFjh6TiNQwCULrwhVJP9NasWSNG6XPmzNGL2D/77DNZgwDdFezGjx+Pjz76CMOHD9dbLdkazZkzx2BpSS4CZV0cHR1rfezChQtx7tw5vPrqq5g/f744hyc/Px+A4YXGiKzNggULlO5CBVlZWbC3t0ezZs3QoUMH9OzZE3fu3EHLli1RUFCgdPckk3rOLfGa2aLZs2fj1q1bGDp0KIKDg+Hg4CDuy8/PN/hdsmHDBrz77rsYOnSo3vaYmBh89NFH+PTTT2vdLwYBKK3KM336dPj5+Zm9bakLIUkhxwp2dYE5V4Smuq3sSdbOnTsRFham95msbqExorpi8uTJVf7fr1KpEBYWBgAYOHCgObtllLlz5yI0NBTNmjVDUlIS5s2bh1mzZiE1NdWiF/STes7r8jWzRZcvXwYAHDhwoNKKdIa+S9LS0ioEAAAwdOhQyRkNDAJQupLbxx9/jIMHD2LZsmWy1+fXJXUhJCmkrGBXl+mmOt25cwcA0KpVK6W6QxYsNjZW6S4Qya78gnpA6UTG7du3SxpJK0+Om/LCwkK0bt0aABAREYFx48YhICAAgiDAx8fH5O2ZitRzbo5rpmQqkrXZtWsX7O3txayTU6dOITY2Fo6Ojpg4caLBYw2lrkodjebEYB3nz5/H9OnT0bZtW9jZ2YkVeqqrIy5Fz5490blzZwiCgLS0NHGSoiAIuHr1KhITE2Vru7wbN25Ao9FArVZXu4JdXSYIAj7++GPs27cPKpUKJSUlsLOzw6RJkxAUFGQToyFkvMLCQkRERODq1asASidk+fj4mK2UL5E5xcTEYMuWLWjevDlmzZqFvn37muxnx8fHm/zJtLe3t1jq0cvLC0uXLhUr7nl7e+Po0aMmbU8OUs+5XNdM6vWS43rXVWPHjkVoaChat26NpKQkBAQEYPbs2bhy5QoAwxWt3Nzc4OvrW2G7IAiIiIjAqVOnat0vBgH/+P7777Fu3To899xzGD9+POzs7MR9pnwSUl5WVpbB/XK2bci2bdsQEBCgSNty27JlC3788UesWLFCXKUvMzMTK1asQP/+/a323001d/HiRQQFBcHV1RXOzs7ith9//BGhoaHiNqK6rKSkBJGRkdi2bRs6dOiAWbNm1eh329jUFDmEhobi559/hr29PdLT0xEeHg47OztkZGTgv//9L7766ivZ2pZC6jmXcrzU66Xk9a6rdAPS1atXo0GDBliwYIE4YmUoWK2qutPdu3fRpEkTvPzyy7XuF4MAAK+99hoKCgqwdOlSsc5wmZCQELz11lsK9Uw5zz//vNWUWCvPx8cHu3fvRvPmzfW237t3D6+++ioiIiIU6hlZmldeeQX/+c9/KjxZK1uMyFJvMIhqYsiQISgpKcGUKVPQoUOHCvsHDx5s8Piyp5m6dFNTvvzyS5P1tTKJiYn4888/4ebmhiZNmgAA0tPTkZeXh27dusnadm1JPedSjpd6vZS+3nWRqUascnJycPz4cURFRSE9PR0vvPACli1bVut+cU4ASi/AyJEjK92n0WhkDQLc3d31IuqyFCSgNKKOiYmRrW1DrDk2FAShQgAAAC1atLDqfzfVXE5OTqVD63379kVOTo4CPSIyvWeeeQYqlQopKSlISUmpsL+6G1LdEoW6qSnvv/++SdOJqtKrV68K2yq7MbYkUs+5lOOlXi+lr3dd5OHhAX9/f9jb28POzg79+vUDUFoavixwrUpubi6io6OhVquRnp4Od3d3XL58Gd9//73kfjEIAKoMAMwhMjJS7/39+/cRHh6OsLAw9OzZU5lOQf5JyUqys7NDQUFBpdWYdNPAiFQqFf7880888sgjetv/+OMPq/6MkG1Zu3atpOPLp6asWLGCqXLVkHrOpRwv9XrxetdcYGCg3ohV2b1GcXFxtU/yBwwYgO7du2PBggXo3bs3AJjsATGDAACpqamVbhcEAcXFxbK2XTbru6CgAPv378fevXsxYMAA7Ny5U2/hMDn079+/0hsZQRCg1WplbVtJWq0WXl5elT71540d6Xr99dcxefJkzJo1S1xN+tdff8XmzZsRFBSkcO+ITKO69I3qqpcMGzZMLzXljz/+wB9//CHur+6pti2Ses6lHC/1evF6105tR6zefvttREVFITg4GMOHD4eHh4fJ7lUYBABYsWJFlfvkHlLUarXYs2cPDh06hBEjRuDLL7+s8NRRLj/88INZ2rE0LPtIxvLy8kK7du0QFhYmTnbr1KkT1q9fj+7duyvcOyLTuHv3rqTjpaa22CKp51zK8UqmIlHN+fn5wc/PD3fv3sXx48exbt063Lp1C2vXrsXQoUMlpWBxYnANJCQkiBM5TKVPnz6wt7eHn59fpXnq1T0NoNph2Ucyxtq1a7Fo0SKlu0Ekq5s3b4q19ss7efIknnvuOTP3yPpJPee8Zrbt9u3biIqKQlRUFHbv3l3rn8MgoAZGjx5dZamm2tq0aZPBYR2mHJgeyz6SseT4zBNZGk9PT2zZsqVCCurBgwexefPmateMkZraYouknnMpxyuZikSWhelANSBHvPTGG28Y9fe2bt2KGTNmmLx9W/Tuu+8iJCSk0rKPK1asYNlHEhUUFCAtLa3Kz37Z4n5EddmyZcswffp0hIaGir/Tn3zyCU6cOGFUuUepqS22SOo5l3K8kqlIZFk4ElADSj4V5BNJ0xk5ciTUanWl+zw9PaHRaMzcI7JUvXr1Qvfu3aucRL5r1y4FekVkeufOncOiRYuwbt06HDhwADdu3MDGjRvRtGnTao9lakrtSDnnUo5nKhKVYT3EGlAyXmKsZjplZR/LY9lHKq99+/bYtWsXdu/eXeEPAwCyFvn5+XB2dsaaNWswa9Ys5ObmYsOGDXjooYeQn59f7fFTp05FRkZGhe0HDx7EypUr5ehynSf1nEs5Xur14vW2HkwHqoGy+qxK4M2p6bDsIxHR//Py8hK/Y5o0aYKkpCT4+vqK+0+cOGHweKmpLbZI6jmXcrySqUhkWZgO9I/U1FQcOHAA6enpAEqrxfj5+aFTp04K96yUr68vjhw5onQ3rEZSUhLCwsKQlpYGoLTs45QpU1j2kfRcuHAB//73v5XuBpGsMjMzYW9vD3t7ewDAqVOnEBsbC0dHR0ycONGoqmlSU1tsjdRzLvV4pVKRyLIwCADw888/480338Qrr7wCZ2dnCIKAS5cuYf/+/diwYYNiIwAhISF46623AADffPMNxowZo0g/bImhXEeyPeUX1FOpVGjZsiX69OmDefPmoWXLlgr2jsg0xo4di9DQULRu3RpJSUkICAjA7NmzceXKFQDAmjVrDB5fln6SnJyM119/Hf3798eqVatQr15pskGjRo3k/QfUQVLPuZTjpV4vXm/rwSAAgL+/PwIDAytUizl79ixCQ0Oxfft2Rfr1/PPP47vvvlOkbWuXmJiI7Oxs9O3bF48++iguXbqEL774AmfOnOE5J4NycnIQERGBn376CZs2bVK6O0SSeXt74+jRowCA1atXo0GDBliwYAEEQYCPj4+4ryru7u5isFx2S6EbPFeX2mKLpJ5zKcdLvV683taDcwIAXL9+vdIV1/r06YOsrCwFekRyCgkJQWxsLLp164YtW7bgueeew9dff42ZM2di1apVSnePLFzz5s0xefJkfPPNN0p3hchkBEGASqXC6dOnsXTpUgDGz0XbtWuXwdQUqpyUcy7leKnXi9fberA6EEon1dRmnymkpqZW+ufKlSsoLi6WtW1bFRcXh/DwcHz44YfYsWMHwsLCcODAAfj7+6Nhw4ZKd4/qgIKCApSUlCjdDSKT8PDwgL+/P+bMmQM7Ozv069cPAJCRkWHUd+Cbb74ppogkJSVh3rx5cHR0xJUrV7B8+XI5u15nST3nUo6Xer14va0HRwJQ+qGZO3duhe2CICAzM1PWtlesWFHlvg4dOsjatq1q0KCBeLPfokULPPnkk2jTpo3CvSJLVFmli5ycHJw4cQIvv/yyAj0iMr3AwEAkJibizz//hJubG+zsSp8PFhcXY9myZdUeX1hYKM6lioiIwLhx4zBt2jQxNYUqknrOpRwv9XrxelsPBgEAQkNDq9w3adIkWdvevXt3lftyc3NlbdtWZWZmikGfIAjIysrSCwI3bNigVNfIwlS2MmbLli2xaNEiXL16VYEeEcmjV69eFbbV5EGU1NQWWyT1nEs5XqlUJLIsDAIAuLq6Kt0FUV5eHmJjY6FWq3HhwgXEx8cr3SWrUz7okzvQo7pLd92InJwcHD9+HFFRUdi2bRteeOEFBXtGZDnKUlPs7e1rldpC5iX1evF6Ww9WBwIwefLkKiNYlUqFsLAwWdsvKCjAt99+C7VajaSkJGi1WmzatAmurq5iyS0ynby8PDRu3LjSfdevX8cTTzxh5h6RpcrNzUV0dDTUajXS09Ph7u4OjUaD77//XumuEVkU3dSUshvB9PR05OXloVu3bgr3jsqTer14va0DgwBArKurKyEhAdu3b4ejo6OsK+DNmzcP58+fx8CBAzFixAj069cPw4cPR2xsrGxt2rrRo0fj8OHDAIApU6boBXm6+4i6d++O7t27Y8GCBeJ6Ie7u7vx8EhFRncfHzAC6dOkivo6JicGWLVvQvHlzvP/++5WWDjWl7OxsNGzYEI899hgcHBxQr1495tXJTDfuzcnJqXIf0dtvv42oqCgEBwdj+PDh8PDw4OeTiIisAoMAACUlJYiMjMS2bdvQoUMHrFixAs7OzmZpe9++fbh58yY0Gg2WLFmCvLw8aLVaXL58GU5OTmbpg60pvwJsVfuI/Pz84Ofnh7t37+L48eNYt24dbt26hbVr12Lo0KGyPyQgIiKSC9OBAAwZMgQlJSWYMmVKpTPrBw8ebLa+3LhxA2q1GhqNBjk5OYiOjjZb27bCzc0Nvr6+EAQB4eHh8PX1BVA6ChAREYFTp04p20GyaLdv30ZUVBSioqIMVvciIiKyZAwCACxatMjgE+A1a9aYsTel/vrrL+zfvx8zZswwe9vWrrqc/9GjR5upJ0RERETKYDoQgLVr11a5Lz09Xda2b9y4gc8++wzZ2dlwd3eHj48PNm7ciCNHjmDUqFGytm2rqrrJL0v5ICIiIrJ2DAIqce3aNWg0GqjVapSUlODo0aOytbVw4UL06dMHw4YNQ1xcHMaOHYuuXbsiPDxcXJGP5FOWcqXRaJCens7a70RERGQTmA70j6ysLDEXv6SkBDdu3MD+/fvx5JNPytquj48PIiIixPeDBg1CXFycuAQ4mR5rvxMREZGt40gASiuAFBQUYNSoUfjwww/x5JNPwt3dXfYAACitRlNQUCCWpmzVqhWKiorE940aNZK9D7ZmwIABFWq/x8TEKNwrIiIiIvNhEACgffv2OHv2LH777TdkZGSgbdu2ZisVqdVq4eXlpVeffuTIkQBKA4QTJ06YpR+2hLXfiYiIyNYxHegfRUVFOHnyJDQaDc6dO4ecnBx88MEHePbZZ/Hwww/L1m56enqlZUlJfmUTgdVqNRITEzFhwgTWficiIiKbwCCgEoWFhfjuu++gVqvx888/4/Tp07K1NXr06GpLVpL8Kqv9npubi6ZNmyrcMyIiIiLTYxBQjfz8fDEvf+7cudiwYYNJf76vry+OHDli0p9JpsEAjYiIiKwV5wRUQ3di7u+//27yn5+VlYW5c+dWud/UQQcZj/ExERERWSsGATUgx+TRli1bYuLEiSb/uSQdJwsTERGRtWIQoLDGjRvD1dVV6W4QERERkQ3hilQ1IEd6iLOzs8l/JplG/fr1le4CERERkSw4MRjAjRs3cOfOHXTr1k1ve1JSEh599FE4ODgAAC5fvgwnJyeTtv3TTz8ZTDt55plnTNoeVe23335DWFgY3nnnHaW7QkRERCQrpgMBePfddxEUFFRh+4MHD7By5UqEhoYCgMkDAADYs2dPhW0qlQrnz5/HzZs3cfHiRZO3aesuXbqEdevW4ebNm3B3d8fkyZOxcuVKJCYmIiAgQOnuEREREcmOQQCAzMzMCqMAANCzZ09cu3ZN1rY3btyo9z4uLg5btmxB+/bt8d5778natq1atmwZxo0bhz59+iAuLg6+vr548cUXsX79ejRs2FDp7hERERHJjkEAStcCqM0+U9JoNNi6dSsef/xxLFy4ED169DBLu7aoqKgIfn5+AICOHTtiz549eOuttxTuFREREZH5MAgA0LdvX3z66ad4/fXX9bZv3rwZvXv3lrXtgwcPYufOnXBxccG6devQuXNnWduj0iAgLS1NnOjdoEEDvfe8BkRERGTtODEYgFarRXBwMC5fvoyuXbtCpVIhJSUFXbp0wZo1a9CsWTPZ2n7qqafwyCOPoHXr1noThAVBgEqlwsGDB2Vr21ZNnjy5yn0qlQq7du0yY2+IiIiIzI9BgI7ff/9dfCLcuXNntG/fXvY2s7KyDO53dHSUvQ9EREREZFu4TgCA1NRUpKam4v79+2jXrh3at2+P+/fvi9vldP/+fTg6OsLR0RGPPvqo+NrR0RG3bt2StW1btX37dvG1RqPR2/fhhx+auztEREREZseRACibHjJ69GgcPny4wuvK3pNp8JwTERGRrePEYABBQUHo16+fIm3rxmDl4zHGZ/LgOSciIiJbx3QgAGvXrlWsbd3JwOVXDja0kjDVniAIKCgoQF5envg6Pz8f+fn5DAKIiIjIJnAkQGGZmZmYO3cuBEEQXwOlN6rVTRqm2tFqtfDy8hJv+EeOHAmVSiVWZCIiIiKydpwTgNKVgSurDW+OMp0xMTHIyclB27Zt9bZnZGSgRYsWGDJkiGxtExEREZFt4kgASstwbtiwQZG2jx07htGjR8PV1VVv+99//42oqCgGATK4ffs2Pv/8c1y7dg1du3bFzJkz0bRpU6W7RURERGQ2nBMAoH79+nqlOcv/kdPFixfh5uZWYfsLL7yA5ORkWdu2VQsXLkTjxo0xadIk5ObmYtWqVUp3iYiIiMisOBIAYPDgwYq1XVhYWKt9VHu3bt3CvHnzAACDBg3C6NGjFe4RERERkXlxJAD6N9thYWF6+xYtWiRr205OToiIiKiw/ejRo+jUqZOsbdsqlUqlVxGopKRE7z0RERGRtePEYCi7eFR2djYCAwPRtGlTODs7Q6VS4ddff0Vubi4+/fRTODg4yNa2rXJ3dxerAZXRrQ504sQJBXtHREREJD+mA0HZBaIcHBxw6NAhJCQkIDU1FYIgYNCgQZXOEyDTiI2NVboLRERERIpiEIDSdKC0tDSUlJSIrwVBgCAIZsvLHzBgAAYMGGCWtmwdqwMRERGRrWM6EIDJkycb3L97924z9YTMISAgAE8//TT69u2Lb7/9Fnl5eYquGk1ERERkbgwCyOb4+PjoTcaWe94HERERkaVhOhCAuLg4g/uVLCFKpldWHags/i2rDlT2vlGjRkp2j4iIiEh2DAIAREVFGdzPIMC6aLVaeHl5ie8FQYCXlxerAxEREZHNYDoQ2ZzvvvtO771KpULLli3RpUsXjgIQERGRTeBIwD+Sk5OxY8cOpKWlAQA6deqEqVOnolu3bgr3jEzt2LFjFbbdu3cPV65cwcqVK1mliYiIiKweRwIAqNVqbNy4EbNmzYKzszOA0qBg8+bNmDNnjl7qCFmv7OxsBAUF4eDBg0p3hYiIiEhWHAkAEBoail27duGxxx4Ttz311FN49tlnMW3aNAYBNsLBwQHFxcVKd4OIiIhIdnZKd8ASPHjwQC8AKNO6dWs8ePBAgR6REhITE7loGBEREdkEjgQAaNGiBc6dO4fevXvrbT979ixatGihTKdINi+99BJUKpXetpycHNjb2yMkJEShXhERERGZD+cEALh48SKCgoLQr18/uLi4AAB+/fVX/Pjjj/jkk0/EbWQdsrKy9N6rVCq0aNECjRs3VqhHRERERObFIOAf+fn5iIyMRGpqKoDS6kDe3t4sGUlEREREVofpQP84deoU/vrrLwwcOBCDBg1SujtERERERLLhSACA5cuXIzU1Fb169UJCQgLc3d3x+uuvK90tIiIiIiJZcCQAwJkzZxAeHo6HHnoI+fn5mDhxIoMAIiIiIrJaLBEKoH79+njooYcAAI0aNQIHR4iIiIjImjEdCEDPnj3RuXNnAIAgCEhLS0Pnzp0hCAJUKhVXkCUiIiIiq8IgABVLRpbn6Ohopp4QEREREcmPQYCOa9euIS0tDUBpidB27dop3CMiIiIiItPjxGAA9+7dQ3BwMNLS0uDk5AQAuHTpErp06YI1a9Zw1WAiIiIisiocCQAwb948PP3005g2bRpUKhWA0rkB27ZtQ1JSEjZs2KBwD4mIiIiITIfVgQAkJycjICBADAAAQKVSYfr06bh06ZKCPSMiIiIiMj0GASh96v/gwYMK2+/fv4+SkhIFekREREREJB8GAQA8PT3x5ptvIjs7W9x2/fp1zJ8/Hx4eHgr2jIiIiIjI9DgnAKUjATt37sSOHTtQWFgIlUqFBg0aYOrUqZgyZQrs7BgrEREREZH1YBAAIDIyEqNGjQIA5ObmAgCaNm2qZJeIiIiIiGTDR9wAtm3bJr5u2rQpAwAiIiIismoMAoiIiIiIbAzTgQB069YN9vb2FbYLggCVSoWEhAQFekVEREREJA+uGAygS5cuOHLkiNLdICIiIiIyC6YDVaNsojARERERkbXgSAAAPz8/vfd5eXmIjY2FWq3GhQsXEB8fr1DPiIiIiIhMj3MC/lFQUIBvv/0WarUaSUlJ0Gq12LRpE1xdXVGvHmMlIiIiIrIeTAcCMG/ePIwcORIJCQkYP348YmJi0Lx5c7i5uTEAICIiIiKrwyAAQHZ2Nho2bIjHHnsMDg4OqFevHlQqldLdIiIiIiKSBdOB/nHz5k1oNBpERUUhLy8P2dnZ2LNnD5ycnJTuGhERERGRSTEIqMSNGzegVquh0WiQk5OD6OhopbtERERERGQyDAKqkZmZiTZt2ijdDSIiIiIik+GsVwDBwcEG969Zs8ZMPSEiIiIikh+DAADR0dFwdHSEp6cnnJ2dwcERIiIiIrJmTAcCcP/+fcTHx0Oj0eDq1asYNGgQPDw80LVrV6W7RkRERERkcgwCyikqKkJkZCRCQkIQGBiIV199VekuERERERGZFIOAf2i1Whw/fhzHjh1Dfn4+hg4dCm9vb7Rq1UrprhERERERmRSDAACzZ8/GrVu3MHToUHh4eMDBwUFvf6NGjRTqGRERERGR6TEIAODu7i6+1l0pWBAEqFQqnDhxQoluERERERHJgkEAEREREZGNsVO6A5YgMjJSfH327Fm9fXv27DF3d4iIiIiIZMUgAMC2bdvE16tWrdLbd+jQIXN3h4iIiIhIVgwCAL3FwcpnRzFbioiIiIisDYMA6E8G1n1d2XsiIiIiorqOE4MBuLi4oHnz5hAEAVqtFvb29gBKRwFyc3Pxyy+/KNxDIiIiIiLTYRBARERERGRjmA5UhZs3byIsLAzjx49XuitERERERCbFIEDHrVu3sGfPHkyYMAHDhg3DnTt3sGTJEqW7RURERERkUkwHArBv3z6o1Wrcvn0bw4YNg4eHBwIDAxEbG6t014iIiIiITK6e0h2wBCEhIXBxccHy5cvh6uoKgFWBiIiIiMh6cSQAQF5eHmJjY6FWq5GSkoIXXngBUVFRiI+PV7prREREREQmxyCgnNzcXMTExCAqKgoXL17Es88+i/fee0/pbhERERERmQyDAAO0Wi2io6MxZswYpbtCRERERGQynBMA4MiRI1Xus7NjASUiIiIisi4MAgCkpKSIryMiIuDj4yO+5wRhIiIiIrI2TAcqx9fX1+DIABERERFRXcdcl3L45J+IiIiIrB2DACIiIiIiG8N0IAD9+/eHSqWCIAjQarWwt7cHAAiCAJVKhYSEBIV7SERERERkOgwCiIiIiIhsDNOBiIiIiIhsDIMAIiIiIiIbwyCAiIiIiMjGMAggIiIiIrIxDAKIiIiIiGwMgwAiIiIiIhvDIICIiIiIyMb8H/GMh7cPjt0hAAAAAElFTkSuQmCC", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.figure(figsize=(9, 7), dpi=100)\n", - "ax = sns.countplot(x=ccle_lineages, color=\"gray\", order=lineage_sorted_by_count)\n", - "ax.set_xticklabels(ax.get_xticklabels(), rotation=90)\n", - "ax.set_title(\"CCLE Lineage Distribution\")\n", - "ax.tick_params(labelsize=7)\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "f4bf4530", - "metadata": {}, - "source": [ - "### PCA\n", - "#### We specfically focus on one cell lineage, HAEMATOPOETIC_AND_LYMPHOID_TISSUE. Below is the scatter plot of the data projected onto the first two principal components of the dataset.\n", - "\n", - "#### We can see from the PCA projection that the Haematopoetic and lymphoid samples are separate from the rest of the samples in terms of their gene expression profiles.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "0c21d9ba", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "PCA_COMPONENTS = 10\n", - "RANDOM_SEED = 2\n", - "\n", - "ccle_pca = PCA(n_components=PCA_COMPONENTS, svd_solver=\"full\").fit_transform(\n", - " ccle_data_log2.transpose().dropna()\n", - ")\n", - "ccle_pca_df = pd.DataFrame(data=ccle_pca)\n", - "ccle_pca_df[\"Lineage\"] = ccle_lineages\n", - "ccle_pca_df[\"isHaem\"] = ccle_pca_df[\"Lineage\"] == \"HAEMATOPOIETIC_AND_LYMPHOID_TISSUE\"\n", - "\n", - "\n", - "with sns.plotting_context(rc={\"legend.fontsize\": 15}):\n", - " ax = sns.relplot(x=0, y=1, data=ccle_pca_df, hue=\"isHaem\")\n", - " ax.set(xlabel=\"PCA1\", ylabel=\"PCA2\", xticks=[], yticks=[])\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "d0cc6362", - "metadata": {}, - "source": [ - "### tSNE\n", - "\n", - "#### Then we run tSNE with default parameters and 4 different values of perplexity.\n", - "\n", - "As perplexity decreases from 50 to 5, there are two major differences we observe in the tSNE projections:\n", - "\n", - "- At a perplexity of 50 the points appear to be in two major groups whereas at a perplexity of 5 there are many more groups.1\n", - "- At a perplexity of 50 the Haem points are all in one group in one part of the plot, whereas at a perplexity of 5 they are in multiple groups spread throughout the plot." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "5637c2fc", - "metadata": { - "scrolled": true, - "tags": [] - }, - "outputs": [], - "source": [ - "#CCLE TSNE\n", - "ccle_tsne_list = []\n", - "for PERPLEXITY in [50, 30, 10, 5]:\n", - " this_ccle_tsne = TSNE(\n", - " n_components=2, perplexity=PERPLEXITY, random_state=RANDOM_SEED\n", - " ).fit_transform(ccle_pca)\n", - " this_ccle_tsne_df = pd.DataFrame(data=this_ccle_tsne, columns=[\"tsne1\", \"tsne2\"])\n", - " this_ccle_tsne_df[\"Lineage\"] = ccle_lineages\n", - " this_ccle_tsne_df[\"isHaem\"] = (\n", - " this_ccle_tsne_df[\"Lineage\"] == \"HAEMATOPOIETIC_AND_LYMPHOID_TISSUE\"\n", - " )\n", - " this_ccle_tsne_df[\"PERPLEXITY\"] = PERPLEXITY\n", - " ccle_tsne_list.append(this_ccle_tsne_df)\n", - "\n", - "ccle_tsne_list_all = pd.concat(ccle_tsne_list, axis=0, ignore_index=True)\n", - "\n", - "\n", - "with sns.plotting_context(rc={\"legend.fontsize\": 15}):\n", - " ax = sns.relplot(\n", - " x=\"tsne1\",\n", - " y=\"tsne2\",\n", - " data=ccle_tsne_list_all,\n", - " hue=\"isHaem\",\n", - " col=\"PERPLEXITY\",\n", - " col_wrap=2,\n", - " col_order=[50, 30, 10, 5],\n", - " )\n", - " ax.set(xlabel=\"tSNE1\", ylabel=\"tSNE2\", xticks=[], yticks=[])\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "cb837a00", - "metadata": {}, - "source": [ - "### Understanding tSNE behavior on CCLE\n", - "\n", - "From the PCA projection we know that Haem samples are more similar to each other than to non-Haem samples. Given that there are only around 200 Haem samples, at a perplexity of 50 (which roughly means that each sample is similar to 50 other samples), tSNE basically thinks that all the Haem samples are just one big group. This is why they all appear together in the tSNE projection. But, at a perplexity of 5, tSNE realizes there are subsets of the Haem samples which are more similar to each other, which is why the Haem group is broken up into subgroups.\n", - "\n", - "Now let us dive deeper to the subgroups of the Haem samples." - ] - }, - { - "cell_type": "markdown", - "id": "6ba480bb", - "metadata": {}, - "source": [ - "We see that there is structure within all the samples and substructure within the Haem samples. This makes sense with what we know about these cell lines, because the haem lineage is made of several different sublineages of the Haematopoetic lineage (eg., lymphoma, leukemia, myeloma etc)." - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.6" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} From 48a3c0fc485db9b680a77b9da45a375a297a85fb Mon Sep 17 00:00:00 2001 From: J Maxwell Date: Tue, 19 Aug 2025 15:47:30 -0500 Subject: [PATCH 034/108] trigger build --- BRH-notebooks/combined_demos/requirements.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/BRH-notebooks/combined_demos/requirements.txt b/BRH-notebooks/combined_demos/requirements.txt index dda33a67..e4b90882 100644 --- a/BRH-notebooks/combined_demos/requirements.txt +++ b/BRH-notebooks/combined_demos/requirements.txt @@ -18,3 +18,4 @@ r-dplyr r-tidyr r-haven r-reshape +# trigger build From 4c1875d3ed5cfe03d8206bf78cf9c4ba7f2c1d12 Mon Sep 17 00:00:00 2001 From: J Maxwell Date: Tue, 19 Aug 2025 16:11:39 -0500 Subject: [PATCH 035/108] rename BDCat to BDC --- ...on.ipynb => BDC_Biolincc_Framingham_study_exploration.ipynb} | 0 ...study_exploration.ipynb => BDC_CAMP_study_exploration.ipynb} | 0 ..._insights.ipynb => BDC_Framingham_predictive_insights.ipynb} | 0 ...oration_R.ipynb => BDC_Framingham_study_exploration_R.ipynb} | 2 +- 4 files changed, 1 insertion(+), 1 deletion(-) rename BRH-notebooks/combined_demos/{BDCat_Biolincc_Framingham_study_exploration.ipynb => BDC_Biolincc_Framingham_study_exploration.ipynb} (100%) rename BRH-notebooks/combined_demos/{BDCat_CAMP_study_exploration.ipynb => BDC_CAMP_study_exploration.ipynb} (100%) rename BRH-notebooks/combined_demos/{BDCAT_Framingham_predictive_insights.ipynb => BDC_Framingham_predictive_insights.ipynb} (100%) rename BRH-notebooks/combined_demos/{BDCat_Framingham_study_exploration_R.ipynb => BDC_Framingham_study_exploration_R.ipynb} (99%) diff --git a/BRH-notebooks/combined_demos/BDCat_Biolincc_Framingham_study_exploration.ipynb b/BRH-notebooks/combined_demos/BDC_Biolincc_Framingham_study_exploration.ipynb similarity index 100% rename from BRH-notebooks/combined_demos/BDCat_Biolincc_Framingham_study_exploration.ipynb rename to BRH-notebooks/combined_demos/BDC_Biolincc_Framingham_study_exploration.ipynb diff --git a/BRH-notebooks/combined_demos/BDCat_CAMP_study_exploration.ipynb b/BRH-notebooks/combined_demos/BDC_CAMP_study_exploration.ipynb similarity index 100% rename from BRH-notebooks/combined_demos/BDCat_CAMP_study_exploration.ipynb rename to BRH-notebooks/combined_demos/BDC_CAMP_study_exploration.ipynb diff --git a/BRH-notebooks/combined_demos/BDCAT_Framingham_predictive_insights.ipynb b/BRH-notebooks/combined_demos/BDC_Framingham_predictive_insights.ipynb similarity index 100% rename from BRH-notebooks/combined_demos/BDCAT_Framingham_predictive_insights.ipynb rename to BRH-notebooks/combined_demos/BDC_Framingham_predictive_insights.ipynb diff --git a/BRH-notebooks/combined_demos/BDCat_Framingham_study_exploration_R.ipynb b/BRH-notebooks/combined_demos/BDC_Framingham_study_exploration_R.ipynb similarity index 99% rename from BRH-notebooks/combined_demos/BDCat_Framingham_study_exploration_R.ipynb rename to BRH-notebooks/combined_demos/BDC_Framingham_study_exploration_R.ipynb index 192e23c7..57a3c18d 100644 --- a/BRH-notebooks/combined_demos/BDCat_Framingham_study_exploration_R.ipynb +++ b/BRH-notebooks/combined_demos/BDC_Framingham_study_exploration_R.ipynb @@ -10,7 +10,7 @@ "*Please note: BioDataCatalyst RAS Login in the BRH Profile Page needs to be authorized*\n", "\n", "\n", - "The following notebook was created by converting the python code in [Data Exploration of Framingham Heart Study Teaching Dataset](https://brh.data-commons.org/dashboard/Public/notebooks/BDCat_Biolincc_Framingham_study_exploration.html) into R. If you wish to perform any of the data visualization or manipulation done in this notebook in python code please cite the original notebook. \n", + "The following notebook was created by converting the python code in [Data Exploration of Framingham Heart Study Teaching Dataset](https://brh.data-commons.org/dashboard/Public/notebooks/BDC_Biolincc_Framingham_study_exploration.html) into R. If you wish to perform any of the data visualization or manipulation done in this notebook in python code please cite the original notebook. \n", "\n", "**Original Author:** *Qiong Liu*\n", "\n", From b0a59aa051cbd993bbda25a7bb42f99bd4d91322 Mon Sep 17 00:00:00 2001 From: J Maxwell Date: Tue, 19 Aug 2025 16:12:22 -0500 Subject: [PATCH 036/108] trigger build --- BRH-notebooks/combined_demos/requirements.txt | 1 - 1 file changed, 1 deletion(-) diff --git a/BRH-notebooks/combined_demos/requirements.txt b/BRH-notebooks/combined_demos/requirements.txt index e4b90882..dda33a67 100644 --- a/BRH-notebooks/combined_demos/requirements.txt +++ b/BRH-notebooks/combined_demos/requirements.txt @@ -18,4 +18,3 @@ r-dplyr r-tidyr r-haven r-reshape -# trigger build From 1ea977d1b2251df1483f9ab136ce6b5552857823 Mon Sep 17 00:00:00 2001 From: "J. Q." <55899496+jawadqur@users.noreply.github.com> Date: Thu, 21 Aug 2025 10:37:20 -0500 Subject: [PATCH 037/108] Bump base image --- jupyter-prometheus/Dockerfile | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/jupyter-prometheus/Dockerfile b/jupyter-prometheus/Dockerfile index 46ce3e18..6c4515c9 100644 --- a/jupyter-prometheus/Dockerfile +++ b/jupyter-prometheus/Dockerfile @@ -1,4 +1,4 @@ -FROM quay.io/cdis/jupyter-superslim-r:1.0.4 +FROM quay.io/cdis/jupyter-superslim-r:2.1.0 ARG NOTEBOOK_DIR @@ -41,4 +41,4 @@ else \n\ fi \n\ ' | bash -RUN echo 'function ve(){ mkdir virtualenv; cd virtualenv; VENV="$1"; python3 -m venv $VENV --system-site-packages; source $VENV/bin/activate; python -m ipykernel install --user --name=$VENV; deactivate;}' >> ~/.bashrc \ No newline at end of file +RUN echo 'function ve(){ mkdir virtualenv; cd virtualenv; VENV="$1"; python3 -m venv $VENV --system-site-packages; source $VENV/bin/activate; python -m ipykernel install --user --name=$VENV; deactivate;}' >> ~/.bashrc From 853b8b69f74fa9a1d2a4ee0ba097df02278e7c3d Mon Sep 17 00:00:00 2001 From: Jawad Qureshi Date: Mon, 25 Aug 2025 14:00:34 -0500 Subject: [PATCH 038/108] Change installation commands to AL23 compatible ones. --- jupyter-prometheus/Dockerfile | 132 +++++++++++++++++++++++++--------- 1 file changed, 97 insertions(+), 35 deletions(-) diff --git a/jupyter-prometheus/Dockerfile b/jupyter-prometheus/Dockerfile index 6c4515c9..4abc55bd 100644 --- a/jupyter-prometheus/Dockerfile +++ b/jupyter-prometheus/Dockerfile @@ -2,43 +2,105 @@ FROM quay.io/cdis/jupyter-superslim-r:2.1.0 ARG NOTEBOOK_DIR -COPY $NOTEBOOK_DIR/ $HOME/ USER root -RUN apt-get update && apt-get install -y --no-install-recommends \ - curl \ + +# Install system dependencies +RUN dnf update -y && dnf install -y \ + # curl \ python3 \ python3-pip \ - g++ \ - libxml2-dev \ - libssl-dev \ - libcurl4-openssl-dev \ - libssh2-1-dev \ - zlib1g-dev \ + gcc-c++ \ + libxml2-devel \ + openssl-devel \ + libcurl-devel \ + libssh2-devel \ + zlib-devel \ openssl \ - gdebi-core \ - libgsl* \ - libudunits2-dev \ - libgs-dev \ + gsl-devel \ + ghostscript-devel \ unzip \ - wget && \ - apt-get clean && \ - rm -rf /var/lib/apt/lists/* - -RUN pip uninstall -y gen3 -RUN pip3 install gen3 -RUN pip3 install pandas -RUN pip3 install seaborn -RUN pip3 install matplotlib -RUN pip3 install scipy - -RUN printf '\n\ -if [ -f $HOME/requirements.txt ]; then \n\ - echo "Will install requirements.txt" \n\ - conda install --file $HOME/requirements.txt \n\ - rm $HOME/requirements.txt \n\ -else \n\ - echo "No dependencies to install." \n\ -fi \n\ -' | bash - -RUN echo 'function ve(){ mkdir virtualenv; cd virtualenv; VENV="$1"; python3 -m venv $VENV --system-site-packages; source $VENV/bin/activate; python -m ipykernel install --user --name=$VENV; deactivate;}' >> ~/.bashrc + wget \ + tar \ + gzip \ + shadow-utils \ + && dnf clean all + +# Install udunits2 from source since it's not in AL2023 repos +# RUN wget -q https://artifacts.unidata.ucar.edu/repository/downloads-udunits/2.2.28/udunits-2.2.28.tar.gz && \ +# tar -xzf udunits-2.2.28.tar.gz && \ +# cd udunits-2.2.28 && \ +# ./configure --prefix=/usr/local && \ +# make && make install && \ +# cd .. && rm -rf udunits-2.2.28* && \ +# echo "/usr/local/lib" >> /etc/ld.so.conf.d/udunits2.conf && \ +# ldconfig + +# Create user and home directory if they don't exist +RUN if ! id -u jovyan >/dev/null 2>&1; then \ + useradd -m -s /bin/bash jovyan; \ + fi + +# Set HOME variable +ENV HOME=/home/jovyan + +# Copy notebook directory +COPY $NOTEBOOK_DIR/ $HOME/ + +# Switch to root for installations +USER root + +# Install Python packages with dependency resolution fixes +RUN pip3 uninstall -y gen3 || true + +# Install packages in order of dependency complexity to avoid resolution issues +RUN pip3 install --no-cache-dir --upgrade pip setuptools wheel + +# Install foundational packages first +RUN pip3 install --no-cache-dir \ + numpy>=1.21.0 \ + scipy>=1.7.0 + +# Install data science packages +RUN pip3 install --no-cache-dir \ + pandas>=1.3.0 \ + matplotlib>=3.5.0 \ + seaborn>=0.11.0 + +# Install Jupyter components +RUN pip3 install --no-cache-dir \ + notebook>=6.4.0 \ + jupyterlab>=3.0.0 \ + ipykernel>=6.0.0 + +# Install gen3 last as it may have specific version constraints +RUN pip3 install --no-cache-dir gen3 + +# Install conda (miniconda) for AL2023 +# RUN wget -q https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O /tmp/miniconda.sh && \ +# bash /tmp/miniconda.sh -b -p /opt/conda && \ +# rm /tmp/miniconda.sh && \ +# /opt/conda/bin/conda clean -afy + +# Add conda to PATH +ENV PATH="/opt/conda/bin:${PATH}" + +# Handle requirements.txt if present +RUN if [ -f $HOME/requirements.txt ]; then \ + echo "Will install requirements.txt"; \ + /opt/conda/bin/conda install --file $HOME/requirements.txt || \ + pip3 install -r $HOME/requirements.txt; \ + rm $HOME/requirements.txt; \ + else \ + echo "No dependencies to install."; \ + fi + +# Add virtual environment function to bashrc +RUN echo 'function ve(){ mkdir -p virtualenv; cd virtualenv; VENV="$1"; python3 -m venv $VENV --system-site-packages; source $VENV/bin/activate; python -m ipykernel install --user --name=$VENV; deactivate;}' >> /home/jovyan/.bashrc + +# Fix ownership +RUN chown -R jovyan $HOME + +# Switch to non-root user +USER jovyan + +WORKDIR $HOME From 92d6f5aa62839f642e15dd23611fd0fa5366e01d Mon Sep 17 00:00:00 2001 From: George Thomas Date: Tue, 26 Aug 2025 08:18:19 -0700 Subject: [PATCH 039/108] (HP-2203) install jq in Dockerfile --- jupyter-pystata-gen3-licensed/Dockerfile | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/jupyter-pystata-gen3-licensed/Dockerfile b/jupyter-pystata-gen3-licensed/Dockerfile index b448cc7a..667cf435 100644 --- a/jupyter-pystata-gen3-licensed/Dockerfile +++ b/jupyter-pystata-gen3-licensed/Dockerfile @@ -2,7 +2,7 @@ FROM quay.io/cdis/jupyter-pystata-user-licensed:2.0.0 USER root RUN apt-get update -RUN apt-get install -y firefox +RUN apt-get install -y firefox jq RUN wget https://github.com/mozilla/geckodriver/releases/download/v0.35.0/geckodriver-v0.35.0-linux64.tar.gz RUN tar -xvzf geckodriver* RUN mv geckodriver /bin/ From add450f4114bc28f53a74d18bb488cb89279d9c7 Mon Sep 17 00:00:00 2001 From: George Thomas Date: Thu, 28 Aug 2025 14:36:26 -0700 Subject: [PATCH 040/108] (HP-2203) temporarily use test branch of superslim --- jupyter-pystata-user-licensed/Dockerfile | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/jupyter-pystata-user-licensed/Dockerfile b/jupyter-pystata-user-licensed/Dockerfile index ba214f17..d2e858a5 100644 --- a/jupyter-pystata-user-licensed/Dockerfile +++ b/jupyter-pystata-user-licensed/Dockerfile @@ -1,4 +1,5 @@ -FROM quay.io/cdis/jupyter-superslim:2.0.0 +FROM quay.io/cdis/jupyter-superslim:feat_add-debug-statements +# TODO: revert back to tag after tests USER root RUN apt-get update From 464ee79d1b620d3969418696d8e478749204b7a0 Mon Sep 17 00:00:00 2001 From: George Thomas Date: Thu, 28 Aug 2025 14:41:24 -0700 Subject: [PATCH 041/108] (HP-2203) fix typo in branch name --- jupyter-pystata-user-licensed/Dockerfile | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/jupyter-pystata-user-licensed/Dockerfile b/jupyter-pystata-user-licensed/Dockerfile index d2e858a5..60bb79ad 100644 --- a/jupyter-pystata-user-licensed/Dockerfile +++ b/jupyter-pystata-user-licensed/Dockerfile @@ -1,4 +1,4 @@ -FROM quay.io/cdis/jupyter-superslim:feat_add-debug-statements +FROM quay.io/cdis/jupyter-superslim:test_add-debug-statements # TODO: revert back to tag after tests USER root From 74c2679db5e45ff9d8e49869e46210b15d996f73 Mon Sep 17 00:00:00 2001 From: George Thomas Date: Thu, 28 Aug 2025 16:32:05 -0700 Subject: [PATCH 042/108] (HP-2203) Remove new blank lines from Dockerfile --- jupyter-pystata-gen3-licensed/Dockerfile | 1 - jupyter-pystata-user-licensed/Dockerfile | 1 - 2 files changed, 2 deletions(-) diff --git a/jupyter-pystata-gen3-licensed/Dockerfile b/jupyter-pystata-gen3-licensed/Dockerfile index 4c95c323..3bc67db9 100644 --- a/jupyter-pystata-gen3-licensed/Dockerfile +++ b/jupyter-pystata-gen3-licensed/Dockerfile @@ -1,7 +1,6 @@ FROM quay.io/cdis/jupyter-pystata-user-licensed:3.0.0 USER root - RUN yum install -y firefox RUN wget https://github.com/mozilla/geckodriver/releases/download/v0.35.0/geckodriver-v0.35.0-linux64.tar.gz RUN tar -xvzf geckodriver* diff --git a/jupyter-pystata-user-licensed/Dockerfile b/jupyter-pystata-user-licensed/Dockerfile index c2e789db..d7af5c8d 100644 --- a/jupyter-pystata-user-licensed/Dockerfile +++ b/jupyter-pystata-user-licensed/Dockerfile @@ -1,7 +1,6 @@ FROM quay.io/cdis/jupyter-superslim:2.1.0 - USER root # This is needed for running stata_setup From 678c918a37abfd84f69f2a4fdb9106658852de70 Mon Sep 17 00:00:00 2001 From: George Thomas Date: Thu, 28 Aug 2025 16:36:09 -0700 Subject: [PATCH 043/108] (HP_2203) install jq --- jupyter-pystata-gen3-licensed/Dockerfile | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/jupyter-pystata-gen3-licensed/Dockerfile b/jupyter-pystata-gen3-licensed/Dockerfile index 3bc67db9..91644b7f 100644 --- a/jupyter-pystata-gen3-licensed/Dockerfile +++ b/jupyter-pystata-gen3-licensed/Dockerfile @@ -1,7 +1,7 @@ FROM quay.io/cdis/jupyter-pystata-user-licensed:3.0.0 USER root -RUN yum install -y firefox +RUN yum install -y firefox jq RUN wget https://github.com/mozilla/geckodriver/releases/download/v0.35.0/geckodriver-v0.35.0-linux64.tar.gz RUN tar -xvzf geckodriver* RUN mv geckodriver /bin/ From 73b4572b110fe2f7959c1cf29c858284a864cb6c Mon Sep 17 00:00:00 2001 From: Jawad Qureshi Date: Tue, 2 Sep 2025 14:35:18 -0500 Subject: [PATCH 044/108] fix pip install commands --- jupyter-prometheus/Dockerfile | 26 ++++---------------------- jupyter-prometheus/requirements.txt | 21 +++++++++++++++++++++ 2 files changed, 25 insertions(+), 22 deletions(-) create mode 100644 jupyter-prometheus/requirements.txt diff --git a/jupyter-prometheus/Dockerfile b/jupyter-prometheus/Dockerfile index 4abc55bd..a83e090e 100644 --- a/jupyter-prometheus/Dockerfile +++ b/jupyter-prometheus/Dockerfile @@ -49,31 +49,13 @@ COPY $NOTEBOOK_DIR/ $HOME/ # Switch to root for installations USER root -# Install Python packages with dependency resolution fixes +# Uninstall gen3 if preinstalled RUN pip3 uninstall -y gen3 || true -# Install packages in order of dependency complexity to avoid resolution issues -RUN pip3 install --no-cache-dir --upgrade pip setuptools wheel +# Install everything from requirements.txt +COPY requirements.txt . +RUN pip3 install --no-cache-dir -r requirements.txt -# Install foundational packages first -RUN pip3 install --no-cache-dir \ - numpy>=1.21.0 \ - scipy>=1.7.0 - -# Install data science packages -RUN pip3 install --no-cache-dir \ - pandas>=1.3.0 \ - matplotlib>=3.5.0 \ - seaborn>=0.11.0 - -# Install Jupyter components -RUN pip3 install --no-cache-dir \ - notebook>=6.4.0 \ - jupyterlab>=3.0.0 \ - ipykernel>=6.0.0 - -# Install gen3 last as it may have specific version constraints -RUN pip3 install --no-cache-dir gen3 # Install conda (miniconda) for AL2023 # RUN wget -q https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O /tmp/miniconda.sh && \ diff --git a/jupyter-prometheus/requirements.txt b/jupyter-prometheus/requirements.txt new file mode 100644 index 00000000..d26b5f49 --- /dev/null +++ b/jupyter-prometheus/requirements.txt @@ -0,0 +1,21 @@ +# Core build tools +pip>=21.0 +setuptools>=57.0 +wheel>=0.36 + +# Foundational packages +numpy>=1.21.0 +scipy>=1.7.0 + +# Data science packages +pandas>=1.3.0 +matplotlib>=3.5.0 +seaborn>=0.11.0 + +# Jupyter components +notebook>=6.4.0 +jupyterlab>=3.0.0 +ipykernel>=6.0.0 + +# Domain-specific +gen3 From 18553b2b470f96e93d819b36540b839f91def366 Mon Sep 17 00:00:00 2001 From: George Thomas Date: Tue, 2 Sep 2025 12:36:17 -0700 Subject: [PATCH 045/108] (HP-2203) Use test branc of superslim --- jupyter-pystata-user-licensed/Dockerfile | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/jupyter-pystata-user-licensed/Dockerfile b/jupyter-pystata-user-licensed/Dockerfile index d7af5c8d..9671b3be 100644 --- a/jupyter-pystata-user-licensed/Dockerfile +++ b/jupyter-pystata-user-licensed/Dockerfile @@ -1,5 +1,6 @@ - -FROM quay.io/cdis/jupyter-superslim:2.1.0 +FROM quay.io/cdis/jupyter-superslim:test_add-debug-statements +# TODO: revert back to tag after tests +# FROM quay.io/cdis/jupyter-superslim:2.1.0 USER root From f67f4750e1a2eb9abc3c0d93e76193449d6857b2 Mon Sep 17 00:00:00 2001 From: Jawad Qureshi Date: Tue, 2 Sep 2025 14:58:22 -0500 Subject: [PATCH 046/108] fix pip install commands --- jupyter-prometheus/Dockerfile | 2 +- jupyter-prometheus/requirements.txt | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/jupyter-prometheus/Dockerfile b/jupyter-prometheus/Dockerfile index a83e090e..31ed791f 100644 --- a/jupyter-prometheus/Dockerfile +++ b/jupyter-prometheus/Dockerfile @@ -54,7 +54,7 @@ RUN pip3 uninstall -y gen3 || true # Install everything from requirements.txt COPY requirements.txt . -RUN pip3 install --no-cache-dir -r requirements.txt +# RUN pip3 install --no-cache-dir -r requirements.txt # Install conda (miniconda) for AL2023 diff --git a/jupyter-prometheus/requirements.txt b/jupyter-prometheus/requirements.txt index d26b5f49..bdff8ddf 100644 --- a/jupyter-prometheus/requirements.txt +++ b/jupyter-prometheus/requirements.txt @@ -18,4 +18,4 @@ jupyterlab>=3.0.0 ipykernel>=6.0.0 # Domain-specific -gen3 +# gen3 From f712217a32ad6eeafd67084de00a1f074ea363e3 Mon Sep 17 00:00:00 2001 From: George Thomas Date: Tue, 2 Sep 2025 13:33:27 -0700 Subject: [PATCH 047/108] (HP-3302) Use test branch of user-licensed image --- jupyter-pystata-gen3-licensed/Dockerfile | 4 +++- .../resources/wait_for_license.sh | 8 +++++++- 2 files changed, 10 insertions(+), 2 deletions(-) diff --git a/jupyter-pystata-gen3-licensed/Dockerfile b/jupyter-pystata-gen3-licensed/Dockerfile index 91644b7f..73c070bf 100644 --- a/jupyter-pystata-gen3-licensed/Dockerfile +++ b/jupyter-pystata-gen3-licensed/Dockerfile @@ -1,4 +1,6 @@ -FROM quay.io/cdis/jupyter-pystata-user-licensed:3.0.0 +FROM quay.io/cdis/jupyter-pystata-user-licensed:chore_get-stata-license-from-env +# TODO: revert back to tag after tests +# FROM quay.io/cdis/jupyter-pystata-user-licensed:3.0.0 USER root RUN yum install -y firefox jq diff --git a/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh b/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh index 2423f967..5d3a37e0 100644 --- a/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh +++ b/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh @@ -14,6 +14,11 @@ LICENSE_VAR=${1:-"STATA_WORKSPACE_GEN3_LICENSE"} KEY_VAR=${2:-"stata_license.txt"} TARGET_FILE="/usr/local/stata18/stata.lic" +# TODO remove after testing +echo "Checking env vars" +printenv + + echo "Checking stata license" if [[ ! -n "${!LICENSE_VAR}" ]]; then echo "Exiting. Stata license is empty." @@ -35,6 +40,7 @@ python3 /tmp/setup_licensed_notebook.py rm geckodriver* echo "Init script done." -rm ${TARGET_FILE} +# TODO: uncomment after testing +# rm ${TARGET_FILE} while true; do sleep 1; done From 7576737bc46e4400e0b86c99f9dc0bb7d5e76289 Mon Sep 17 00:00:00 2001 From: George Thomas Date: Tue, 2 Sep 2025 15:05:31 -0700 Subject: [PATCH 048/108] (HP-2203) Change default secret key --- .../resources/wait_for_license.sh | 10 ++-------- 1 file changed, 2 insertions(+), 8 deletions(-) diff --git a/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh b/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh index 5d3a37e0..ab646b39 100644 --- a/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh +++ b/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh @@ -11,14 +11,9 @@ # license.g3auto_key in the hatchery.json. Default = 'stata_license.txt' LICENSE_VAR=${1:-"STATA_WORKSPACE_GEN3_LICENSE"} -KEY_VAR=${2:-"stata_license.txt"} +KEY_VAR=${2:-"stata-license.txt"} TARGET_FILE="/usr/local/stata18/stata.lic" -# TODO remove after testing -echo "Checking env vars" -printenv - - echo "Checking stata license" if [[ ! -n "${!LICENSE_VAR}" ]]; then echo "Exiting. Stata license is empty." @@ -40,7 +35,6 @@ python3 /tmp/setup_licensed_notebook.py rm geckodriver* echo "Init script done." -# TODO: uncomment after testing -# rm ${TARGET_FILE} +rm ${TARGET_FILE} while true; do sleep 1; done From 36bc10c70e75cb7911071f2a77e7d72d49892dfb Mon Sep 17 00:00:00 2001 From: George Thomas Date: Wed, 3 Sep 2025 08:36:11 -0700 Subject: [PATCH 049/108] (HP-2203) Add checks --- .../resources/wait_for_license.sh | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh b/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh index ab646b39..4d142954 100644 --- a/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh +++ b/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh @@ -20,9 +20,20 @@ if [[ ! -n "${!LICENSE_VAR}" ]]; then exit 0 fi +if echo "${!LICENSE_VAR}" | grep -q "${KEY_VAR}" ; then + echo "Found key" +else + echo "Exiting. Environment variable does not contain key ${KEY_VAR}." + exit 0 +fi + LICENSE_DATA="${!LICENSE_VAR}" echo ${LICENSE_DATA} | jq -r --arg k ${KEY_VAR} '.[$k]' > ${TARGET_FILE} +if [[ ! -f "${TARGET_FILE}" ]]; then + echo "Exiting. Did not save license." +fi + echo "Received a license. Starting jupyter." start-notebook.sh $@ & From 90f6c1663b9d799833f4a563ec6ecada831c27a5 Mon Sep 17 00:00:00 2001 From: George Thomas Date: Wed, 3 Sep 2025 11:43:11 -0700 Subject: [PATCH 050/108] (HP-2203) Add exit statement to file check --- jupyter-pystata-gen3-licensed/resources/wait_for_license.sh | 1 + 1 file changed, 1 insertion(+) diff --git a/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh b/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh index 4d142954..572dde3a 100644 --- a/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh +++ b/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh @@ -32,6 +32,7 @@ echo ${LICENSE_DATA} | jq -r --arg k ${KEY_VAR} '.[$k]' > ${TARGET_FILE} if [[ ! -f "${TARGET_FILE}" ]]; then echo "Exiting. Did not save license." + exit 0 fi echo "Received a license. Starting jupyter." From f6696fbef18907b8d9f36134db663f12f0d0e2c7 Mon Sep 17 00:00:00 2001 From: George Thomas Date: Thu, 4 Sep 2025 10:36:34 -0700 Subject: [PATCH 051/108] (HP-2203) hardwire the license name and key --- jupyter-pystata-gen3-licensed/resources/wait_for_license.sh | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh b/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh index 572dde3a..b1da50f4 100644 --- a/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh +++ b/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh @@ -10,8 +10,8 @@ # LICENSE_KEY is the name of the secret key, specified by # license.g3auto_key in the hatchery.json. Default = 'stata_license.txt' -LICENSE_VAR=${1:-"STATA_WORKSPACE_GEN3_LICENSE"} -KEY_VAR=${2:-"stata-license.txt"} +LICENSE_VAR=${"STATA_WORKSPACE_GEN3_LICENSE"} +KEY_VAR=${"stata-license.txt"} TARGET_FILE="/usr/local/stata18/stata.lic" echo "Checking stata license" From a46ce20793d12a1ecb18a2977931667490a223db Mon Sep 17 00:00:00 2001 From: George Thomas Date: Thu, 4 Sep 2025 10:59:16 -0700 Subject: [PATCH 052/108] (HP-2203) Update assignment of license name and key --- jupyter-pystata-gen3-licensed/resources/wait_for_license.sh | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh b/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh index b1da50f4..3c85c349 100644 --- a/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh +++ b/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh @@ -10,8 +10,8 @@ # LICENSE_KEY is the name of the secret key, specified by # license.g3auto_key in the hatchery.json. Default = 'stata_license.txt' -LICENSE_VAR=${"STATA_WORKSPACE_GEN3_LICENSE"} -KEY_VAR=${"stata-license.txt"} +LICENSE_VAR="STATA_WORKSPACE_GEN3_LICENSE" +KEY_VAR="stata-license.txt" TARGET_FILE="/usr/local/stata18/stata.lic" echo "Checking stata license" From 26cb52a34c7aec6a1e41c4ee01dfffbd7ca5350b Mon Sep 17 00:00:00 2001 From: George Thomas Date: Thu, 4 Sep 2025 11:57:03 -0700 Subject: [PATCH 053/108] (HP-2203) Update version of geckodriver --- jupyter-pystata-gen3-licensed/Dockerfile | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/jupyter-pystata-gen3-licensed/Dockerfile b/jupyter-pystata-gen3-licensed/Dockerfile index 73c070bf..0b4b961d 100644 --- a/jupyter-pystata-gen3-licensed/Dockerfile +++ b/jupyter-pystata-gen3-licensed/Dockerfile @@ -4,7 +4,7 @@ FROM quay.io/cdis/jupyter-pystata-user-licensed:chore_get-stata-license-from-env USER root RUN yum install -y firefox jq -RUN wget https://github.com/mozilla/geckodriver/releases/download/v0.35.0/geckodriver-v0.35.0-linux64.tar.gz +RUN wget https://github.com/mozilla/geckodriver/releases/download/v0.36.0/geckodriver-v0.35.0-linux64.tar.gz RUN tar -xvzf geckodriver* RUN mv geckodriver /bin/ From 9d02b0b62f9dd9b46f9455453b8b4c0b540663c7 Mon Sep 17 00:00:00 2001 From: George Thomas Date: Thu, 4 Sep 2025 12:44:53 -0700 Subject: [PATCH 054/108] (HP-2203) fix typo in geckodriver download --- jupyter-pystata-gen3-licensed/Dockerfile | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/jupyter-pystata-gen3-licensed/Dockerfile b/jupyter-pystata-gen3-licensed/Dockerfile index 0b4b961d..9a874d97 100644 --- a/jupyter-pystata-gen3-licensed/Dockerfile +++ b/jupyter-pystata-gen3-licensed/Dockerfile @@ -4,7 +4,7 @@ FROM quay.io/cdis/jupyter-pystata-user-licensed:chore_get-stata-license-from-env USER root RUN yum install -y firefox jq -RUN wget https://github.com/mozilla/geckodriver/releases/download/v0.36.0/geckodriver-v0.35.0-linux64.tar.gz +RUN wget https://github.com/mozilla/geckodriver/releases/download/v0.36.0/geckodriver-v0.36.0-linux64.tar.gz RUN tar -xvzf geckodriver* RUN mv geckodriver /bin/ From 1f0553f102d839ccb4e9246e4b117ee6cf471e1d Mon Sep 17 00:00:00 2001 From: George Thomas Date: Thu, 4 Sep 2025 12:50:13 -0700 Subject: [PATCH 055/108] (HP-2203) unset license env var --- jupyter-pystata-gen3-licensed/resources/wait_for_license.sh | 1 + 1 file changed, 1 insertion(+) diff --git a/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh b/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh index 3c85c349..8e22985a 100644 --- a/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh +++ b/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh @@ -48,5 +48,6 @@ rm geckodriver* echo "Init script done." rm ${TARGET_FILE} +unset ${LICENSE_VAR} while true; do sleep 1; done From 9150e5767b5c68bcb119dba7281323e88a9e1307 Mon Sep 17 00:00:00 2001 From: George Thomas Date: Thu, 4 Sep 2025 13:03:19 -0700 Subject: [PATCH 056/108] (HP-2203) Remove comments --- .../resources/wait_for_license.sh | 10 ---------- 1 file changed, 10 deletions(-) diff --git a/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh b/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh index 8e22985a..80dba4db 100644 --- a/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh +++ b/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh @@ -1,14 +1,4 @@ # Check for license, start jupyter, initialize notebook, remove license -# -# Usage: -# wait_for_license.sh [LICENSE_NAME] [LICENSE_KEY] -# -# where -# LICENSE_NAME is the name of the environment variable with the -# stata license. Default = 'STATA_WORKSPACE_GEN3_LICENSE'. -# -# LICENSE_KEY is the name of the secret key, specified by -# license.g3auto_key in the hatchery.json. Default = 'stata_license.txt' LICENSE_VAR="STATA_WORKSPACE_GEN3_LICENSE" KEY_VAR="stata-license.txt" From 44436b8b0c9b9e3228770656e4dceb2c649d36ab Mon Sep 17 00:00:00 2001 From: George Thomas Date: Thu, 4 Sep 2025 13:25:44 -0700 Subject: [PATCH 057/108] (HP-2203) revert unset of license var --- jupyter-pystata-gen3-licensed/resources/wait_for_license.sh | 1 - 1 file changed, 1 deletion(-) diff --git a/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh b/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh index 80dba4db..0b682581 100644 --- a/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh +++ b/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh @@ -38,6 +38,5 @@ rm geckodriver* echo "Init script done." rm ${TARGET_FILE} -unset ${LICENSE_VAR} while true; do sleep 1; done From 959e376c8a7df4425a3e417ca9086c0ff039fdc0 Mon Sep 17 00:00:00 2001 From: George Thomas Date: Thu, 4 Sep 2025 14:09:38 -0700 Subject: [PATCH 058/108] (HP-2203) unset license var --- jupyter-pystata-gen3-licensed/resources/wait_for_license.sh | 2 ++ 1 file changed, 2 insertions(+) diff --git a/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh b/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh index 0b682581..076bfc42 100644 --- a/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh +++ b/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh @@ -24,6 +24,7 @@ if [[ ! -f "${TARGET_FILE}" ]]; then echo "Exiting. Did not save license." exit 0 fi +unset ${LICENSE_VAR} echo "Received a license. Starting jupyter." @@ -39,4 +40,5 @@ rm geckodriver* echo "Init script done." rm ${TARGET_FILE} + while true; do sleep 1; done From fb681b7aaeeade5deebad31b1e451594598a563d Mon Sep 17 00:00:00 2001 From: George Thomas Date: Thu, 4 Sep 2025 14:17:11 -0700 Subject: [PATCH 059/108] (HP-2203) Unset license from inside notebook --- .../resources/setup_licensed_notebook.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/jupyter-pystata-gen3-licensed/resources/setup_licensed_notebook.py b/jupyter-pystata-gen3-licensed/resources/setup_licensed_notebook.py index 1fb689ea..fca5b996 100644 --- a/jupyter-pystata-gen3-licensed/resources/setup_licensed_notebook.py +++ b/jupyter-pystata-gen3-licensed/resources/setup_licensed_notebook.py @@ -1,3 +1,4 @@ +import os from selenium import webdriver from selenium.webdriver import FirefoxOptions from selenium.webdriver.common.keys import Keys @@ -44,3 +45,6 @@ actions.perform() actions.send_keys(Keys.ENTER) actions.perform() + +# Unset license from inside notebook +os.environ.pop('STATA_WORKSPACE_GEN3_LICENSE', None) From 1e0800537485448fbef58de49f844b7ab1891db3 Mon Sep 17 00:00:00 2001 From: George Thomas Date: Thu, 4 Sep 2025 14:54:23 -0700 Subject: [PATCH 060/108] (HP-2203) Revert unset in wait script --- jupyter-pystata-gen3-licensed/resources/wait_for_license.sh | 1 - 1 file changed, 1 deletion(-) diff --git a/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh b/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh index 076bfc42..33722e0d 100644 --- a/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh +++ b/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh @@ -24,7 +24,6 @@ if [[ ! -f "${TARGET_FILE}" ]]; then echo "Exiting. Did not save license." exit 0 fi -unset ${LICENSE_VAR} echo "Received a license. Starting jupyter." From c31dcb36d7107127deaf4ca69d3f6ab37193fb8d Mon Sep 17 00:00:00 2001 From: George Thomas Date: Thu, 4 Sep 2025 15:13:43 -0700 Subject: [PATCH 061/108] (HP-2203) Unset license in wait script --- jupyter-pystata-gen3-licensed/resources/wait_for_license.sh | 1 + 1 file changed, 1 insertion(+) diff --git a/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh b/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh index 33722e0d..076bfc42 100644 --- a/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh +++ b/jupyter-pystata-gen3-licensed/resources/wait_for_license.sh @@ -24,6 +24,7 @@ if [[ ! -f "${TARGET_FILE}" ]]; then echo "Exiting. Did not save license." exit 0 fi +unset ${LICENSE_VAR} echo "Received a license. Starting jupyter." From ab878a3ea22e0f7778646a8fa67d06369a6d4d33 Mon Sep 17 00:00:00 2001 From: George Thomas Date: Fri, 5 Sep 2025 09:47:43 -0700 Subject: [PATCH 062/108] (HP-2203) Remove unset from setup script --- .../resources/setup_licensed_notebook.py | 3 --- 1 file changed, 3 deletions(-) diff --git a/jupyter-pystata-gen3-licensed/resources/setup_licensed_notebook.py b/jupyter-pystata-gen3-licensed/resources/setup_licensed_notebook.py index fca5b996..5100ffc0 100644 --- a/jupyter-pystata-gen3-licensed/resources/setup_licensed_notebook.py +++ b/jupyter-pystata-gen3-licensed/resources/setup_licensed_notebook.py @@ -45,6 +45,3 @@ actions.perform() actions.send_keys(Keys.ENTER) actions.perform() - -# Unset license from inside notebook -os.environ.pop('STATA_WORKSPACE_GEN3_LICENSE', None) From a6f3a3ebd3715a3a692eee2a4ec779446d413fe8 Mon Sep 17 00:00:00 2001 From: George Thomas Date: Fri, 5 Sep 2025 15:01:54 -0700 Subject: [PATCH 063/108] (HP-2203) revert to regular tag of superslim for user-liceensed --- jupyter-pystata-user-licensed/Dockerfile | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/jupyter-pystata-user-licensed/Dockerfile b/jupyter-pystata-user-licensed/Dockerfile index 9671b3be..fc223be6 100644 --- a/jupyter-pystata-user-licensed/Dockerfile +++ b/jupyter-pystata-user-licensed/Dockerfile @@ -1,6 +1,4 @@ -FROM quay.io/cdis/jupyter-superslim:test_add-debug-statements -# TODO: revert back to tag after tests -# FROM quay.io/cdis/jupyter-superslim:2.1.0 +FROM quay.io/cdis/jupyter-superslim:2.1.0 USER root From dc85c01fb038278535d3b0ef5ddcbb05cb642f4a Mon Sep 17 00:00:00 2001 From: George Thomas Date: Mon, 8 Sep 2025 07:32:23 -0700 Subject: [PATCH 064/108] (HP-2203) Revert to regular tag of user-licensed image --- jupyter-pystata-gen3-licensed/Dockerfile | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/jupyter-pystata-gen3-licensed/Dockerfile b/jupyter-pystata-gen3-licensed/Dockerfile index 9a874d97..ec794dbc 100644 --- a/jupyter-pystata-gen3-licensed/Dockerfile +++ b/jupyter-pystata-gen3-licensed/Dockerfile @@ -1,6 +1,4 @@ -FROM quay.io/cdis/jupyter-pystata-user-licensed:chore_get-stata-license-from-env -# TODO: revert back to tag after tests -# FROM quay.io/cdis/jupyter-pystata-user-licensed:3.0.0 +FROM quay.io/cdis/jupyter-pystata-user-licensed:3.0.0 USER root RUN yum install -y firefox jq From a0540f060e746852fd60deac002506cf4b5503d4 Mon Sep 17 00:00:00 2001 From: George Thomas Date: Mon, 8 Sep 2025 10:43:17 -0700 Subject: [PATCH 065/108] (HP-2203) Remove unused import --- .../resources/setup_licensed_notebook.py | 1 - 1 file changed, 1 deletion(-) diff --git a/jupyter-pystata-gen3-licensed/resources/setup_licensed_notebook.py b/jupyter-pystata-gen3-licensed/resources/setup_licensed_notebook.py index 5100ffc0..1fb689ea 100644 --- a/jupyter-pystata-gen3-licensed/resources/setup_licensed_notebook.py +++ b/jupyter-pystata-gen3-licensed/resources/setup_licensed_notebook.py @@ -1,4 +1,3 @@ -import os from selenium import webdriver from selenium.webdriver import FirefoxOptions from selenium.webdriver.common.keys import Keys From 0c2d9883a5f5ad41547a45efda6aef5328f8fef4 Mon Sep 17 00:00:00 2001 From: "J. Q." <55899496+jawadqur@users.noreply.github.com> Date: Thu, 11 Sep 2025 10:10:03 -0500 Subject: [PATCH 066/108] Add gen3sdk back to pdp --- jupyter-prometheus/requirements.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/jupyter-prometheus/requirements.txt b/jupyter-prometheus/requirements.txt index bdff8ddf..d26b5f49 100644 --- a/jupyter-prometheus/requirements.txt +++ b/jupyter-prometheus/requirements.txt @@ -18,4 +18,4 @@ jupyterlab>=3.0.0 ipykernel>=6.0.0 # Domain-specific -# gen3 +gen3 From cbd5c0cdf4db74ca5fceba9409879dbd226b9fa1 Mon Sep 17 00:00:00 2001 From: smvgarcia <111767892+smvgarcia@users.noreply.github.com> Date: Tue, 16 Sep 2025 13:21:14 -0500 Subject: [PATCH 067/108] Update nextflow-welcome.html Update to add additional instructions about general use of the workspace and where to find examples. --- jupyter-nextflow/nextflow-welcome.html | 95 +++++++++++++++++++------- 1 file changed, 70 insertions(+), 25 deletions(-) diff --git a/jupyter-nextflow/nextflow-welcome.html b/jupyter-nextflow/nextflow-welcome.html index 05a9afd8..9f634175 100644 --- a/jupyter-nextflow/nextflow-welcome.html +++ b/jupyter-nextflow/nextflow-welcome.html @@ -28,37 +28,82 @@ padding: 10px } -

Welcome to the Nextflow Workspace

+

Welcome to the BRH Nextflow Workspace

-

This is your personal workspace. The "pd" folder represents your - persistent drive:

+

This is your personal workspace. No one else can access the data or files here.

+

You can learn more about using the BRH Workspace in the + BRH Documentation. +

+

The /pd folder (find it in the panel on the left) is your persistent drive: +

    -
  • The files you save here will still be available when you come back - after terminating your workspace session. -
  • Any personal files outside of this folder will be lost. +
  • Use this folder to store files (notebooks, data files, etc) that you want to use again later. + The files you save here will still be available when you come back after terminating your workspace session.
    • +
  • Any files you create or add outside of this folder will be lost if they are not moved to the /pd + before your workspace session terminates.
    • +
  • The Nextflow image /pd has a storage capacity limit of 10Gi
-

Get started with Nextflow

-

If you are new to Nextflow, visit nextflow.io for detailed information. +

The folder /brh.data-commons.org in the /data folder will host any data files you have + downloaded to the workspace through the BRH Discovery Page. + Move these files to the /pd directory if you want to access them again after you terminate your workspace session. +

+

Get started with Data Exploration

+

Open a new "Launcher" tab by clicking the + next to nextflow-welcome.html tab at the + top of this document. +

+

From the Launcher tab, you can open: a new, empty Jupyter notebook; open a new code console or terminal window; or, + create several types of files (text, Markdown, Python). For notebooks or files - remember to move the file into the + /pd drive if you want to access them in a later workspace session. +

+

You can learn how to download data files + through the BRH discovery page in our documentation. +

+

Install software tools by using pip install (Python) or CRAN (R). + If you have a requirements text, you can install them with pip install -r requirements.txt. + You can view all pre-installed software packages by opening a terminal window and using the command pip list +

+

There are some Nextflow examples that can be run without external containers in the + BRH documentation. + Find other examples of analyses that can be done in the BRH Workspace on the + BRH Example Analyses page. +

+

If the locally-stored files you wish to analyze are large in number and/or size, you may need to zip them before + uploading to a workspace. Once in a workspace, files can be unzipped using the python library + zipfile. +

+ +

Get started with Nextflow

+

Note: The Nextflow CPU image is currently sized for smaller analyses and testing. + The maximum storage in the /pd (including any notebooks or tools installed) is 10Gi. + If you need a larger image for your analyses, please reach out to the BRH support team at + brhsupport@gen3.org to discuss the possibility of a larger image. +

+

If you are new to Nextflow, visit nextflow.io for detailed information. You can also learn more about using Nextflow in BRH Workspace in the BRH Documentation. + href=https://uc-cdis.github.io/BRH-documentation/01-home>BRH Documentation. +

+

This workspace is set up to run Nextflow workflows in AWS Batch. + Your Nextflow configuration must include: +

+
    +
  • the Batch queue (in your config file, process.queue),
    • +
  • IAM role ARN (aws.batch.jobRole), and
    • +
  • work directory (workDir)
    • +
+

These were created for you automatically, and the sample config file is already configured with these settings. + It will allow you to run simple workflows and can be adapted to your needs.

-

This workspace is set up to run Nextflow workflows in AWS Batch. Your - Nextflow configuration must include the Batch queue (in your config file, - process.queue), IAM role ARN (aws.batch.jobRole), and work - directory (workDir) that were created for you automatically. The sample config - file is already configured with these settings. It will allow you to run simple workflows and can be adapted to your - needs. To get started: +

To get started:

    -
  • If you want your nextflow.config file to persist, first double-click on the "pd" folder. -
  • Open a new "Launcher" tab by clicking the + next to nextflow-welcome.html -
  • Scroll down until you see the option for terminal. Click to open a terminal. -
  • You can find your sample configuration file in the "data" directory. - Copy it to a new "nextflow.config" file by running this command in the - terminal: cp - ../data/sample-nextflow-config.txt ./nextflow.config -
  • Launch a Hello World workflow by running this command in the terminal: - nextflow run hello +
  • If you want your nextflow.config file to persist, first double-click on the /pd folder.
    • +
  • Open a new "Launcher" tab by clicking the + next to nextflow-welcome.html
    • +
  • Scroll down until you see the option for terminal. Click to open a terminal.
    • +
  • You can find your sample configuration file in the /data directory. + Copy it to a new nextflow.config file by running this command in the terminal:
    • + cp ../data/sample-nextflow-config.txt ./nextflow.config. + Because you opened the /pd folder before you ran the command, it will save your config in the /pd. +
  • Launch a Hello World workflow by running this command in the terminal: + nextflow run hello
From f996f16bcd82ac293fc08c8890fb6fd23155047b Mon Sep 17 00:00:00 2001 From: Jawad Qureshi Date: Wed, 17 Sep 2025 12:58:14 -0500 Subject: [PATCH 068/108] Add utilities image with curl/kubectl --- utilities/Dockerfile | 21 +++++++++++++++++++++ 1 file changed, 21 insertions(+) create mode 100644 utilities/Dockerfile diff --git a/utilities/Dockerfile b/utilities/Dockerfile new file mode 100644 index 00000000..fb5d0a05 --- /dev/null +++ b/utilities/Dockerfile @@ -0,0 +1,21 @@ +# Use the amazonlinux-base image as the base +FROM quay.io/cdis/amazonlinux-base + +# Install curl (if not already present) +RUN yum update -y && \ + yum install -y curl && \ + yum clean all + +# Install kubectl +RUN curl -LO "https://dl.k8s.io/release/$(curl -L -s https://dl.k8s.io/release/stable.txt)/bin/linux/amd64/kubectl" && \ + chmod +x kubectl && \ + mv kubectl /usr/local/bin/ + +# Verify installations +RUN curl --version && kubectl version --client + +# Set working directory +WORKDIR /app + +# Default command +CMD ["/bin/bash"] From d9cb02970eae010c5e651a3976e842dcda528d05 Mon Sep 17 00:00:00 2001 From: Jawad Qureshi Date: Wed, 17 Sep 2025 13:00:34 -0500 Subject: [PATCH 069/108] Add GH actions for utils --- .github/workflows/build_utils_image.yml | 22 ++++++++++++++++++++++ 1 file changed, 22 insertions(+) create mode 100644 .github/workflows/build_utils_image.yml diff --git a/.github/workflows/build_utils_image.yml b/.github/workflows/build_utils_image.yml new file mode 100644 index 00000000..8c6fa099 --- /dev/null +++ b/.github/workflows/build_utils_image.yml @@ -0,0 +1,22 @@ +name: Build and push VADC notebook image + +on: + push: + paths: + - utilities/** + - .github/workflows/build_utils_image.yml + +jobs: + jupyter-vadc: + name: Build and Push jupyter-vadc + uses: uc-cdis/.github/.github/workflows/image_build_push.yaml@master + with: + DOCKERFILE_LOCATION: "./utilities/Dockerfile" + DOCKERFILE_BUILD_CONTEXT: "./utilites" + OVERRIDE_REPO_NAME: "utilities" + # OVERRIDE_TAG_NAME: "vadc-$(echo ${GITHUB_REF#refs/*/} | tr / _)" + secrets: + ECR_AWS_ACCESS_KEY_ID: ${{ secrets.ECR_AWS_ACCESS_KEY_ID }} + ECR_AWS_SECRET_ACCESS_KEY: ${{ secrets.ECR_AWS_SECRET_ACCESS_KEY }} + QUAY_USERNAME: ${{ secrets.QUAY_USERNAME }} + QUAY_ROBOT_TOKEN: ${{ secrets.QUAY_ROBOT_TOKEN }} From dcd6286f16b90fe667123be1c2e8c1505f14f093 Mon Sep 17 00:00:00 2001 From: Jawad Qureshi Date: Wed, 17 Sep 2025 13:06:46 -0500 Subject: [PATCH 070/108] Add GH actions for utils --- .github/workflows/build_utils_image.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/build_utils_image.yml b/.github/workflows/build_utils_image.yml index 8c6fa099..0348e9d8 100644 --- a/.github/workflows/build_utils_image.yml +++ b/.github/workflows/build_utils_image.yml @@ -12,7 +12,7 @@ jobs: uses: uc-cdis/.github/.github/workflows/image_build_push.yaml@master with: DOCKERFILE_LOCATION: "./utilities/Dockerfile" - DOCKERFILE_BUILD_CONTEXT: "./utilites" + DOCKERFILE_BUILD_CONTEXT: "./utilities" OVERRIDE_REPO_NAME: "utilities" # OVERRIDE_TAG_NAME: "vadc-$(echo ${GITHUB_REF#refs/*/} | tr / _)" secrets: From 611a06179ba73b26fb13a761b60fa8f66f3093c1 Mon Sep 17 00:00:00 2001 From: Jawad Qureshi Date: Wed, 17 Sep 2025 13:13:44 -0500 Subject: [PATCH 071/108] curl is already installed - no need to re-install --- utilities/Dockerfile | 5 ----- 1 file changed, 5 deletions(-) diff --git a/utilities/Dockerfile b/utilities/Dockerfile index fb5d0a05..251e8df8 100644 --- a/utilities/Dockerfile +++ b/utilities/Dockerfile @@ -1,11 +1,6 @@ # Use the amazonlinux-base image as the base FROM quay.io/cdis/amazonlinux-base -# Install curl (if not already present) -RUN yum update -y && \ - yum install -y curl && \ - yum clean all - # Install kubectl RUN curl -LO "https://dl.k8s.io/release/$(curl -L -s https://dl.k8s.io/release/stable.txt)/bin/linux/amd64/kubectl" && \ chmod +x kubectl && \ From 8d565415cca2d48f27e09da54f855146927f24de Mon Sep 17 00:00:00 2001 From: Jawad Qureshi Date: Wed, 17 Sep 2025 13:16:38 -0500 Subject: [PATCH 072/108] curl is already installed - no need to re-install --- .github/workflows/build_utils_image.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/build_utils_image.yml b/.github/workflows/build_utils_image.yml index 0348e9d8..50c2efbf 100644 --- a/.github/workflows/build_utils_image.yml +++ b/.github/workflows/build_utils_image.yml @@ -1,4 +1,4 @@ -name: Build and push VADC notebook image +name: Build and push utilities image on: push: From cabee8a8e9a55afcc0b7b21cb27e88b87b6da00f Mon Sep 17 00:00:00 2001 From: Jawad Qureshi Date: Wed, 17 Sep 2025 13:16:52 -0500 Subject: [PATCH 073/108] Fix naming in gh actions --- .github/workflows/build_utils_image.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/build_utils_image.yml b/.github/workflows/build_utils_image.yml index 50c2efbf..4ebf011c 100644 --- a/.github/workflows/build_utils_image.yml +++ b/.github/workflows/build_utils_image.yml @@ -7,7 +7,7 @@ on: - .github/workflows/build_utils_image.yml jobs: - jupyter-vadc: + utils: name: Build and Push jupyter-vadc uses: uc-cdis/.github/.github/workflows/image_build_push.yaml@master with: From c43a026e8a8173aa0d4acefdc6adc237c081279b Mon Sep 17 00:00:00 2001 From: Jawad Qureshi Date: Wed, 17 Sep 2025 14:04:54 -0500 Subject: [PATCH 074/108] Quay only... --- .github/workflows/build_utils_image.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/.github/workflows/build_utils_image.yml b/.github/workflows/build_utils_image.yml index 4ebf011c..81ad4994 100644 --- a/.github/workflows/build_utils_image.yml +++ b/.github/workflows/build_utils_image.yml @@ -14,6 +14,7 @@ jobs: DOCKERFILE_LOCATION: "./utilities/Dockerfile" DOCKERFILE_BUILD_CONTEXT: "./utilities" OVERRIDE_REPO_NAME: "utilities" + USE_QUAY_ONLY: "true" # OVERRIDE_TAG_NAME: "vadc-$(echo ${GITHUB_REF#refs/*/} | tr / _)" secrets: ECR_AWS_ACCESS_KEY_ID: ${{ secrets.ECR_AWS_ACCESS_KEY_ID }} From ab8e6980fb0d52bc4ea056abab5e2bd4dfdbd37b Mon Sep 17 00:00:00 2001 From: Jawad Qureshi Date: Wed, 17 Sep 2025 14:05:56 -0500 Subject: [PATCH 075/108] Quay only... --- .github/workflows/build_utils_image.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/build_utils_image.yml b/.github/workflows/build_utils_image.yml index 81ad4994..676ee48a 100644 --- a/.github/workflows/build_utils_image.yml +++ b/.github/workflows/build_utils_image.yml @@ -14,7 +14,7 @@ jobs: DOCKERFILE_LOCATION: "./utilities/Dockerfile" DOCKERFILE_BUILD_CONTEXT: "./utilities" OVERRIDE_REPO_NAME: "utilities" - USE_QUAY_ONLY: "true" + USE_QUAY_ONLY: true # OVERRIDE_TAG_NAME: "vadc-$(echo ${GITHUB_REF#refs/*/} | tr / _)" secrets: ECR_AWS_ACCESS_KEY_ID: ${{ secrets.ECR_AWS_ACCESS_KEY_ID }} From 5f4286865080ac86d86548979a233fd1caa7fcfe Mon Sep 17 00:00:00 2001 From: Mingfei Shao Date: Thu, 18 Sep 2025 12:49:16 -0500 Subject: [PATCH 076/108] update dockerfile --- BRH-notebooks/Dockerfile | 11 +++++------ 1 file changed, 5 insertions(+), 6 deletions(-) diff --git a/BRH-notebooks/Dockerfile b/BRH-notebooks/Dockerfile index e4af1f4b..efa5cb1f 100644 --- a/BRH-notebooks/Dockerfile +++ b/BRH-notebooks/Dockerfile @@ -1,4 +1,4 @@ -FROM quay.io/cdis/jupyter-superslim-r:1.0.4 +FROM quay.io/cdis/jupyter-superslim-r:2.0.1 ARG NOTEBOOK_DIR @@ -26,13 +26,12 @@ RUN apt-get update && apt-get install -y --no-install-recommends \ RUN pip uninstall -y gen3 RUN pip3 install gen3 -RUN conda config --append channels conda-forge -RUN conda config --add channels bioconda RUN conda install -c plotly plotly RUN conda install -c bioconda bioconductor-gdcrnatools -RUN conda install -c conda-forge scikit-allel -run R -e "BiocManager::install('DESeq2')" -run R -e "BiocManager::install('TCGAbiolinks')" +RUN conda install -c conda-forge scikit-allel==1.3.6 +RUN R -e "if (!requireNamespace('BiocManager', quietly = TRUE)) install.packages('BiocManager', repos = 'https://cran.rstudio.com')" +RUN R -e "BiocManager::install('DESeq2')" +RUN R -e "BiocManager::install('TCGAbiolinks')" RUN printf '\n\ From 4aa7599e8fc00acf92c2e021b2f6e1cf691541d6 Mon Sep 17 00:00:00 2001 From: Mingfei Shao Date: Thu, 18 Sep 2025 12:49:35 -0500 Subject: [PATCH 077/108] update --- BRH-notebooks/generic_rkernel/requirements.txt | 1 - 1 file changed, 1 deletion(-) diff --git a/BRH-notebooks/generic_rkernel/requirements.txt b/BRH-notebooks/generic_rkernel/requirements.txt index bf1327c0..e0fecb6e 100644 --- a/BRH-notebooks/generic_rkernel/requirements.txt +++ b/BRH-notebooks/generic_rkernel/requirements.txt @@ -1,2 +1 @@ scipy==1.9.2 -# trigger build From a7c6ae6a99f9eadd69361d3f556585c541247e7d Mon Sep 17 00:00:00 2001 From: Mingfei Shao Date: Thu, 18 Sep 2025 12:57:16 -0500 Subject: [PATCH 078/108] test --- BRH-notebooks/generic_rkernel/requirements.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/BRH-notebooks/generic_rkernel/requirements.txt b/BRH-notebooks/generic_rkernel/requirements.txt index e0fecb6e..bf1327c0 100644 --- a/BRH-notebooks/generic_rkernel/requirements.txt +++ b/BRH-notebooks/generic_rkernel/requirements.txt @@ -1 +1,2 @@ scipy==1.9.2 +# trigger build From 45bc655029c29d5a893552868582f76b06e9d08e Mon Sep 17 00:00:00 2001 From: Mingfei Shao Date: Thu, 18 Sep 2025 13:13:20 -0500 Subject: [PATCH 079/108] test --- BRH-notebooks/combined_demos/requirements.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/BRH-notebooks/combined_demos/requirements.txt b/BRH-notebooks/combined_demos/requirements.txt index db935d72..5363e5ca 100644 --- a/BRH-notebooks/combined_demos/requirements.txt +++ b/BRH-notebooks/combined_demos/requirements.txt @@ -16,3 +16,4 @@ r-dplyr r-tidyr r-haven r-reshape +# trigger build From aeb1b0f9da21f728842cb12c8fb631a807c8f414 Mon Sep 17 00:00:00 2001 From: Mingfei Shao <2475897+mfshao@users.noreply.github.com> Date: Thu, 18 Sep 2025 13:47:18 -0500 Subject: [PATCH 080/108] Update requirements.txt --- BRH-notebooks/generic_rkernel/requirements.txt | 1 - 1 file changed, 1 deletion(-) diff --git a/BRH-notebooks/generic_rkernel/requirements.txt b/BRH-notebooks/generic_rkernel/requirements.txt index bf1327c0..e0fecb6e 100644 --- a/BRH-notebooks/generic_rkernel/requirements.txt +++ b/BRH-notebooks/generic_rkernel/requirements.txt @@ -1,2 +1 @@ scipy==1.9.2 -# trigger build From 4f7c1c6ef54bf09b9a9b6830de302d5e82c07afd Mon Sep 17 00:00:00 2001 From: Mingfei Shao <2475897+mfshao@users.noreply.github.com> Date: Thu, 18 Sep 2025 14:03:16 -0500 Subject: [PATCH 081/108] Update requirements.txt --- BRH-notebooks/combined_demos/requirements.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/BRH-notebooks/combined_demos/requirements.txt b/BRH-notebooks/combined_demos/requirements.txt index 5363e5ca..7bc68630 100644 --- a/BRH-notebooks/combined_demos/requirements.txt +++ b/BRH-notebooks/combined_demos/requirements.txt @@ -3,7 +3,7 @@ plotly==5.6.0 seaborn==0.11.1 openpyxl==3.1.2 pyreadstat==1.2.1 -scikit-learn==1.1.1 +scikit-learn==1.5.0 tableone==0.7.12 lifelines==0.27.4 bioinfokit==2.1.0 From 352e4af3a35f57aed5fdd90f0d4a0ef4322ead73 Mon Sep 17 00:00:00 2001 From: smvgarcia <111767892+smvgarcia@users.noreply.github.com> Date: Thu, 18 Sep 2025 14:59:30 -0500 Subject: [PATCH 082/108] add welcome page to tutorial image note: this has the same file name as generic, but is actually a differnet file --- BRH-notebooks/combined_demos/brh-welcome.html | 90 +++++++++++++++++++ 1 file changed, 90 insertions(+) create mode 100644 BRH-notebooks/combined_demos/brh-welcome.html diff --git a/BRH-notebooks/combined_demos/brh-welcome.html b/BRH-notebooks/combined_demos/brh-welcome.html new file mode 100644 index 00000000..a6a26126 --- /dev/null +++ b/BRH-notebooks/combined_demos/brh-welcome.html @@ -0,0 +1,90 @@ + + +Tutorial Workspace + + +

Welcome to the BRH Tutorial Workspace

+
+

This is your personal workspace. No one else can access the data or files here.

+

You can learn more about using the BRH Workspace in the + BRH Documentation. +

+

The /pd folder (find it in the panel on the left) is your persistent drive: +

+
    +
  • Use this folder to store files (notebooks, data files, etc) that you want to use again later. + The files you save here will still be available when you come back after terminating your workspace session.
    • +
  • Any files you create or add outside of this folder will be lost if they are not moved to the /pd + before your workspace session terminates.
    • +
  • The Tutorial image /pd has a storage capacity limit of 2Gi
    • +
+

The folder /brh.data-commons.org in the /data folder will host any data files you have downloaded to the workspace through the BRH Discovery Page. Move these files to the /pd directory if you want to access them again after you terminate your workspace session. +

+

Get started with Data Exploration

+

Open a new "Launcher" tab by clicking the + next to tutorial-welcome.html tab at the + top of this document. +

+

From the Launcher tab, you can open: a new, empty Jupyter notebook; open a new code console or terminal window; or, + create several types of files (text, Markdown, Python). For notebooks or files - remember to move the file into the + /pd drive if you want to access them in a later workspace session. +

+

You can learn how to download data files through the BRH discovery page in our documentation. +

+

Install software tools by using pip install (Python) or CRAN (R). + If you have a requirements text, you can install them with pip install -r requirements.txt. + You can view all pre-installed software packages by opening a terminal window and using the command pip list +

+

Find some examples of analyses that can be done in the BRH Workspace on the + BRH Example Analyses page. +

+

If the locally-stored files you wish to analyze are large in number and/or size, you may need to zip them before + uploading to a workspace. Once in a workspace, files can be unzipped using the python library + zipfile. +

+ +

Using the Tutorial Notebooks

+

The tutorial notebooks in the panel on the left provide examples of analyses that can be done in the BRH Workspace. + (You can also see the tutorial analyses on the + BRH Example Analyses page.) +

+

The tutorials are read-only; you can run the notebook cells to see the output, but you cannot update any cells + in these notebooks. However, you can create copies of these tutorials that can be edited and customized. + Right-click on the notebook in the left panel, then select Duplicate. The copy will be editable, not read-only. + If you want to save this notebook and your edits, move it to the /pd. +

+

Note:The Tutorial Jupyter Lab image is currently sized for small analyses and testing. + The maximum storage in the /pd (including any notebooks or tools installed) is 2Gi. + If you need a larger image for your analyses, please reach out to the BRH support team at + brhsupport@gen3.org to discuss the possibility of a larger image. +

+

Funding a persistent paymodel

+

To learn how to fund your workspace after your trial period ends, visit our documentation on + persistent paymodels. +

+
From f91d3dfa180022d2a7670e7439841f285a0631fd Mon Sep 17 00:00:00 2001 From: J Maxwell Date: Thu, 18 Sep 2025 15:32:34 -0500 Subject: [PATCH 083/108] trigger build --- BRH-notebooks/combined_demos/requirements.txt | 1 - 1 file changed, 1 deletion(-) diff --git a/BRH-notebooks/combined_demos/requirements.txt b/BRH-notebooks/combined_demos/requirements.txt index 91403d90..7fa62847 100644 --- a/BRH-notebooks/combined_demos/requirements.txt +++ b/BRH-notebooks/combined_demos/requirements.txt @@ -17,4 +17,3 @@ r-dplyr r-tidyr r-haven r-reshape -# trigger build From 2b92bef897516e179d7ba33211b853cf73947e07 Mon Sep 17 00:00:00 2001 From: danbiber Date: Mon, 22 Sep 2025 09:23:40 -0400 Subject: [PATCH 084/108] adding a midrc container with notebooks --- jupyter-midrc/Dockerfile | 39 + .../Access_Files_for_Specific_Case_IDs.ipynb | 479 +++++++++ .../Cases_with_Multiple_Modalities.ipynb | 511 +++++++++ .../Chest_CT_Images_for_Cohort.ipynb | 434 ++++++++ .../Cohort_Building_Using_LOINC_Terms.ipynb | 639 ++++++++++++ ...Using_MIDRC_Temporal_COVID_Test_Data.ipynb | 648 ++++++++++++ .../combined_demos/MIDRC_CT_Scan.ipynb | 542 ++++++++++ .../combined_demos/MIDRC_Clinical_Data.ipynb | 419 ++++++++ .../MIDRC_Cohort_Building-DLL_RSNA_2023.ipynb | 622 +++++++++++ .../MIDRC_Cohort_Building_DLL_RSNA_2024.ipynb | 896 ++++++++++++++++ .../Querying_and_Accessing_MIDRC_Data.ipynb | 970 ++++++++++++++++++ ...ld_a_cohort_of_severe_covid_19_cases.ipynb | 745 ++++++++++++++ jupyter-midrc/requirements.txt | 11 + 13 files changed, 6955 insertions(+) create mode 100644 jupyter-midrc/Dockerfile create mode 100644 jupyter-midrc/combined_demos/Access_Files_for_Specific_Case_IDs.ipynb create mode 100644 jupyter-midrc/combined_demos/Cases_with_Multiple_Modalities.ipynb create mode 100644 jupyter-midrc/combined_demos/Chest_CT_Images_for_Cohort.ipynb create mode 100644 jupyter-midrc/combined_demos/Cohort_Building_Using_LOINC_Terms.ipynb create mode 100644 jupyter-midrc/combined_demos/Cohort_Selection_Using_MIDRC_Temporal_COVID_Test_Data.ipynb create mode 100644 jupyter-midrc/combined_demos/MIDRC_CT_Scan.ipynb create mode 100644 jupyter-midrc/combined_demos/MIDRC_Clinical_Data.ipynb create mode 100644 jupyter-midrc/combined_demos/MIDRC_Cohort_Building-DLL_RSNA_2023.ipynb create mode 100644 jupyter-midrc/combined_demos/MIDRC_Cohort_Building_DLL_RSNA_2024.ipynb create mode 100644 jupyter-midrc/combined_demos/Querying_and_Accessing_MIDRC_Data.ipynb create mode 100644 jupyter-midrc/combined_demos/build_a_cohort_of_severe_covid_19_cases.ipynb create mode 100644 jupyter-midrc/requirements.txt diff --git a/jupyter-midrc/Dockerfile b/jupyter-midrc/Dockerfile new file mode 100644 index 00000000..ccf200ad --- /dev/null +++ b/jupyter-midrc/Dockerfile @@ -0,0 +1,39 @@ +FROM quay.io/cdis/jupyter-superslim-r:1.0.4 + +WORKDIR /home/jovyan + +# Copy your notebooks and requirements.txt into the container +COPY combined_demos/ /home/jovyan/ +COPY requirements.txt /home/jovyan/ + +USER root + +# Install system and dev dependencies +RUN apt-get update && apt-get install -y --no-install-recommends \ + curl \ + python3 \ + python3-pip \ + g++ \ + libxml2-dev \ + libssl-dev \ + libcurl4-openssl-dev \ + libssh2-1-dev \ + zlib1g-dev \ + openssl \ + gdebi-core \ + libgsl* \ + libudunits2-dev \ + libgs-dev \ + unzip \ + wget \ + && apt-get clean \ + && rm -rf /var/lib/apt/lists/* + +# Install Python packages from requirements.txt +RUN pip3 install --upgrade pip && \ + pip3 install --no-cache-dir -r requirements.txt && \ + rm requirements.txt + +USER jovyan + +CMD ["start-notebook.sh"] diff --git a/jupyter-midrc/combined_demos/Access_Files_for_Specific_Case_IDs.ipynb b/jupyter-midrc/combined_demos/Access_Files_for_Specific_Case_IDs.ipynb new file mode 100644 index 00000000..b56f695e --- /dev/null +++ b/jupyter-midrc/combined_demos/Access_Files_for_Specific_Case_IDs.ipynb @@ -0,0 +1,479 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "d8ef63c3", + "metadata": {}, + "source": [ + "# How to Access Files for Specific Case IDs\n", + "---\n", + "This notebook demonstrates how to build a cohort of MIDRC patients based on clinical and demographic data and then obtain a file download manifest for x-ray and annotation files related to that cohort.\n", + "\n", + "by Chris Meyer, PhD\n", + "\n", + "Manager of Data and User Services at the Center for Translational Data Science at University of Chicago\n", + "\n", + "August 2023\n", + "\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "5db7f87c", + "metadata": {}, + "source": [ + "## 1) Set up Python environment\n", + "---\n" + ] + }, + { + "cell_type": "markdown", + "id": "1bffd5d4", + "metadata": {}, + "source": [ + "### Set local variables\n", + "---\n", + "Change the following directory paths to a valid working directories where you're running this notebook." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c3c59c2c", + "metadata": {}, + "outputs": [], + "source": [ + "cred = \"/Users/christopher/Downloads/midrc-credentials.json\" # location of your MIDRC credentials, downloaded from https://data.midrc.org/identity by clicking \"Create API key\" button and saving the credentials.json locally\n", + "api = \"https://data.midrc.org\" # The base URL of the data commons being queried. This shouldn't change for MIDRC.\n" + ] + }, + { + "cell_type": "markdown", + "id": "7962e54c", + "metadata": {}, + "source": [ + "### Install / Import Python Packages and Scripts" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8e1a7935", + "metadata": {}, + "outputs": [], + "source": [ + "## The packages below may be necessary for users to install according to the imports necessary in the subsequent cells.\n", + "\n", + "#!pip install --upgrade pandas\n", + "#!pip install --upgrade --ignore-installed PyYAML\n", + "#!pip install --upgrade pip\n", + "#!pip install --upgrade gen3\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7ea2fa09", + "metadata": {}, + "outputs": [], + "source": [ + "## Import Python Packages and scripts\n", + "\n", + "import os, subprocess\n", + "import gen3\n", + "\n", + "from gen3.auth import Gen3Auth\n", + "from gen3.query import Gen3Query\n" + ] + }, + { + "cell_type": "markdown", + "id": "7784ecc9", + "metadata": {}, + "source": [ + "### Initiate instances of the Gen3 SDK Classes using credentials file for authentication\n", + "---\n", + "Again, make sure the \"cred\" directory path variable reflects the location of your credentials file (path variables set above)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d316dcdf", + "metadata": {}, + "outputs": [], + "source": [ + "auth = Gen3Auth(api, refresh_file=cred) # authentication class\n", + "query = Gen3Query(auth) # query class\n" + ] + }, + { + "cell_type": "markdown", + "id": "85fc475d", + "metadata": {}, + "source": [ + "## 2) Build a cohort of cases by running queries against MIDRC APIs\n", + "---\n", + "* There are many ways to query and access metadata for cohort building in MIDRC, but this notebook will focus on using the [Gen3](https://gen3.org) graphQL query service [\"guppy\"](https://github.com/uc-cdis/guppy/#readme). This is the backend query service that [MIDRC's data explorer GUI](https://data.midrc.org/explorer) uses. So, anything you can do in the explorer GUI, you can do with guppy queries, and more!\n", + "* The guppy graphQL service has more functionality than is demonstrated in this simple example with extensive documentation in GitHub [here](https://github.com/uc-cdis/guppy/blob/master/doc/queries.md) in case you'd like to build your own queries from scratch.\n", + "* The Gen3 SDK (intialized as \"query\" above in this notebook) has Python wrapper scripts to make sending queries to the guppy graphQL API simpler. The guppy SDK package can be viewed in GitHub [here](https://github.com/uc-cdis/gen3sdk-python/blob/master/gen3/query.py).\n" + ] + }, + { + "cell_type": "markdown", + "id": "597cf089", + "metadata": {}, + "source": [ + "### Set 'case' query parameters\n", + "---\n", + "* Below, we first set some query parameters. Feel free to modify these parameters to see how it changes the query response. Setting these patient attributes is akin to selecting a filter value in [MIDRC's data explorer GUI](https://data.midrc.org/explorer). \n", + "* To see more documentation about to use and combine filters with various operator logic (like AND/OR/IN, etc.) see [this page](https://github.com/uc-cdis/guppy/blob/master/doc/queries.md#filter).\n", + "* We then send our query to MIDRC's guppy API endpoint using [the Gen3Query SDK package](https://github.com/uc-cdis/gen3sdk-python/blob/master/gen3/query.py) we initialized earlier. \n", + "* If our query request is successful, the API response should be in JSON format, and it should contain a list of patient IDs along with any other patient data we ask for." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "61e45496", + "metadata": {}, + "outputs": [], + "source": [ + "#### \"case\" query parameters\n", + "## In this example, we're going to filter our patient cohort by asking for Asian male patients between the age of 40 and 89 that tested positive for COVID-19.\n", + "\n", + "## case demographic filters\n", + "sex = \"Male\"\n", + "min_age = 50\n", + "max_age = 89\n", + "\n", + "#### \"nested\" filters, these are attributes from other nodes that are nested under the case node (\"child nodes\" of case in the data model: data.midrc.org/dd)\n", + "## medications (vaccine data)\n", + "medication_manufacturer = [\"Pfizer\",\"Moderna\"] #,\"Janssen\",\"AstraZeneca\",\"Sinopharm\",\"Novavax\"]\n", + "\n", + "## measurements filters (COVID-19 test data)\n", + "test_method = [\"RT-PCR\"] #,\"Rapid antigen test\"]\n", + "test_result_text = [\"Positive\",\"Negative\"]\n", + "\n", + "## conditions filters (co-morbidities and long COVID)\n", + "condition_name = [\"COVID-19\",\"Post COVID-19 condition, unspecified\"] #,\"Pneumonia, organism unspecified\"]\n", + "\n", + "## procedures filters\n", + "procedure_name = [\"Breathing Support\"]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8910b3e4", + "metadata": {}, + "outputs": [], + "source": [ + "## Here is an example getting all the cases in a particular project between ages of 45 and 47\n", + "## the \"fields\" option defines what fields we want the query to return. If set to \"None\", returns all available fields.\n", + "\n", + "cases = query.raw_data_download(\n", + " data_type=\"case\",\n", + "# fields=[\"project_id\",\"submitter_id\"],\n", + " fields=None,\n", + " filter_object={\n", + " \"AND\": [\n", + " {\"=\": {\"sex\": sex}},\n", + " {\">=\": {\"age_at_index\": min_age}},\n", + " {\"<=\": {\"age_at_index\": max_age}},\n", + " {\"nested\": {\"path\": \"medications\", \"IN\": {\"medication_manufacturer\": medication_manufacturer}}},\n", + " {\"nested\": {\"path\": \"measurements\", \"IN\": {\"test_method\": test_method}}},\n", + " {\"nested\": {\"path\": \"measurements\", \"IN\": {\"test_result_text\": test_result_text}}},\n", + " {\"nested\": {\"path\": \"conditions\", \"IN\": {\"condition_name\": condition_name}}},\n", + " #{\"nested\": {\"path\": \"procedures\", \"IN\": {\"procedure_name\": procedure_name}}}, # adding too many filters returns no data\n", + " ]\n", + " },\n", + " sort_fields=[{\"submitter_id\": \"asc\"}]\n", + " )\n", + "\n", + "if len(cases) > 0 and \"submitter_id\" in cases[0]:\n", + " case_ids = [i['submitter_id'] for i in cases] ## make a list of the case (patient) IDs returned\n", + " print(\"Query returned {} case IDs.\".format(len(cases)))\n", + " print(\"Data is a list with rows like this:\\n\\t {}\".format(cases[0:1]))\n", + "else:\n", + " print(\"Your query returned no data! Please, check that query parameters are valid.\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9e761b59", + "metadata": {}, + "outputs": [], + "source": [ + "## Look at one record returned by the query\n", + "# Note: the \"object_id\" field is a list of all file identifiers associated with the case\n", + "cases[0]" + ] + }, + { + "cell_type": "markdown", + "id": "ef11c21d", + "metadata": {}, + "source": [ + "## 3) Send another query to get data file details for our cohort / case ID\n", + "---\n", + "The object_id field in each case record above contains the file identifiers for all files associated with each case. If we simply want to access all files associated with our list of cases, we can use those object_ids. However, in this example, we'll ask for specific types of files and get more detailed information about each of the files. This is achieved by querying the \"data_file\" index and adding our cohort (list of case_ids) as a filter. \n", + "\n", + "* Note: all MIDRC data files, including both images and annotations, are listed in the guppy index \"data_file\", which is queried in a similar manner to our query of the \"case\" index above. The query parameter \"data_type\" below determines which Elasticsearch index we're querying." + ] + }, + { + "cell_type": "markdown", + "id": "bae08fb2", + "metadata": {}, + "source": [ + "### Set 'data_file' query parameters\n", + "---\n", + "Here, we'll utilize the property \"source_node\" to filter the list of files for our cohort to only those matching the type of files we're interested in. In this example, we ask for CR and DX images and any associated annotation files.\n", + "\n", + "* Note: We're using the property \"case_ids\" as a filter to restrict the data_file records returned down to those associated with cases in our cohort built above. If you'd like to search for only one specific case_id, you can manually set the case_ids variable like this:\n", + "```\n", + "case_ids = [\"my_case_id\"]\n", + "```\n", + "* Or alternatively, you could set the query filter like this:\n", + "```\n", + "{\"=\": {\"case_ids\": \"my_case_id\"}},\n", + "```\n", + "where \"my_case_id\" is the quoted submitter_id of the case you're searching for." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e844e93f", + "metadata": {}, + "outputs": [], + "source": [ + "source_nodes = [\"cr_series_file\",\"dx_series_file\",\"annotation_file\",\"dicom_annotation_file\"]\n", + "modality = [\"SEG\", \"CR\", \"DX\", ] # this is somewhat redundant with the above source_node filter, but added here for demonstration purposes" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4998295a", + "metadata": {}, + "outputs": [], + "source": [ + "## Search for specific files associated with our cohort by adding \"case_ids\" as a filter\n", + "# * Note: \"fields\" is set to \"None\" in this query, which by default returns all the properties available\n", + "data_files = query.raw_data_download(\n", + " data_type=\"data_file\",\n", + " fields=None,\n", + " filter_object={\n", + " \"AND\": [\n", + " {\"IN\": {\"case_ids\": case_ids}},\n", + " {\"IN\": {\"source_node\": source_nodes}},\n", + " {\"IN\": {\"modality\": modality}},\n", + " ]\n", + " },\n", + " sort_fields=[{\"submitter_id\": \"asc\"}]\n", + " )\n", + "\n", + "if len(data_files) > 0:\n", + " object_ids = [i['object_id'] for i in data_files if 'object_id' in i] ## make a list of the file object_ids returned by our query\n", + " print(\"Query returned {} data files with {} object_ids.\".format(len(data_files),len(object_ids)))\n", + " print(\"Data is a list with rows like this:\\n\\t {}\".format(data_files[0:1]))\n", + "else:\n", + " print(\"Your query returned no data! Please, check that query parameters are valid.\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "729ffdc9", + "metadata": {}, + "outputs": [], + "source": [ + "## View the detailed data for the first file returned\n", + "data_files[0]" + ] + }, + { + "cell_type": "markdown", + "id": "4e3d5b61", + "metadata": {}, + "source": [ + "## 4) Access data files using their object_id / data GUID (globally unique identifiers)\n", + "---\n", + "In order to download files stored in MIDRC, users need to reference the file's object_id (AKA data GUID or Globally Unique IDentifier).\n", + "\n", + "Once we have a list of GUIDs we want to download, we can use either the gen3-client or the gen3 SDK to download the files. You can also access individual files in your browser after logging-in and entering the GUID after the `files/` endpoint, as in this URL: https://data.midrc.org/files/GUID\n", + "\n", + "where GUID is the actual GUID, e.g.: https://data.midrc.org/files/dg.MD1R/b87d0db3-d95a-43c7-ace1-ab2c130e04ec\n", + "\n", + "For instructions on how to install and use the gen3-client, please see [the MIDRC quick-start guide](https://data.midrc.org/dashboard/Public/documentation/Gen3_MIDRC_GetStarted.pdf), which can be found linked here and in the MIDRC data portal header as \"Get Started\".\n", + "\n", + "Below we use the gen3 SDK command `gen3 drs-pull object` which is [documented in detail here](https://github.com/uc-cdis/gen3sdk-python/blob/master/docs/howto/drsDownloading.md)." + ] + }, + { + "cell_type": "markdown", + "id": "cb606c8a", + "metadata": {}, + "source": [ + "### Parse the data_file query response to build a list of all `object_id`s returned for our cohort. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2f26a9a1", + "metadata": {}, + "outputs": [], + "source": [ + "## Build a list \n", + "object_ids = []\n", + "for data_file in data_files:\n", + " if 'object_id' in data_file:\n", + " object_id = data_file['object_id']\n", + " object_ids.append(object_id)\n", + "\n", + "object_id = object_ids[1]\n", + "print(\"The first object_id of {}: '{}'\".format(len(object_ids),object_id))" + ] + }, + { + "cell_type": "markdown", + "id": "a167eb79", + "metadata": {}, + "source": [ + "### Use the Gen3 SDK command `gen3 drs-pull object` to download an individual file" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "35853bf9-647e-401f-b068-fe9e75e3d43a", + "metadata": {}, + "outputs": [], + "source": [ + "## Make a new directory for downloaded files\n", + "os.system(\"mkdir -p downloads\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b5b0ae28-5d80-4d11-a9f0-94ae51391814", + "metadata": {}, + "outputs": [], + "source": [ + "## Run the \"gen3 drs-pull object\" command to download a file\n", + "cmd = \"gen3 --auth {} --endpoint data.midrc.org drs-pull object {} --output-dir downloads\".format(cred,object_id)\n", + "os.system(cmd)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2b7a8ee3", + "metadata": {}, + "outputs": [], + "source": [ + "!find downloads -name \"*dcm\"" + ] + }, + { + "cell_type": "markdown", + "id": "be1fe191", + "metadata": {}, + "source": [ + "### Use a simple loop to download all the files" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "161771f4", + "metadata": {}, + "outputs": [], + "source": [ + "## Simple loop to download all files and keep track of success and failures\n", + "cred = \"/Users/christopher/Downloads/midrc-credentials.json\" # location of your MIDRC credentials, downloaded from https://data.midrc.org/identity by clicking \"Create API key\" button and saving the credentials.json locally\n", + "success,failure,other=[],[],[]\n", + "count,total = 0,len(object_ids)\n", + "for object_id in object_ids:\n", + " count+=1\n", + " cmd = \"gen3 --auth {} --endpoint data.midrc.org drs-pull object {} --output-dir downloads\".format(cred,object_id)\n", + " stout = subprocess.run(cmd, shell=True, capture_output=True)\n", + " print(\"Progress ({}/{}): {}\".format(count,total,stout.stdout))\n", + " if \"failed\" in str(stout.stdout):\n", + " failure.append(object_id)\n", + " elif \"successfully\" in str(stout.stdout):\n", + " success.append(object_id)\n", + " else:\n", + " other.append(object_id)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "13281b5d", + "metadata": {}, + "outputs": [], + "source": [ + "!find downloads -name \"*.dcm\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9f5f2d94", + "metadata": {}, + "outputs": [], + "source": [ + "!find downloads -name \"*.dcm\" | wc -l" + ] + }, + { + "cell_type": "markdown", + "id": "544761e9", + "metadata": {}, + "source": [ + "## The End\n", + "---\n", + "If you have any questions related to this notebook don't hesitate to reach out to the MIDRC Helpdesk at midrc-support@datacommons.io or the author directly at cgmeyer@uchicago.edu\n", + "\n", + "Happy data wrangling!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f6691638", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.0" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/jupyter-midrc/combined_demos/Cases_with_Multiple_Modalities.ipynb b/jupyter-midrc/combined_demos/Cases_with_Multiple_Modalities.ipynb new file mode 100644 index 00000000..df16497f --- /dev/null +++ b/jupyter-midrc/combined_demos/Cases_with_Multiple_Modalities.ipynb @@ -0,0 +1,511 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "e61ca787-fee9-4443-a92a-7961407fe94b", + "metadata": {}, + "source": [ + "# Select patients with multiple imaging studies of different modalities\n", + "---\n", + "This notebook briefly demonstrates how to use the MIDRC open APIs to build a cohort of MIDRC patients that have multiple imaging studies of different modalities.\n", + "\n", + "by Chris Meyer, PhD\n", + "\n", + "Manager of Data and User Services at the Center for Translational Data Science at University of Chicago\n", + "\n", + "Last updated: April 2024\n", + "\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "f4a355ce-9d99-4fb6-91fb-1a06d77a217c", + "metadata": {}, + "source": [ + "## 1) Set up Python environment\n", + "---\n" + ] + }, + { + "cell_type": "markdown", + "id": "c0235e49-d5d6-416d-90ab-916142ec164f", + "metadata": {}, + "source": [ + "### Download an API key file containing your credentials\n", + "---\n", + "1) Navigate to the MIDRC data portal in your browser: https://data.midrc.org.\n", + "2) Read and accept the DUA (if you haven't already).\n", + "3) Navigate to the user profile page: https://data.midrc.org/identity\n", + "4) Click on the button \"Create API Key\" and save the `credentials.json` file somewhere safe\n" + ] + }, + { + "cell_type": "markdown", + "id": "07fe3a97-2ec5-4609-ac3f-4530de31814a", + "metadata": {}, + "source": [ + "### Set local variables\n", + "---\n", + "Change the following `cred` variable path to point to your credentials file downloaded from the MIDRC data portal following the instructions above." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "59992d50-8afc-4d4c-870f-25e1b3592180", + "metadata": {}, + "outputs": [], + "source": [ + "cred = \"/Users/christopher/Downloads/midrc-credentials.json\" # location of your MIDRC credentials, downloaded from https://data.midrc.org/identity by clicking \"Create API key\" button and saving the credentials.json locally\n", + "api = \"https://data.midrc.org\" # The base URL of the data commons being queried. This shouldn't change for MIDRC.\n" + ] + }, + { + "cell_type": "markdown", + "id": "997a7aea-9761-4966-9b12-4dc391f567f0", + "metadata": {}, + "source": [ + "### Install / Import Python Packages and Scripts" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9e2111b0-3828-4c7e-9df0-05dd253a02c3", + "metadata": {}, + "outputs": [], + "source": [ + "## The packages below may be necessary for users to install according to the imports necessary in the subsequent cells.\n", + "\n", + "import sys\n", + "#!{sys.executable} -m pip install\n", + "#!{sys.executable} -m pip install --upgrade pandas\n", + "#!{sys.executable} -m pip install --upgrade --ignore-installed PyYAML\n", + "#!{sys.executable} -m pip install --upgrade pip\n", + "#!{sys.executable} -m pip install --upgrade gen3\n", + "#!{sys.executable} -m pip install pydicom\n", + "#!{sys.executable} -m pip install --upgrade Pillow\n", + "#!{sys.executable} -m pip install psmpy\n", + "#!{sys.executable} -m pip install python-gdcm --upgrade\n", + "#!{sys.executable} -m pip install IPython", + "#!{sys.executable} -m pip install pylibjpeg --upgrade" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0843c5b8-0379-4440-a651-ce417e06a701", + "metadata": {}, + "outputs": [], + "source": [ + "## Import Python Packages and scripts\n", + "\n", + "import os, subprocess\n", + "import pandas as pd\n", + "#import numpy as np\n", + "#import pydicom\n", + "\n", + "# import some Gen3 packages\n", + "import gen3\n", + "from gen3.auth import Gen3Auth\n", + "from gen3.query import Gen3Query\n", + "from IPython.display import display", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "7fce03c2-e84d-4211-b41d-f44717ae05b5", + "metadata": {}, + "source": [ + "### Initiate instances of the Gen3 SDK Classes using credentials file for authentication\n", + "---\n", + "Make sure the \"cred\" variable reflects the location of your credentials file." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "165dae3d-8c46-4c4f-9bb1-ffd2e0e8c963", + "metadata": {}, + "outputs": [], + "source": [ + "auth = Gen3Auth(api, refresh_file=cred) # authentication class\n", + "query = Gen3Query(auth) # query class\n" + ] + }, + { + "cell_type": "markdown", + "id": "a329f502-d824-482b-a1a0-76a200ca6093", + "metadata": {}, + "source": [ + "## 2) Build Cohorts by Sending Queries to the MIDRC APIs\n", + "#### General notes on sending queries:\n", + "* There are many ways to query and access metadata for cohort building in MIDRC, but this notebook will focus on using the [Gen3](https://gen3.org) graphQL query service [\"guppy\"](https://github.com/uc-cdis/guppy/#readme). This is the backend query service that [MIDRC's data explorer GUI](https://data.midrc.org/explorer) uses. So, anything you can do in the explorer GUI, you can do with guppy queries, and more!\n", + "* The guppy graphQL service has more functionality than is demonstrated in this simple example. You can find extensive documentation in GitHub [here](https://github.com/uc-cdis/guppy/blob/master/doc/queries.md) in case you'd like to build your own queries from scratch.\n", + "* The Gen3 SDK (intialized as `query` above in this notebook) has Python wrapper scripts to make sending queries to the guppy graphQL API simpler. The guppy SDK package can be viewed in GitHub [here](https://github.com/uc-cdis/gen3sdk-python/blob/master/gen3/query.py).\n", + "* Guppy queries focus on a particular type of data (cases, imaging studies, files, etc.), which corresponds to the major tabs in [MIDRC's data explorer GUI](https://data.midrc.org/explorer).\n", + "* Queries include arguments that are akin to selecting filter values in [MIDRC's data explorer GUI](https://data.midrc.org/explorer).\n", + "* To see more documentation about how to use and combine filters with various operator logic (like AND/OR/IN, etc.) see [this page](https://github.com/uc-cdis/guppy/blob/master/doc/queries.md#filter).\n", + "\n", + "---\n" + ] + }, + { + "cell_type": "markdown", + "id": "35a82d76-7de3-4fa6-b5a0-d4ec425484f5", + "metadata": {}, + "source": [ + "#### Set query parameters\n", + "---\n", + "* Here, we'll send a query to the `case` guppy index, which corresponds to the \"Cases\" tab of [MIDRC's data explorer GUI](https://data.midrc.org/explorer).\n", + "* The filters defined below can be modified to return different subsets of cases. Here, we'll select cases that have at least one Chest CT and at least one Chest X-ray (CXR).\n", + "* If our query request is successful, the API response should be in JSON format, and it should contain a list of patient IDs along with any other patient data we ask for.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d0e36c9a-4694-40f6-ab64-2170dd7266a5", + "metadata": {}, + "outputs": [], + "source": [ + "### Set some \"imaging_study\" query parameters\n", + "\n", + "## Imaging study modality filter: we want imaging studies with at least one CT and one CR or DX\n", + "modality_1 = [\"DX\", \"CR\"]\n", + "modality_2 = [\"CT\"]\n", + "\n", + "## Imaging study body part filter: here we select \"chest\" as the \"LOINC system\" filter, which is the body part examined\n", + "body_part_examined = \"Chest\"\n", + "\n", + "## The fields we want our query to return; \n", + "## Note: you can set fields to \"None\" to return all fields with the query in the cell below\n", + "fields = [\"project_id\",\n", + " \"submitter_id\",\n", + " \"imaging_studies.loinc_system\",\n", + " \"imaging_studies.study_uid\",\n", + " \"imaging_studies.study_modality\",\n", + " \"_imaging_studies_count\",\n", + " \"_cr_series_file_count\",\n", + " \"_dx_series_file_count\",\n", + " \"_ct_series_file_count\"]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b0245245-eba0-4614-bbcb-5fc4ede5de1a", + "metadata": {}, + "outputs": [], + "source": [ + "## Note: the \"fields\" option defines what fields we want the query to return. If set to \"None\", returns all available fields.\n", + "\n", + "cases = query.raw_data_download(\n", + " data_type=\"case\",\n", + " #fields=None,\n", + " fields=fields,\n", + " filter_object={\n", + " \"AND\": [\n", + " {\"nested\":{\"path\":\"imaging_studies\",\n", + " \"=\": {\"loinc_system\": body_part_examined}}},\n", + " {\"nested\":{\"path\":\"imaging_studies\",\n", + " \"IN\":{\"study_modality\":modality_1}}},\n", + " {\"nested\":{\"path\":\"imaging_studies\",\n", + " \"IN\":{\"study_modality\":modality_2}}}\n", + " ],\n", + " },\n", + " sort_fields=[{\"submitter_id\": \"asc\"}]\n", + " )\n", + "\n", + "if len(cases) > 0 and \"submitter_id\" in cases[0]:\n", + " case_ids = [i['submitter_id'] for i in cases] ## make a list of the imaging study IDs returned\n", + " print(\"Query returned {} cases with data for each that looks like this:\\n\\t\".format(len(cases)))\n", + " display(cases[0:1])\n", + "else:\n", + " print(\"Your query returned no data! Please, check that query parameters are valid.\")" + ] + }, + { + "cell_type": "markdown", + "id": "8a6b0d4c-b304-4e00-8477-1b860dc05767", + "metadata": {}, + "source": [ + "### Filter Query Results for only the desired imaging studies\n", + "---\n", + "Our query has returned all cases that have at least one imaging study of the Chest, and have at least one CXR and one CT. However, those cases may have imaging studies of other modalities or body parts we're not interested in. \n", + "\n", + "So, next we'll filter the query results to obtain only imaging studies that are both of the Chest and of modality CT, CR, or DX, thus excluding studies of other body parts or modalities." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ffa5c794-370f-47fe-bf64-008f6485b80f", + "metadata": {}, + "outputs": [], + "source": [ + "## Get only the imaging studies for Chest CT and Chest X-rays so we can build a file download manifest\n", + "desired_studies = {i['submitter_id']:[j for j in i['imaging_studies'] if (j['study_modality'][0] in modality_1+modality_2 and 'loinc_system' in j and 'Chest' in j['loinc_system'])] for i in cases}\n", + "list(desired_studies.items())[0]" + ] + }, + { + "cell_type": "markdown", + "id": "eab0bdd9-41b3-4a08-b3ed-3418d0b9d236", + "metadata": {}, + "source": [ + "\n", + "## 3) Send another query to get data file details for our cohort / case ID\n", + "---\n", + "Now that we have a list of imaging studies we're interested in from our original cohort of cases, we can run another query to get the `object_id` of each of the imaging series files related to those imaging studies. This is achieved by querying the `data_file` guppy index, which corresponds to the \"Data Files\" tab of the MIDRC data explorer GUID. \n", + "\n", + "All MIDRC data files, including both images and annotations, are listed in the guppy index `data_file`, which is queried in a similar manner to our query of the `imaging_study` index above. The query parameter `data_type` below determines which guppy (Elasticsearch) index we're querying.\n", + "\n", + "To get only `data_file` records that correspond to our imaging study cohort built previously, we'll use the list of study UIDs as a query filter. \n" + ] + }, + { + "cell_type": "markdown", + "id": "57bd0e57-9909-4f37-a65a-c43c31cb1137", + "metadata": {}, + "source": [ + "### Set 'data_file' query parameters\n", + "---\n", + "Here, we'll utilize the property `source_node` to filter the list of files for our cohort to only those matching the type of files we're interested in. In this example, we ask only for CR, DX, and CT images, which will exclude any other types of files related to our desired imaging studies like annotations or supplemental files.\n", + "\n", + "We're also using the property `study_uid` as a filter to restrict the `data_file` records returned down to those associated with the imaging studies in our cohort built above. \n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4b1736d5-ba41-4a59-a3d9-d10ee7142e8d", + "metadata": {}, + "outputs": [], + "source": [ + "## We only want CR, DX, and CT imaging series files, so we can use the \"source_node\" to filter out other types of data files\n", + "source_nodes = ['cr_series_file', 'dx_series_file', 'ct_series_file']\n", + "\n", + "# Build a list of study UIDs to use as a filter in our data_file query\n", + "all_study_uids = []\n", + "for case_id in desired_studies:\n", + " studies = desired_studies[case_id]\n", + " study_uids = [i['study_uid'] for i in studies]\n", + " all_study_uids += study_uids\n", + "\n", + "display(len(list(set(all_study_uids))))\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4acbeaf2-3e05-4909-8675-fb87084cfbc0", + "metadata": {}, + "outputs": [], + "source": [ + "## Search for specific files associated with our cohort by adding \"study_uid\" as a filter\n", + "# * Note: \"fields\" is set to \"None\" in this query, which by default returns all the properties available\n", + "data_files = query.raw_data_download(\n", + " data_type=\"data_file\",\n", + " fields=None,\n", + " filter_object={\n", + " \"AND\": [\n", + " {\"IN\": {\"study_uid\": all_study_uids}},\n", + " {\"IN\": {\"source_node\": source_nodes}},\n", + " ]\n", + " },\n", + " sort_fields=[{\"submitter_id\": \"asc\"}]\n", + " )\n", + "\n", + "if len(data_files) > 0:\n", + " object_ids = [i['object_id'] for i in data_files if 'object_id' in i] ## make a list of the file object_ids returned by our query\n", + " print(\"Query returned {} data files with {} object_ids.\".format(len(data_files),len(object_ids)))\n", + " print(\"Data is a list with rows like this:\\n\\t {}\".format(data_files[0:1]))\n", + "else:\n", + " print(\"Your query returned no data! Please, check that query parameters are valid.\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d469fcf7-262c-492a-9ec8-18560e16b5dc", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "4507caee-bbb7-49b4-9697-9ccb33909869", + "metadata": {}, + "source": [ + "## 4) Access data files using their object_id / data GUID (globally unique identifiers)\n", + "---\n", + "In order to download files stored in MIDRC, users need to reference the file's object_id (AKA data GUID or Globally Unique IDentifier).\n", + "\n", + "Once we have a list of GUIDs we want to download, we can use either the gen3-client or the gen3 SDK to download the files. You can also access individual files in your browser after logging-in and entering the GUID after the `files/` endpoint, as in this URL: https://data.midrc.org/files/GUID\n", + "\n", + "where GUID is the actual GUID, e.g.: https://data.midrc.org/files/dg.MD1R/b87d0db3-d95a-43c7-ace1-ab2c130e04ec\n", + "\n", + "For instructions on how to install and use the gen3-client, please see [the MIDRC quick-start guide](https://data.midrc.org/dashboard/Public/documentation/Gen3_MIDRC_GetStarted.pdf), which can be found linked here and in the MIDRC data portal header as \"Get Started\".\n", + "\n", + "Below we use the gen3 SDK command `gen3 drs-pull object` which is [documented in detail here](https://github.com/uc-cdis/gen3sdk-python/blob/master/docs/howto/drsDownloading.md)." + ] + }, + { + "cell_type": "markdown", + "id": "15099fd9-cbb1-4dc6-a2e5-dd9d6e0522a6", + "metadata": {}, + "source": [ + "### Use the Gen3 SDK command `gen3 drs-pull object` to download an individual file" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bb91c943-ae41-4d82-977b-dbdd4f31cf21", + "metadata": {}, + "outputs": [], + "source": [ + "## Make a new directory for downloaded files\n", + "#os.system(\"rm -r downloads\")\n", + "os.system(\"mkdir -p downloads\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "29c5e4c4-828d-47b5-97d9-d482993202d0", + "metadata": {}, + "outputs": [], + "source": [ + "## We can use a simple loop to download all files and keep track of successes and failures\n", + "\n", + "success,failure,other=[],[],[]\n", + "count,total = 0,len(object_ids)\n", + "for object_id in object_ids:\n", + " count+=1\n", + " cmd = \"gen3 --auth {} --endpoint data.midrc.org drs-pull object {} --output-dir downloads\".format(cred,object_id)\n", + " stout = subprocess.run(cmd, shell=True, capture_output=True)\n", + " print(\"Progress ({}/{}): {}\".format(count,total,stout.stdout))\n", + " if \"failed\" in str(stout.stdout):\n", + " failure.append(object_id)\n", + " elif \"successfully\" in str(stout.stdout):\n", + " success.append(object_id)\n", + " else:\n", + " other.append(object_id)\n" + ] + }, + { + "cell_type": "markdown", + "id": "bdb2b636-de31-4064-9fa7-d74f4bd1ca2e", + "metadata": {}, + "source": [ + "### Export a Gen3 file download \"manifest\"\n", + "---\n", + "The following script generates a Gen3-style data file download manifest JSON file. \n", + "\n", + "This `manifest.json` file can be used In case you want to use the gen3-client command-line tool or the `gen3 drs-pull manifest` command shown below.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ade7f10e-890d-4c03-a0aa-28dcb4ff1966", + "metadata": {}, + "outputs": [], + "source": [ + "## Export a Gen3 file download \"manifest\" JSON file to use with the gen3-client command-line tool or the `gen3 drs-pull manifest` command.\n", + "\n", + "def write_manifest(guids, filename):\n", + "\n", + " with open(filename, \"w\") as mani:\n", + "\n", + " mani.write(\"[\\n {\\n\")\n", + "\n", + " count = 0\n", + " for guid in guids:\n", + " count += 1\n", + " file_line = ' \"object_id\": \"{}\"\\n'.format(guid)\n", + " mani.write(file_line)\n", + " if count == len(guids):\n", + " mani.write(\" }]\")\n", + " else:\n", + " mani.write(\" },\\n {\\n\")\n", + "\n", + " print(\"\\tDone ({}/{}).\".format(count, len(guids)))\n", + " print(\"\\tManifest written to file: {}\".format(filename))\n", + " return filename\n", + "\n", + "manifest_filename = \"multimodal_cases_files_manifest.json\"\n", + "write_manifest(guids=object_ids,filename=manifest_filename)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "19024e44-5aa4-49c5-9100-8275af278ad9", + "metadata": {}, + "outputs": [], + "source": [ + "ll" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "48edd42a-22d6-4798-8300-c5bf396b28a7", + "metadata": {}, + "outputs": [], + "source": [ + "cmd = \"gen3 --auth {} --endpoint data.midrc.org drs-pull manifest {}\".format(cred,manifest_filename)\n", + "print(cmd)\n", + "#stout = subprocess.run(cmd, shell=True, capture_output=True)\n", + "# This command is better run in the terminal so you can watch progress bar. Running in the notebook may take quite some time." + ] + }, + { + "cell_type": "markdown", + "id": "544761e9", + "metadata": {}, + "source": [ + "## The End\n", + "---\n", + "If you have any questions related to this notebook don't hesitate to reach out to the MIDRC Helpdesk at midrc-support@datacommons.io or the author directly at cgmeyer@uchicago.edu\n", + "\n", + "Happy data wrangling!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ef0d9146-12ae-4318-8dbf-4410910763fc", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.0" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/jupyter-midrc/combined_demos/Chest_CT_Images_for_Cohort.ipynb b/jupyter-midrc/combined_demos/Chest_CT_Images_for_Cohort.ipynb new file mode 100644 index 00000000..bca086ff --- /dev/null +++ b/jupyter-midrc/combined_demos/Chest_CT_Images_for_Cohort.ipynb @@ -0,0 +1,434 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "d8ef63c3", + "metadata": {}, + "source": [ + "# How to Build a Patient Cohort and Access All Chest CT Images\n", + "---\n", + "by Chris Meyer, PhD\n", + "\n", + "Manager of Data and User Services at the Center for Translational Data Science at University of Chicago\n", + "\n", + "August 2023\n", + "\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "5db7f87c", + "metadata": {}, + "source": [ + "## Introduction\n", + "---\n", + "* This notebook demonstrates how to build a cohort of MIDRC patients based on clinical and demographic data and then access all Chest CT scans and any related annotations.\n" + ] + }, + { + "cell_type": "markdown", + "id": "5b18d84f", + "metadata": {}, + "source": [ + "### Set local variables\n", + "---\n", + "Change the following directory paths to a valid working directories where you're running this notebook." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5a5e19b5", + "metadata": {}, + "outputs": [], + "source": [ + "cred = \"/Users/christopher/Downloads/midrc-credentials.json\" # location of your MIDRC credentials, downloaded from https://data.midrc.org/identity by clicking \"Create API key\" button and saving the credentials.json locally\n", + "api = \"https://data.midrc.org\" # The base URL of the data commons being queried. This shouldn't change for MIDRC.\n" + ] + }, + { + "cell_type": "markdown", + "id": "6aaf5d3e", + "metadata": {}, + "source": [ + "### Install / Import Python Packages and Scripts" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8e1a7935", + "metadata": {}, + "outputs": [], + "source": [ + "## The packages below may be necessary for users to install according to the imports necessary in the subsequent cells.\n", + "\n", + "#!pip install --upgrade pandas\n", + "#!pip install --upgrade --ignore-installed PyYAML\n", + "#!pip install --upgrade pip\n", + "#!pip install --upgrade gen3\n", + "#!pip install pydicom" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7ea2fa09", + "metadata": {}, + "outputs": [], + "source": [ + "## Import Python Packages and scripts\n", + "import sys, os, subprocess\n", + "import gen3\n", + "\n", + "from gen3.auth import Gen3Auth # authentication SDK class\n", + "from gen3.query import Gen3Query # query SDK class\n" + ] + }, + { + "cell_type": "markdown", + "id": "b1784bcb", + "metadata": {}, + "source": [ + "### Initiate instances of the Gen3 SDK Classes using credentials file for authentication\n", + "---\n", + "Again, make sure the \"cred\" directory path variable reflects the location of your credentials file (path variables set above)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d316dcdf", + "metadata": {}, + "outputs": [], + "source": [ + "auth = Gen3Auth(api, refresh_file=cred) # authentication class\n", + "query = Gen3Query(auth) # query class\n" + ] + }, + { + "cell_type": "markdown", + "id": "85fc475d", + "metadata": {}, + "source": [ + "## Build a Cohort of Cases by Running Queries Against MIDRC APIs\n", + "---\n", + "* There are many ways to query and access metadata for cohort building in MIDRC, but this notebook will focus on using the [Gen3](https://gen3.org) graphQL query service [\"guppy\"](https://github.com/uc-cdis/guppy/#readme). This is the backend query service that [MIDRC's data explorer GUI](https://data.midrc.org/explorer) uses. So, anything you can do in the explorer GUI, you can do with guppy queries, and more!\n", + "* The guppy graphQL service has extensive documentation in GitHub [here](https://github.com/uc-cdis/guppy/blob/master/doc/queries.md) in case you'd like to build your own queries from scratch.\n", + "* The Gen3Query SDK class (intialized as the variable \"query\" above in this notebook) has Python wrapper scripts to make sending queries to the guppy graphQL API simpler. The guppy SDK package can be viewed in GitHub [here](https://github.com/uc-cdis/gen3sdk-python/blob/master/gen3/query.py).\n" + ] + }, + { + "cell_type": "markdown", + "id": "f3045ba4", + "metadata": {}, + "source": [ + "### Query Parameters\n", + "---\n", + "* Below, we first set some query parameters. Feel free to modify these parameters to see how it changes the query response. Setting these patient attributes is akin to selecting a filter value in [MIDRC's data explorer GUI](https://data.midrc.org/explorer). \n", + " * To see more documentation about to use and combine filters with various operator logic (like AND/OR/IN, etc.) see [this page](https://github.com/uc-cdis/guppy/blob/master/doc/queries.md#filter).\n", + "* We then send our query to MIDRC's guppy API endpoint using [the Gen3Query SDK package](https://github.com/uc-cdis/gen3sdk-python/blob/master/gen3/query.py) we initialized earlier. \n", + "* If our query request is successful, the API response should be in JSON format, and it should contain a list of patient IDs along with any other patient data we ask for." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "86e01ee4", + "metadata": {}, + "outputs": [], + "source": [ + "## \"case\" query parameters\n", + "## In this example, we're going to filter our patient cohort by asking for:\n", + "# female Asian patients in an age range that tested positive for COVID-19.\n", + "\n", + "# demographic attributes / filters\n", + "race = \"Asian\"\n", + "sex = \"Female\"\n", + "min_age = 79\n", + "max_age = 89\n", + "\n", + "# clinical attributes / filters\n", + "covid19_positive = \"True\"\n", + "\n", + "# fields to return. \n", + "fields = [\"submitter_id\", # \"submitter_id\" here is the case/patient's unique identifier in the database\n", + " \"project_id\" # this is the \"project\" that the patient belongs to. by default, queries run across all projects\n", + "]\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8f9cd402", + "metadata": {}, + "outputs": [], + "source": [ + "## Run the query using the guppy graphQL service\n", + "\n", + "data = query.raw_data_download(\n", + " data_type=\"case\",\n", + " fields=fields,\n", + " filter_object={\n", + " \"AND\": [\n", + " {\"=\": {\"race\": race}},\n", + " {\"=\": {\"sex\": sex}},\n", + " {\">=\": {\"age_at_index\": min_age}},\n", + " {\"<=\": {\"age_at_index\": max_age}},\n", + " ]\n", + " },\n", + " sort_fields=[{\"submitter_id\": \"asc\"}]\n", + " )\n", + "\n", + "if len(data) > 0 and \"submitter_id\" in data[0]:\n", + " case_ids = [i['submitter_id'] for i in data] ## make a list of the case (patient) IDs returned\n", + " print(\"Query returned {} case IDs.\".format(len(data)))\n", + " print(\"Data is a list with rows like this:\\n\\t {}\".format(data[0:1]))\n", + "else:\n", + " print(\"Your query returned no data! Please, check that query parameters are valid.\")" + ] + }, + { + "cell_type": "markdown", + "id": "c417262b", + "metadata": {}, + "source": [ + "### Send another query to get data files\n", + "---\n", + "All MIDRC data files that can be downloaded, including both images and annotations, are listed in the guppy index \"data_file\", which can be queried similar to our query of the \"case\" index above.\n", + "\n", + "* Note: We're going to use the property \"case_ids\" as a filter to restrict the data_file records returned down to those associated with cases in our cohort built above.\n", + "```\n", + " {\"IN\": {\"case_ids\": case_ids}},\n", + "```\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d025f1f4", + "metadata": {}, + "outputs": [], + "source": [ + "## \"data_file\" query parameters\n", + "## In this example, we're asking for files from CT imaging studies of the chest\n", + "\n", + "# imaging_study attributes / filters\n", + "source_node = \"ct_series_file\" # this will limit the files returned to those that are CT series\n", + "loinc_system = \"Chest\" # this is the LOINC-harmonized \"body part examined\" in the imaging study\n", + "\n", + "# fields to return. \n", + "fields = [\n", + " \"project_id\", # this is the \"project\" that the file belongs to. by default, queries run across all projects\n", + " \"case_ids\", # this is the \"submitter_id\" of the patient the file is associated with (the patient ID)\n", + " \"object_id\", # this is the unique identifier (GUID) for a file in MIDRC which can be used to access/download the file\n", + " \"source_node\", # this is the name of the node in the MIDRC data model under which the file is stored\n", + " \"file_name\",\n", + " \"file_size\"\n", + "]\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f061bd40", + "metadata": {}, + "outputs": [], + "source": [ + "# note that the field \"data_type\" here has changed from \"case\" (example above) to \"data_file\". This is the name of the Elasticsearch index\n", + "data = query.raw_data_download(\n", + " data_type=\"data_file\",\n", + " fields=fields,\n", + " filter_object={\n", + " \"AND\": [\n", + " {\"=\": {\"source_node\": source_node}},\n", + " {\"=\": {\"loinc_system\": loinc_system}},\n", + " {\"IN\": {\"case_ids\": case_ids}},\n", + " ]\n", + " },\n", + " sort_fields=[{\"submitter_id\": \"asc\"}]\n", + " )\n", + "\n", + "if len(data) > 0 and \"object_id\" in data[0]:\n", + " object_ids = [i['object_id'] for i in data] ## make a list of the file object_ids returned by our query\n", + " print(\"Query returned {} data files with {} object_ids.\".format(len(data),len(object_ids)))\n", + " print(\"Data is a list with rows like this:\\n\\t {}\".format(data[0:1]))\n", + "else:\n", + " print(\"Your query returned no data! Please, check that query parameters are valid.\")" + ] + }, + { + "cell_type": "markdown", + "id": "14db3f95-25c6-4772-a5c8-fe443687c5c9", + "metadata": {}, + "source": [ + "### In this next example, we want both CT scans *and* any associated annotation files in our object_id list\n", + "---\n", + "To add other types of files to the query, we simply make `source_nodes` a list of node IDs.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "56f5bba4", + "metadata": {}, + "outputs": [], + "source": [ + "source_nodes = [\"ct_series_file\", \"annotation_file\",\"dicom_annotation_file\"]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "62a7d14d", + "metadata": {}, + "outputs": [], + "source": [ + "# note that the field \"data_type\" here has changed from \"case\" (example above) to \"data_file\". This is the name of the Elasticsearch index\n", + "data = query.raw_data_download(\n", + " data_type=\"data_file\",\n", + " fields=fields,\n", + " filter_object={\n", + " \"AND\": [\n", + " {\"in\": {\"source_node\": source_nodes}},\n", + " {\"=\": {\"loinc_system\": loinc_system}},\n", + " {\"IN\": {\"case_ids\": case_ids}},\n", + " ]\n", + " },\n", + " sort_fields=[{\"submitter_id\": \"asc\"}]\n", + " )\n", + "\n", + "if len(data) > 0:\n", + " object_ids = [i['object_id'] for i in data if 'object_id' in i] ## make a list of the file object_ids returned by our query\n", + " print(\"Query returned {} data files with {} object_ids.\".format(len(data),len(object_ids)))\n", + " print(\"Data is a list with rows like this:\\n\\t {}\".format(data[0:1]))\n", + "else:\n", + " print(\"Your query returned no data! Please, check that query parameters are valid.\")" + ] + }, + { + "cell_type": "markdown", + "id": "4061b81b-083c-46bb-b7ba-adda95a3b61b", + "metadata": {}, + "source": [ + "## 4) Access data files using their object_id / data GUID (globally unique identifiers)\n", + "---\n", + "In order to download files stored in MIDRC, users need to reference the file's object_id (AKA data GUID or Globally Unique IDentifier).\n", + "\n", + "Once we have a list of GUIDs we want to download, we can use the gen3 SDK to download the files.\n", + "\n", + "Below we use the gen3 SDK command `gen3 drs-pull object` which is [documented in detail here](https://github.com/uc-cdis/gen3sdk-python/blob/master/docs/howto/drsDownloading.md)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5d6bfc84", + "metadata": {}, + "outputs": [], + "source": [ + "## Make a new directory for downloaded files\n", + "os.system(\"mkdir -p downloads\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ccafa103", + "metadata": {}, + "outputs": [], + "source": [ + "## Run the \"gen3 drs-pull object\" command to download one of the files\n", + "object_id = object_ids[0]\n", + "cmd = \"gen3 --auth {} --endpoint data.midrc.org drs-pull object {} --output-dir downloads\".format(cred,object_id)\n", + "os.system(cmd)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1b3fbabc", + "metadata": {}, + "outputs": [], + "source": [ + "ls -l downloads" + ] + }, + { + "cell_type": "markdown", + "id": "aede82ab-b49c-432d-96ce-fc5c624f4b26", + "metadata": {}, + "source": [ + "### To download all the files, use a simple loop over the object_ids in our list\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ab2ad0f2-a294-47a7-ab68-62472d8b0195", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "## Simple loop to download all files and keep track of success and failures\n", + "success,failure,other=[],[],[]\n", + "count,total = 0,len(object_ids)\n", + "for object_id in object_ids:\n", + " count+=1\n", + " cmd = \"gen3 --auth {} --endpoint data.midrc.org drs-pull object {} --output-dir downloads\".format(cred,object_id)\n", + " stout = subprocess.run(cmd, shell=True, capture_output=True)\n", + " print(\"Progress ({}/{}): {}\".format(count,total,stout.stdout))\n", + " if \"failed\" in str(stout.stdout):\n", + " failure.append(object_id)\n", + " elif \"successfully\" in str(stout.stdout):\n", + " success.append(object_id)\n", + " else:\n", + " other.append(object_id)" + ] + }, + { + "cell_type": "markdown", + "id": "c2fc0609-f73b-41c6-a3df-bcf81f428711", + "metadata": {}, + "source": [ + "## The End\n", + "---\n", + "If you have any questions related to this notebook don't hesitate to reach out to the MIDRC Helpdesk at midrc-support@datacommons.io or the author directly at cgmeyer@uchicago.edu\n", + "\n", + "Happy data wrangling!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fb0611c1-4c91-4e28-a9f1-ff54e4ac741e", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.0" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/jupyter-midrc/combined_demos/Cohort_Building_Using_LOINC_Terms.ipynb b/jupyter-midrc/combined_demos/Cohort_Building_Using_LOINC_Terms.ipynb new file mode 100644 index 00000000..910e0a5f --- /dev/null +++ b/jupyter-midrc/combined_demos/Cohort_Building_Using_LOINC_Terms.ipynb @@ -0,0 +1,639 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "d8ef63c3", + "metadata": {}, + "source": [ + "# Cohort Building Using LOINC Terms in the MIDRC Data Commons\n", + "---\n", + "This notebook briefly demonstrates how to use the MIDRC open APIs to build a cohort of MIDRC imaging studies using LOINC properties derived from [MIDRC's LOINC Harmonization process](https://github.com/MIDRC/midrc_dicom_harmonization) using the [LOINC Playbook](https://loinc.org/search/?t=1&s=playbook).\n", + "\n", + "All cohort selection possible in the [MIDRC data explorer UI](https://data.midrc.org/explorer) can also be achieved programmatically using API requests. In this notebook, we'll select a small cohort of imaging studies based on LOINC properties.\n", + "\n", + "by Chris Meyer, PhD\n", + "\n", + "Director of Data Services and Scientific Support at the Center for Translational Data Science at University of Chicago\n", + "\n", + "Presented at the 2024 LOINC Conference on September 20, 2024.\n", + "\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "5db7f87c", + "metadata": {}, + "source": [ + "## 1) Set up Python environment\n", + "---\n" + ] + }, + { + "cell_type": "markdown", + "id": "ffc85bb2-3ed6-4eef-a943-724eef02c41b", + "metadata": {}, + "source": [ + "### Download an API key file containing your credentials\n", + "---\n", + "1) Navigate to the MIDRC data portal in your browser: https://data.midrc.org.\n", + "2) Read and accept the DUA (if you haven't already).\n", + "3) Navigate to the user profile page: https://data.midrc.org/identity\n", + "4) Click on the button \"Create API Key\" and save the `credentials.json` file somewhere safe\n" + ] + }, + { + "cell_type": "markdown", + "id": "1bffd5d4", + "metadata": {}, + "source": [ + "### Set local variables\n", + "---\n", + "Change the following `cred` variable path to point to your credentials file downloaded from the MIDRC data portal following the instructions above." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c3c59c2c", + "metadata": {}, + "outputs": [], + "source": [ + "cred = \"/Users/christopher/Downloads/midrc-credentials.json\" # location of your MIDRC credentials, downloaded from https://data.midrc.org/identity by clicking \"Create API key\" button and saving the credentials.json locally\n", + "api = \"https://data.midrc.org\" # The base URL of the data commons being queried. This shouldn't change for MIDRC.\n" + ] + }, + { + "cell_type": "markdown", + "id": "7962e54c", + "metadata": {}, + "source": [ + "### Install / Import Python Packages and Scripts" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8e1a7935", + "metadata": {}, + "outputs": [], + "source": [ + "## The packages below may be necessary for users to install according to the imports necessary in the subsequent cells.\n", + "\n", + "import sys\n", + "#!{sys.executable} -m pip install\n", + "#!{sys.executable} -m pip install --upgrade pandas\n", + "#!{sys.executable} -m pip install --upgrade --ignore-installed PyYAML\n", + "#!{sys.executable} -m pip install --upgrade pip\n", + "#!{sys.executable} -m pip install --upgrade gen3\n", + "#!{sys.executable} -m pip install pydicom\n", + "#!{sys.executable} -m pip install --upgrade Pillow\n", + "#!{sys.executable} -m pip install psmpy\n", + "#!{sys.executable} -m pip install python-gdcm --upgrade\n", + "#!{sys.executable} -m pip install pylibjpeg --upgrade" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7ea2fa09", + "metadata": {}, + "outputs": [], + "source": [ + "## Import Python Packages and scripts\n", + "\n", + "import os, subprocess\n", + "import pandas as pd\n", + "import numpy as np\n", + "import pydicom\n", + "from PIL import Image\n", + "import glob\n", + "#import gdcm\n", + "#import pylibjpeg\n", + "\n", + "# import some Gen3 packages\n", + "import gen3\n", + "from gen3.auth import Gen3Auth\n", + "from gen3.query import Gen3Query\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "7784ecc9", + "metadata": {}, + "source": [ + "### Initiate instances of the Gen3 SDK Classes using credentials file for authentication\n", + "---\n", + "Again, make sure the \"cred\" directory path variable reflects the location of your credentials file (path variables set above)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d316dcdf", + "metadata": {}, + "outputs": [], + "source": [ + "auth = Gen3Auth(api, refresh_file=cred) # authentication class\n", + "query = Gen3Query(auth) # query class\n" + ] + }, + { + "cell_type": "markdown", + "id": "2ea96784-3370-46a6-a2c7-edda947bfa8f", + "metadata": {}, + "source": [ + "## 2) Build Cohorts by Sending Queries to the MIDRC Search APIs\n", + "#### General notes on sending queries:\n", + "* There are many ways to query and access metadata for cohort building in MIDRC, but this notebook will focus on using the [Gen3](https://gen3.org) graphQL query service [\"guppy\"](https://github.com/uc-cdis/guppy/#readme). This is the backend query service that [MIDRC's data explorer GUI](https://data.midrc.org/explorer) uses. So, anything you can do in the explorer GUI, you can do with guppy queries, and more!\n", + "* The guppy graphQL service has more functionality than is demonstrated in this simple example. You can find extensive documentation in GitHub [here](https://github.com/uc-cdis/guppy/blob/master/doc/queries.md) in case you'd like to build your own queries from scratch.\n", + "* The Gen3 SDK (intialized as `query` above in this notebook) has Python wrapper scripts to make sending queries to the guppy graphQL API simpler. The guppy SDK package can be viewed in GitHub [here](https://github.com/uc-cdis/gen3sdk-python/blob/master/gen3/query.py).\n", + "* Guppy queries focus on a particular type of data (cases, imaging studies, files, etc.), which corresponds to the major tabs in [MIDRC's data explorer GUI](https://data.midrc.org/explorer).\n", + "* Queries include arguments that are akin to selecting filter values in [MIDRC's data explorer GUI](https://data.midrc.org/explorer).\n", + "* To see more documentation about how to use and combine filters with various operator logic (like AND/OR/IN, etc.) see [this page](https://github.com/uc-cdis/guppy/blob/master/doc/queries.md#filter).\n", + "\n", + "---\n" + ] + }, + { + "cell_type": "markdown", + "id": "3e4a624e-f769-46a9-b76c-2efe9713bf61", + "metadata": {}, + "source": [ + "#### Set query parameters\n", + "---\n", + "* Here, we'll send a query to the `imaging_study` guppy index, which corresponds to the \"Imaging Studies\" tab of [MIDRC's data explorer GUI](https://data.midrc.org/explorer).\n", + "* The filters defined below can be modified to return different subsets of imaging studies. Here, we'll use a combination of LOINC method (Modality), system (body part), and long common name (descrition) to narrow our selected imaging studies to show the diversity of study descriptions for a single loinc code.\n", + "* If our query request is successful, the API response should be in JSON format, and it should contain a list of patient IDs along with any other patient data we ask for." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9bc4a36e-0647-4546-9777-6d0ad7b32750", + "metadata": {}, + "outputs": [], + "source": [ + "### Set some \"imaging_study\" query parameters to select Chest X-rays (CXR) imaging studies in MIDRC\n", + "\n", + "## Here we select imaging studies with a LOINC System of \"Chest\", which is the harmonized BodyPartExamined\n", + "loinc_system = \"Chest\"\n", + "\n", + "## Here we select imaging studies with a LOINC Method of \"XR\", which is the harmonized Modality\n", + "loinc_method = \"CT\"\n", + "loinc_method = \"XR\"\n", + "\n", + "## Here we select imaging studies with a LOINC Long Common Name of \"\", which is the harmonized StudyDescription\n", + "loinc_long_common_name = \"CT Chest W contrast IV\"\n", + "loinc_long_common_name = \"XR Chest Single view\"\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8910b3e4", + "metadata": {}, + "outputs": [], + "source": [ + "## Note: the \"fields\" option defines what fields we want the query to return. If set to \"None\", returns all available fields.\n", + "\n", + "imaging_studies = query.raw_data_download(\n", + " data_type=\"imaging_study\",\n", + " fields=None,\n", + " filter_object={\n", + " \"AND\": [\n", + " {\"=\": {\"loinc_method\": loinc_method}},\n", + " {\"=\": {\"loinc_system\": loinc_system}},\n", + " {\"=\": {\"loinc_long_common_name\": loinc_long_common_name}},\n", + " ]\n", + " },\n", + " sort_fields=[{\"submitter_id\": \"asc\"}]\n", + " )\n", + "\n", + "if len(imaging_studies) > 0 and \"submitter_id\" in imaging_studies[0]:\n", + " imaging_studies_ids = [i['submitter_id'] for i in imaging_studies] ## make a list of the imaging study IDs returned\n", + " case_count = len(list(set([i['case_ids'][0] for i in imaging_studies])))\n", + " print(\"Query returned {} imaging studies for {} cases.\".format(len(imaging_studies),case_count))\n", + " print(\"Data is a list with rows like this:\\n\\t {}\".format(imaging_studies[0:1]))\n", + "else:\n", + " print(\"Your query returned no data! Please, check that query parameters are valid.\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "33093eff-621f-452b-a0af-89af1940c65f", + "metadata": {}, + "outputs": [], + "source": [ + "imaging_studies_df = pd.DataFrame(imaging_studies)\n", + "display(imaging_studies_df)\n", + "\n", + "## Look at diversity of original DICOM Imaging Study Descriptions\n", + "print(\"For these LOINC Long Common names: {} \\nThere are these {} study descriptions:\".format(list(set(imaging_studies_df['loinc_long_common_name'])),len(list(set(imaging_studies_df['study_description'])))))\n", + "list(set(imaging_studies_df['study_description']))" + ] + }, + { + "cell_type": "markdown", + "id": "0df3cf2b-f1e7-4139-a86c-f1de2e91c105", + "metadata": {}, + "source": [ + "## Add some patient demographics to our query in order to narrow down the selection\n", + "---" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0489f3d7-530e-4ea8-8e75-469f2c6ac60c", + "metadata": {}, + "outputs": [], + "source": [ + "## LOINC terms\n", + "loinc_system = \"Chest\"\n", + "loinc_method = \"XR\"\n", + "loinc_long_common_name = \"XR Chest Single view\"\n", + "\n", + "## Case filters: we will select Hispanic males 70 years of age and older\n", + "ethnicity = \"Hispanic or Latino\"\n", + "race = [\"Asian\",\"Black or African American\"]\n", + "sex = \"Male\"\n", + "age_threshold = 70" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "54e9af2e-0809-4529-8df5-9d979c080467", + "metadata": {}, + "outputs": [], + "source": [ + "## Note: the \"fields\" option defines what fields we want the query to return. If set to \"None\", returns all available fields.\n", + "\n", + "imaging_studies = query.raw_data_download(\n", + " data_type=\"imaging_study\",\n", + " fields=None,\n", + " filter_object={\n", + " \"AND\": [\n", + " {\"=\": {\"loinc_method\": loinc_method}},\n", + " {\"=\": {\"loinc_system\": loinc_system}},\n", + " {\"=\": {\"loinc_long_common_name\": loinc_long_common_name}},\n", + " {\"=\": {\"sex\": sex}},\n", + " {\"=\": {\"ethnicity\": ethnicity}},\n", + " {\"IN\": {\"race\": race}},\n", + " {\">=\": {\"age_at_index\": age_threshold}},\n", + " ]\n", + " },\n", + " sort_fields=[{\"submitter_id\": \"asc\"}]\n", + " )\n", + "\n", + "if len(imaging_studies) > 0 and \"submitter_id\" in imaging_studies[0]:\n", + " imaging_studies_ids = [i['submitter_id'] for i in imaging_studies] ## make a list of the imaging study IDs returned\n", + " case_count = len(list(set([i['case_ids'][0] for i in imaging_studies])))\n", + " print(\"Query returned {} imaging studies for {} cases.\".format(len(imaging_studies),case_count))\n", + " print(\"Data is a list with rows like this:\\n\\t {}\".format(imaging_studies[0:1]))\n", + "else:\n", + " print(\"Your query returned no data! Please, check that query parameters are valid.\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "579056bd-efab-4a9c-a11d-f2458de99a89", + "metadata": {}, + "outputs": [], + "source": [ + "imaging_studies_df = pd.DataFrame(imaging_studies)\n", + "display(imaging_studies_df)\n", + "print(\"For these LOINC Long Common names: {} \\nThere are these {} study descriptions: {}\".format(list(set(imaging_studies_df['loinc_long_common_name'])),len(list(set(imaging_studies_df['study_description']))),list(set(imaging_studies_df['study_description']))))" + ] + }, + { + "cell_type": "markdown", + "id": "2c0f29ab-ab87-4fe5-859b-d5158c0fa3d7", + "metadata": {}, + "source": [ + "## 3) Send another query to get data file details for our cohort / case ID\n", + "---\n", + "The `object_id` field in each imaging study record above contains the file identifiers for all files associated with each imaging study, which could include files like third-party annotations. If we simply want to access all files associated with our list of cases, we can use those object_ids. \n", + "\n", + "However, in this example, we'll ask for specific types of files and get more detailed information about each of the files. This is achieved by querying the `data_file` guppy index, which corresponds to the \"Data Files\" tab of the MIDRC data explorer GUID. \n", + "\n", + "All MIDRC data files, including both images and annotations, are listed in the guppy index \"data_file\", which is queried in a similar manner to our query of the `imaging_study` index above. The query parameter `data_type` below determines which guppy (Elasticsearch) index we're querying.\n", + "\n", + "To get only `data_file` records that correspond to our imaging study cohort built previously, we'll use the list of study UIDs as a query filter. \n" + ] + }, + { + "cell_type": "markdown", + "id": "2959c0ed-adde-4f34-8308-ca0f61c599cf", + "metadata": {}, + "source": [ + "### Set 'data_file' query parameters\n", + "---\n", + "Here, we'll utilize the property `source_node` to filter the list of files for our cohort to only those matching the type of files we're interested in. In this example, we ask only for CR and DX (x-ray) images, which will exclude any other types of files like annotations.\n", + "\n", + "We're also using the property `study_uid` as a filter to restrict the `data_file` records returned down to those associated with the imaging studies in our cohort built above. \n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "07f33bd1-7393-4e0a-902a-771783568280", + "metadata": {}, + "outputs": [], + "source": [ + "# Build a list of study UIDs to use as a filter in our data_file query\n", + "study_uids = [i['study_uid'] for i in imaging_studies]\n", + "study_uids" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2efabbc8-c9cb-481a-9847-50659918b6d7", + "metadata": {}, + "outputs": [], + "source": [ + "# Choose the types of data we want using \"source_node\" as a filter\n", + "source_nodes = [\"cr_series_file\",\"dx_series_file\"]\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d3a2b920-15d0-4399-ab2d-4faa2748a314", + "metadata": {}, + "outputs": [], + "source": [ + "## Search for specific files associated with our cohort by adding \"study_uid\" as a filter\n", + "# * Note: \"fields\" is set to \"None\" in this query, which by default returns all the properties available\n", + "data_files = query.raw_data_download(\n", + " data_type=\"data_file\",\n", + " fields=None,\n", + " filter_object={\n", + " \"AND\": [\n", + " {\"IN\": {\"study_uid\": study_uids}},\n", + " {\"IN\": {\"source_node\": source_nodes}},\n", + " ]\n", + " },\n", + " sort_fields=[{\"submitter_id\": \"asc\"}]\n", + " )\n", + "\n", + "if len(data_files) > 0:\n", + " object_ids = [i['object_id'] for i in data_files if 'object_id' in i] ## make a list of the file object_ids returned by our query\n", + " print(\"Query returned {} data files with {} object_ids.\".format(len(data_files),len(object_ids)))\n", + " print(\"Data is a list with rows like this:\\n\\t {}\".format(data_files[0:1]))\n", + "else:\n", + " print(\"Your query returned no data! Please, check that query parameters are valid.\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "972b4805-61a3-4c22-8339-93878f201e46", + "metadata": {}, + "outputs": [], + "source": [ + "# object_id (AKA \"data GUID\") is a globally unique file identifier that points to an actual file object in cloud storage. We'll use the object_ids along with the gen3 command-line tool to download the files these object_ids point to.\n", + "object_ids\n" + ] + }, + { + "cell_type": "markdown", + "id": "81e35d9b-e8ec-4fc0-9d3c-7485446c15f3", + "metadata": {}, + "source": [ + "## 4) Access data files using their object_id / data GUID (globally unique identifiers)\n", + "---\n", + "In order to download files stored in MIDRC, users need to reference the file's object_id (AKA data GUID or Globally Unique IDentifier).\n", + "\n", + "Once we have a list of GUIDs we want to download, we can use either the gen3-client or the gen3 SDK to download the files. You can also access individual files in your browser after logging-in and entering the GUID after the `files/` endpoint, as in this URL: https://data.midrc.org/files/GUID\n", + "\n", + "where GUID is the actual GUID, e.g.: https://data.midrc.org/files/dg.MD1R/b87d0db3-d95a-43c7-ace1-ab2c130e04ec\n", + "\n", + "For instructions on how to install and use the gen3-client, please see [the MIDRC quick-start guide](https://data.midrc.org/dashboard/Public/documentation/Gen3_MIDRC_GetStarted.pdf), which can be found linked here and in the MIDRC data portal header as \"Get Started\".\n", + "\n", + "Below we use the gen3 SDK command `gen3 drs-pull object` which is [documented in detail here](https://github.com/uc-cdis/gen3sdk-python/blob/master/docs/howto/drsDownloading.md)." + ] + }, + { + "cell_type": "markdown", + "id": "8449f221-1d8d-4501-86af-111111fc7bf3", + "metadata": {}, + "source": [ + "### Use the Gen3 SDK command `gen3 drs-pull object` to download an individual file" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f3462219-202b-4d59-9a3d-14cbdecab77b", + "metadata": {}, + "outputs": [], + "source": [ + "## Make a new directory for downloaded files\n", + "os.system(\"rm -r downloads\")\n", + "os.system(\"mkdir -p downloads\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5b156930-805f-4562-aea7-62798b13e46b", + "metadata": {}, + "outputs": [], + "source": [ + "## We can use a simple loop to download all files and keep track of successes and failures\n", + "\n", + "success,failure,other=[],[],[]\n", + "count,total = 0,len(object_ids)\n", + "for object_id in object_ids:\n", + " count+=1\n", + " cmd = \"gen3 --auth {} --endpoint data.midrc.org drs-pull object {} --output-dir downloads\".format(cred,object_id)\n", + " stout = subprocess.run(cmd, shell=True, capture_output=True)\n", + " print(\"Progress ({}/{}): {}\".format(count,total,stout.stdout))\n", + " if \"failed\" in str(stout.stdout):\n", + " failure.append(object_id)\n", + " elif \"successfully\" in str(stout.stdout):\n", + " success.append(object_id)\n", + " else:\n", + " other.append(object_id)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cd0ebe63-380a-4606-8285-5736ec87ffee", + "metadata": {}, + "outputs": [], + "source": [ + "# Get a list of all downloaded .dcm files\n", + "image_files = glob.glob(pathname='**/*.dcm',recursive=True,)\n", + "image_files" + ] + }, + { + "cell_type": "markdown", + "id": "d53c1364-aba9-461f-a0f9-e7730875a339", + "metadata": {}, + "source": [ + "### View the DICOM Images\n", + "---\n", + "Here we'll use the [Python package `pydicom`](https://pydicom.github.io/pydicom/stable/) to view the downloaded DICOM images. \n", + "\n", + "Note that some of the files may contain compressed pixel data that require other packages to view; so, for this demo we'll simply skip over those using the following loop." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "533ce308-3618-47b2-bae1-ad4681feab02", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "for image_file in image_files:\n", + " print(image_file)\n", + " ds = pydicom.dcmread(image_file)\n", + " try:\n", + " new_image = ds.pixel_array.astype(float)\n", + " scaled_image = (np.maximum(new_image, 0) / new_image.max()) * 255.0\n", + " scaled_image = np.uint8(scaled_image)\n", + " final_image = Image.fromarray(scaled_image)\n", + " print(type(final_image))\n", + " display(final_image)\n", + " except Exception as e:\n", + " print(\"Couldn't view {}: {}.\".format(image_file,e))" + ] + }, + { + "cell_type": "markdown", + "id": "60bb7027-7fb3-47cb-8b4b-2d084287fc20", + "metadata": {}, + "source": [ + "#### View the DICOM Headers\n", + "---\n", + "DICOM files have metadata elements embedded in the images. These can also be read and viewed using the `pydicom` package." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a1bbb4c1-9ab6-4260-904e-977836b57a01", + "metadata": {}, + "outputs": [], + "source": [ + "ds = pydicom.dcmread(image_files[0],force=True)\n", + "display(ds)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4dec9bce-7f8f-48ee-abe1-6bc380d923c3", + "metadata": {}, + "outputs": [], + "source": [ + "# Access individual elements\n", + "display(ds.file_meta)\n", + "display(ds.ImageType)\n", + "display(ds[0x0008, 0x0016])\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ecceb434-83f2-45f1-b1f0-7e1c58fafde9", + "metadata": {}, + "outputs": [], + "source": [ + "# View the dicom metadata for all files as a DataFrame\n", + "dfs = []\n", + "for image_file in image_files:\n", + " ds = pydicom.dcmread(image_file)\n", + " df = pd.DataFrame(ds.values())\n", + " df[0] = df[0].apply(lambda x: pydicom.dataelem.DataElement_from_raw(x) if isinstance(x, pydicom.dataelem.RawDataElement) else x)\n", + " df['name'] = df[0].apply(lambda x: x.name)\n", + " df['value'] = df[0].apply(lambda x: x.value)\n", + " df = df[['name', 'value']]\n", + " df = df.set_index('name').T.reset_index(drop=True)\n", + " df['filename'] = image_file\n", + " df.drop(columns=['Pixel Data'],inplace=True) # drop the pixel data as it's too large and nonsensical to store in a DataFrame\n", + " dfs.append(df)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3e55cd95-570b-42d0-80cd-fb47693c49dd", + "metadata": {}, + "outputs": [], + "source": [ + "# Make a master dataframe for all images using only headers in all dataframes\n", + "headers = list(set.intersection(*map(set,dfs)))\n", + "df = pd.concat([df[headers] for df in dfs])\n", + "df.set_index('filename',inplace=True)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c54f11af-4b8c-4744-bc88-6cd2ced7e102", + "metadata": {}, + "outputs": [], + "source": [ + "display(df)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5b991196-5298-43b6-987a-90de9bf308e5", + "metadata": {}, + "outputs": [], + "source": [ + "## Export the file metadata as a TSV file\n", + "filename = \"MIDRC_DICOM_metadata.tsv\"\n", + "df.to_csv(filename, sep='\\t')\n" + ] + }, + { + "cell_type": "markdown", + "id": "544761e9", + "metadata": {}, + "source": [ + "## The End\n", + "---\n", + "If you have any questions related to this notebook don't hesitate to reach out to the MIDRC Helpdesk at midrc-support@gen3.org or the author directly at cgmeyer@uchicago.edu\n", + "\n", + "Happy data wrangling!" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.0" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/jupyter-midrc/combined_demos/Cohort_Selection_Using_MIDRC_Temporal_COVID_Test_Data.ipynb b/jupyter-midrc/combined_demos/Cohort_Selection_Using_MIDRC_Temporal_COVID_Test_Data.ipynb new file mode 100644 index 00000000..2cce0c7d --- /dev/null +++ b/jupyter-midrc/combined_demos/Cohort_Selection_Using_MIDRC_Temporal_COVID_Test_Data.ipynb @@ -0,0 +1,648 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Cohort Selection Using MIDRC Temporal COVID Test Data\n", + "---\n", + "by Chris Meyer, PhD\n", + "\n", + "Manager of Data and User Services at the Center for Translational Data Science at the University of Chicago\n", + "\n", + "August 2022\n", + "\n", + "---\n", + "This Jupyter notebook tutorial demonstrates how to use the MIDRC data commons' APIs to access imaging study and COVID-19 test data, how to use temporal properties in those data to select a cohort of COVID-19 positive imaging studies, and how to access those image files." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Python packages:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "# The packages below may be necessary for users to install according to the imports necessary in the subsequent cells.\n", + "\n", + "#!pip install --upgrade pandas\n", + "#!pip install --upgrade --ignore-installed PyYAML\n", + "#!pip install --upgrade pip\n", + "#!pip install --upgrade gen3 --user --upgrade\n", + "#!pip install cdiserrors\n", + "#!pip install --upgrade pydicom" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Import Python Packages and scripts" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Import Python Packages and scripts\n", + "import pandas as pd\n", + "import sys, os, webbrowser\n", + "import gen3\n", + "import pydicom\n", + "import subprocess\n", + "import matplotlib.pyplot as plt\n", + "\n", + "from gen3.submission import Gen3Submission\n", + "from gen3.auth import Gen3Auth\n", + "from gen3.index import Gen3Index\n", + "from expansion import Gen3Expansion\n", + "from IPython.display import display\n", + "from gen3.query import Gen3Query" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Import some custom Python scripts from personal GitHub repo\n", + "# change these directory paths to reflect your local working directory\n", + "\n", + "home_dir = \"/Users/christopher\" \n", + "demo_dir = \"{}/Documents/Notes/MIDRC/tutorials\".format(home_dir)\n", + "\n", + "os.chdir(demo_dir)\n", + "\n", + "os.system(\"wget https://raw.githubusercontent.com/cgmeyer/gen3sdk-python/master/expansion/expansion.py -O {}/expansion.py\".format(demo_dir))\n", + "%run expansion.py\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Initiate instances of the Gen3 SDK Classes using credentials file for authentication\n", + "# Change the directory path in \"cred\" to reflect the location of your credentials file.\n", + "\n", + "api = \"https://data.midrc.org\"\n", + "cred = \"{}/Downloads/midrc-credentials.json\".format(home_dir)\n", + "auth = Gen3Auth(api, refresh_file=cred) # authentication class\n", + "sub = Gen3Submission(api, auth) # submission class\n", + "query = Gen3Query(auth) # query class\n", + "exp = Gen3Expansion(api,auth,sub) # class with some custom scripts\n", + "exp.get_project_ids()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "source": [ + "\n", + "## How can one associate the date of an imaging exam with the date of COVID-19 test results for a patient?\n", + "---\n", + "\n", + "Specific dates are not allowed in the MIDRC data commons, but given a single \"index_event\" for a case, \"days to X from index event\" properties are provided.\n", + "\n", + "For example, one can query or export the imaging_study node, which has \"days_to_study\", and the measurement node, which has \"test_days_from_index\", and merge into a single table on \"case_ids\" (the unique, de-identified patient identifiers) to create a temporal timeline of imaging studies and COVID-19 tests for a cohort of patients.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Export metadata using submission API\n", + "---\n", + "Here we'll utilize the MIDRC submission API to export all the imaging study and measurement (COVID-19 tests) data using the [\"get_node_tsvs\" function](https://github.com/cgmeyer/gen3sdk-python/blob/2aecc6575b22f9cca279b650914971dd6723a2ce/expansion/expansion.py#L219), which is a wrapper to export and merge all the records in a node across each project in the data commons using the [Gen3SDK](https://github.com/uc-cdis/gen3sdk-python/) function [Gen3Submission.export_node()](https://github.com/uc-cdis/gen3sdk-python/blob/5d7b5270ff11cf7037f211cf01e410d8e73d6b84/gen3/submission.py#L361)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "# Export all the records in the imaging_study node\n", + "st = exp.get_node_tsvs(node='imaging_study')\n", + "print('\\nrows:{}, columns:{}'.format(st.shape[0],st.shape[1]))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Filter the imaging_study data for only studies that have a non-null \"days_to_study\" and \"DX\" study_modality\n", + "s = st.loc[(~st['days_to_study'].isna()) & (st['study_modality']=='DX')]\n", + "print('rows:{}, columns:{}'.format(s.shape[0],s.shape[1]))\n", + "s.head(3)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "#Export all the data in the measurement node, which is used to store the COVID test data\n", + "meas = exp.get_node_tsvs(node='measurement')\n", + "print('\\nrows:{}, columns:{}'.format(meas.shape[0],meas.shape[1]))\n", + "meas.head(3)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "## Filter the measurements for only COVID-19 tests with a non-null \"test_days_from_index\" property\n", + "m = meas.loc[(~meas['test_days_from_index'].isna()) & (meas['test_name']=='COVID-19')]\n", + "print('\\nrows:{}, columns:{}'.format(m.shape[0],m.shape[1]))\n", + "m.head(3)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "## Check out the properties in each DataFrame to help make a list of properties to merge into a single table\n", + "display(list(s))\n", + "display(len(s))\n", + "display(list(m))\n", + "display(len(m))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "## Merge the imaging_study and measurement data using \"case_ids\" as a foreign key\n", + "temp = pd.merge(s[['study_uid','days_to_study','case_ids']],m[['project_id','submitter_id','test_name','test_result_text','case_ids','test_days_from_index']],on='case_ids')\n", + "print('\\nrows:{}, columns:{}'.format(temp.shape[0],temp.shape[1]))\n", + "display(temp)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Calculate the days from COVID-19 test to an imaging_study\n", + "---\n", + "Now that we have the temporal data for imaging studies and COVID-19 tests in a single DataFrame for all cases in MIDRC for which this data is provided, we can calculate the number of days between each imaging study and each COVID-19 test, which we'll call `days_from_study_to_test`.\n", + "\n", + "* Note: In MIDRC, a negative \"days to XYZ\" indicates that the event XYZ took place that many days prior to the index event, while a positive \"days to\" indicates the number of days since the index event. For example, a \"days_to_study\" of \"-10\" indicates that the imaging study was performed 10 days *before* the index event. A value of \"365\" indicates the imaging study took place one year *after* the index event. \n", + "\n", + "In the case of a derived property like `days_from_study_to_test`, the date of the study can be thought of as the 0 point, and the test takes place in time either before the study, moving backwards on the timeline (negative value) or the test takes place after the study (moving forward in time).\n", + "\n", + "So, we expect a positive value for `days_from_study_to_test` if the test was performed after the study.\n", + "- For example, if `test_days_from_index` is `1` and `days_to_study` is `4`, the `days_from_study_to_test` should be `-3`, which means the test took place 3 days before the study.\n", + "- If the COVID test is on day 4 and the imaging study is on day 1, then the `days_from_study_to_test` is `3`, meaning the COVID-19 test took place 3 days after the imaging study.\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "## Calculate the days from COVID-19 test to an imaging_study\n", + "temp['days_from_study_to_test'] = temp['test_days_from_index'] - temp['days_to_study']\n", + "display(temp)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Identify \"COVID-19 positive\" imaging studies\n", + "---\n", + "Now that we've calculated `days_from_study_to_test`, we can define a cut-off value and filter the imaging studies using that value to determine which imaging studies were performed within a certain time-frame of receiving a positive COVID-19 test.\n", + "\n", + "Again, our new derived attribute `days_from_study_to_test` has a positive value if the COVID test was performed after the imaging study (i.e., from the study date to test date is moving forward in time) and a negative value if the COVID test was performed before the imaging study (i.e., go back in time from the imaging date to the COVID test date). \n", + "\n", + "For this demo, let's assume that an imaging study was performed when a person was \"COVID-positive\" if the imaging study was performed within a 7 day window after a positive test result. So, we'll filter the DataFrame of studies for a `days_from_study_to_test` in the range of -7 to 0 and also require the `test_result_text` to be `Positive`.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "ps = temp.loc[(temp['days_from_study_to_test'] < 0) & (temp['days_from_study_to_test'] > -7) & (temp['test_result_text']=='Positive')]\n", + "display(ps)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#Saving the data frame to a csv\n", + "os.chdir(demo_dir)\n", + "filename = 'DX_imaging_studies_plus_covid_tests.tsv' \n", + "ps.to_csv(filename,sep='\\t',index=False)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Get the imaging files for the identified studies or cases.\n", + "---\n", + "Now that we have a list of imaging studies that were deemed to take place soon after a patient was infected with COVID-19, we can use the study_uid, which is a unique identifier for imaging studies, to collect the associated files. \n", + "\n", + "Note: If we want *all* the imaging studies for the cohort of identified cases, e.g., to have a \"healthy\" or \"baseline\" images for comparison, we can instead use the case_ids to pull all imaging files for the cases, keeping in mind that this will pull any additional imaging studies that may fall outside our defined temporal range." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "## Make a list of study_uids and case_ids\n", + "\n", + "## read in previously saved DataFrame if restarting notebook:\n", + "# pd.read_csv(filename, sep='\\t', dtype=str)\n", + "\n", + "cids = list(set(ps['case_ids']))\n", + "display(len(cids))\n", + "\n", + "sids = list(set(ps['study_uid']))\n", + "display(len(sids))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "## This query retrieves ALL imaging_study records, we will next filter these results based on the COVID test data\n", + "data = query.raw_data_download(\n", + " data_type=\"imaging_study\",\n", + " fields=[\n", + " \"study_uid\",\n", + " \"case_ids\",\n", + " \"object_id\",\n", + " \"project_id\"\n", + " ],\n", + " sort_fields=[{\"study_uid\": \"asc\"}],\n", + " accessibility=\"accessible\"\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "## Take a glance at the returned data\n", + "display(len(data))\n", + "display(data[0])\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# convert the query data to a DataFrame and remove any records that lack a study_uid or object_id\n", + "studies = pd.DataFrame(data)\n", + "studies = studies.loc[(~studies['object_id'].isna())&(~studies['study_uid'].isna())]\n", + "display(len(studies))\n", + "studies.head()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Convert lists to strings; necessary because the properties case_ids and object_id are arrays in the dictionary, and thus are returned as lists.\n", + "studies['case_ids'] = [','.join(map(str, l)) for l in studies['case_ids']]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Now filter the imaging studies based on our temporal results\n", + "covid_studies = studies.loc[studies['study_uid'].isin(sids)]\n", + "len(covid_studies)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# save our result to a csv\n", + "filename = \"covid_positive_DX_imaging_studies_7d_window_with_object_ids.tsv\"\n", + "covid_studies.to_csv(filename, sep='\\t', index=False)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "object_ids = list(set([a for b in covid_studies.object_id.tolist() for a in b]))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "len(object_ids)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Now that we have a list of file object_ids for the desired imaging studies, we can use the Gen3 SDK \"drs-pull\" commands to access the files themselves.\n", + "---\n", + "First, we'll create a manifest.json file using a [simple script](https://github.com/cgmeyer/gen3sdk-python/blob/389e3945482439ace6e4536e6d0e35c6e48de9c9/expansion/expansion.py#L2575). Then we'll use the `gen3 drs-pull manifest` command to download the files.\n", + "\n", + "See the detailed documentation to learn more about the Gen3 SDK drs-pull command: https://github.com/uc-cdis/gen3sdk-python/blob/master/docs/howto/drsDownloading.md\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Save the manifest of file object_ids to a JSON file\n", + "mani_name = 'MIDRC_DX_imaging_studies_covid_positive_manifest.json'\n", + "exp.write_manifest(guids=object_ids, filename=mani_name)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# To download all files in the manifest, use the \"gen3 drs-pull manifest\" command\n", + "download_dir = \"{}/images\".format(demo_dir)\n", + "\n", + "if not os.path.exists(download_dir):\n", + " os.makedirs(download_dir)\n", + " \n", + "cmd = \"gen3 --auth {} --endpoint data.midrc.org drs-pull manifest {} {}\".format(cred, mani_name, download_dir)\n", + "print(cmd)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "## Run the manifest download command. \n", + "## Note that this will take some time if the manifest is very large. It makes more sense to copy the above command and run in your terminal instead of from a Jupyter Notebook to monitor the progress in real-time.\n", + "# subprocess.run(cmd, shell=True, capture_output=True)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Now download a single DX image and display it in the notebook\n", + "---\n", + "Now we'll download a single x-ray file using the `gen3 drs-pull object` command and display the image and it's embedded metadata on the screen.\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Prepare to download a single image file via it's object_id using the gen3 SDK; save object_id to a variable\n", + "case_ids = covid_studies.iloc[0]['case_ids']\n", + "study_uid = covid_studies.iloc[0]['study_uid']\n", + "object_id = covid_studies.iloc[0]['object_id'][0]\n", + "\n", + "display(case_ids)\n", + "display(study_uid)\n", + "display(object_id)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Build the SDK command to send to the shell.\n", + "# Note: \"gen3\" refers to a Gen3 SDK function that runs at the users command line\n", + "# Users may experience errors or warnings but may have still downloaded the file. Check this in your working directory.\n", + "\n", + "cmd = \"gen3 --auth {} --endpoint data.midrc.org drs-pull object {}\".format(cred,object_id)\n", + "display(cmd)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Run the download command.\n", + "subprocess.run(cmd, shell=True, capture_output=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# The above command should have successfully downloaded a new directory with a zipped file. \n", + "cmd = \"ls -l {}/{}\".format(case_ids,study_uid)\n", + "stout = subprocess.run(cmd, shell=True, capture_output=True)\n", + "print(stout)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "## Grab the filename and series UID of the downloaded file using RegEx\n", + "import re\n", + "\n", + "m = re.search(' ([0-9\\.]+.zip)', str(stout))\n", + "\n", + "if m:\n", + " zip_file = m.group(1)\n", + " print(zip_file)\n", + "else:\n", + " print(\"No zip found.\")\n", + "\n", + "series_uid = re.sub(\"(\\.zip)\", \"\", zip_file)\n", + "print(series_uid)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Unzip the imaging series package\n", + "from zipfile import ZipFile\n", + "\n", + "with ZipFile('{}/{}/{}/{}'.format(demo_dir,case_ids,study_uid,zip_file), 'r') as zipObj:\n", + " zipObj.extractall()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#Input the name of the newly create .dcm file\n", + "cmd = \"ls -l {}/{}/{}\".format(case_ids,study_uid,series_uid)\n", + "stout = subprocess.run(cmd, shell=True, capture_output=True)\n", + "print(stout)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Get the name of the first DICOM file in the extracted imaging series\n", + "m = re.search(' ([0-9\\.]+.dcm)', str(stout))\n", + "\n", + "if m:\n", + " dcm_file = m.group(1)\n", + " print(dcm_file)\n", + "else:\n", + " print(\"No DCM files found.\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Read in the DCM file using the python DICOM package pydicom\n", + "dimg = pydicom.dcmread(\"{}/{}/{}/{}\".format(case_ids,study_uid,series_uid,dcm_file),force=True)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "dimg" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "## tell matplotlib to display our images as 6 x 6 inch image, with resolution of 100 dpi\n", + "plt.figure(figsize = (6,6), dpi=100) \n", + "\n", + "## tell matplotlib to display our image, using a gray-scale lookup table.\n", + "plt.imshow(dimg.pixel_array, cmap=plt.cm.gray)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## The End\n", + "---\n", + "If you have any questions related to this notebook don't hesitate to reach out to the MIDRC Helpdesk at midrc-support@gen3.org or the author directly at cgmeyer@uchicago.edu\n", + "\n", + "Happy data wrangling!" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.0" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/jupyter-midrc/combined_demos/MIDRC_CT_Scan.ipynb b/jupyter-midrc/combined_demos/MIDRC_CT_Scan.ipynb new file mode 100644 index 00000000..00c081b3 --- /dev/null +++ b/jupyter-midrc/combined_demos/MIDRC_CT_Scan.ipynb @@ -0,0 +1,542 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "af83418b", + "metadata": {}, + "source": [ + "# Demo - Intereacting With MIDRC CT Scan Images" + ] + }, + { + "cell_type": "markdown", + "id": "2890d927", + "metadata": {}, + "source": [ + "*Please note: This notebook uses open access data*\n", + "\n", + "\n", + "In this demo we will review how to import MIDRC imaging data, how to convert CT scan images from dicom (dcm) formats to png and jpeg formats, and how to view these CT scan images. This demo will also show how to extract file and patient metadata from the header of dicom (dcm) files." + ] + }, + { + "cell_type": "markdown", + "id": "a0198857", + "metadata": {}, + "source": [ + "### Import Data And Packages\n", + "Import the packages pydicom, pillow, and dicom_csv, as well as pandas, os and numpy. If any of these packages are not already installed to your workspace you can run one of the following:\n", + "- 'pip install < package >' in your terminal\n", + "- '!pip install < package >' in a notebook cell" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9182747a", + "metadata": {}, + "outputs": [], + "source": [ + "#The packages below may be necessary for users to install according to the imports necessary in the subsequent cells\n", + "\n", + "#!pip install gen3 --user\n", + "#!pip install numpy --upgrade\n", + "#!pip install pydicom --upgrade\n", + "#!pip install pillow --upgrade\n", + "#!pip install dicom-csv --upgrade" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "eb457b4b", + "metadata": {}, + "outputs": [], + "source": [ + "import pydicom\n", + "import numpy as np\n", + "from PIL import Image\n", + "import pandas as pd\n", + "import os\n", + "from dicom_csv import join_tree\n", + "import subprocess\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "ca92d009", + "metadata": {}, + "source": [ + "## Import data objects of CT scan images using the gen3 SDK\n", + "---\n", + "* Note: \"gen3\" commands are utilizing the Gen3 SDK \"drs-pull\" function, which runs at the users command line. See the detailed documentation to learn more about how to access data using the Gen3 SDK: https://github.com/uc-cdis/gen3sdk-python/blob/master/docs/howto/drsDownloading.md \n", + "\n", + "* Users may experience errors or warnings if the file's metadata is incomplete, but the file may have still downloaded. Check for the files in your current working directory.\n", + "\n", + "* Users will need to change the path to their \"--auth\" credentials file for each drs-pull command. Credentials are available at https://data.midrc.org/identity in the form of the api key file.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "06ee94f0", + "metadata": {}, + "outputs": [], + "source": [ + "cred = \"/Users/christopher/Downloads/midrc-credentials.json\" # change this file path\n", + "\n", + "object_ids = ['dg.MD1R/ea669b5e-ae51-40ba-b375-ed23a9cd1855',\n", + " 'dg.MD1R/a745ed98-0cb9-4537-826b-13b2e354e8bb',\n", + " 'dg.MD1R/e604979a-c71b-4ec6-b8a0-959837b86384',\n", + " 'dg.MD1R/b5cee98d-46ff-4438-aa00-90727a383340',\n", + " 'dg.MD1R/8a5a5579-7925-432d-a614-3ed208f1c182',\n", + " 'dg.MD1R/33034812-47f3-4c0e-b60b-fa7a2a04ecda',\n", + " 'dg.MD1R/5ca987c5-c660-4785-a67d-a3424cc8ec6e',\n", + " 'dg.MD1R/44148117-1858-49ef-b30f-d239abfaff80',\n", + " 'dg.MD1R/9ea205e8-a774-4318-a323-95eadda9bc5c',\n", + " 'dg.MD1R/09ece36f-a0fa-48e8-8fc2-62110eaae570']\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8294b02d", + "metadata": {}, + "outputs": [], + "source": [ + "for object_id in object_ids:\n", + " cmd = \"gen3 --auth {} --endpoint data.midrc.org drs-pull object {}\".format(cred,object_id)\n", + " display(cmd)\n", + " subprocess.run(cmd, shell=True, capture_output=True)\n", + "\n", + " " + ] + }, + { + "cell_type": "markdown", + "id": "6a1a9b24", + "metadata": {}, + "source": [ + "All 10 data objects are now stored under the folder 'COVID-19-NY-SBU'" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "561dc3dc", + "metadata": {}, + "outputs": [], + "source": [ + "!ls -l COVID-19-NY-SBU" + ] + }, + { + "cell_type": "markdown", + "id": "58aa3021", + "metadata": {}, + "source": [ + "### View Image" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0b59aa5a", + "metadata": {}, + "outputs": [], + "source": [ + "image_path = 'COVID-19-NY-SBU/A034518/12-31-1900-CT ABD PELVIS(WITH CHEST IMAGES) W IV CON-21869/4.000000-Lung 1.0 CE-04129/1-273.dcm'\n", + "image_path" + ] + }, + { + "cell_type": "markdown", + "id": "f5d35a95", + "metadata": {}, + "source": [ + "Read the dcm image using the relative file path." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3b20a8db", + "metadata": {}, + "outputs": [], + "source": [ + "ds = pydicom.dcmread(image_path)" + ] + }, + { + "cell_type": "markdown", + "id": "ca111869", + "metadata": {}, + "source": [ + "Get the pixel arrays for the image." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d0a8ffdf", + "metadata": {}, + "outputs": [], + "source": [ + "new_image = ds.pixel_array.astype(float)\n", + "new_image" + ] + }, + { + "cell_type": "markdown", + "id": "08663cf8", + "metadata": {}, + "source": [ + "Scale the image's pixel array and convert to a uint8 integer." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b8692d0a", + "metadata": {}, + "outputs": [], + "source": [ + "scaled_image = (np.maximum(new_image, 0) / new_image.max()) * 255.0\n", + "scaled_image = np.uint8(scaled_image)\n", + "scaled_image" + ] + }, + { + "cell_type": "markdown", + "id": "630f91a1", + "metadata": {}, + "source": [ + "Use the Image package to convert the image array and show the image." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "591cc96f", + "metadata": {}, + "outputs": [], + "source": [ + "final_image = Image.fromarray(scaled_image)\n", + "print(type(final_image))\n", + "final_image" + ] + }, + { + "cell_type": "markdown", + "id": "c4c076c0", + "metadata": {}, + "source": [ + "### Convert Images\n", + "Convert images form dcm format to jpeg and png formats and place converted image format to the original image folder." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8a259ff7", + "metadata": {}, + "outputs": [], + "source": [ + "def view_dicom_image(image_path):\n", + " \n", + " ds = pydicom.dcmread(image_path)\n", + " \n", + " new_image = ds.pixel_array.astype(float)\n", + " \n", + " scaled_image = np.uint8((np.maximum(new_image, 0) / new_image.max()) * 255.0)\n", + " \n", + " final_image = Image.fromarray(scaled_image)\n", + "\n", + " return final_image\n", + "\n", + "def dcm_to_png(image_path):\n", + " \n", + " ds = pydicom.dcmread(image_path)\n", + " \n", + " new_image = ds.pixel_array.astype(float)\n", + " \n", + " scaled_image = np.uint8((np.maximum(new_image, 0) / new_image.max()) * 255.0)\n", + " \n", + " final_image = Image.fromarray(scaled_image)\n", + "\n", + " final_image.save(image_path.rsplit('/', 1)[1][:-3] + 'png')\n", + " \n", + "\n", + "def dcm_to_jpeg(image_path):\n", + " \n", + " ds = pydicom.dcmread(image_path)\n", + " \n", + " new_image = ds.pixel_array.astype(float)\n", + " \n", + " scaled_image = np.uint8((np.maximum(new_image, 0) / new_image.max()) * 255.0)\n", + " \n", + " final_image = Image.fromarray(scaled_image)\n", + "\n", + " final_image.save(image_path.rsplit('/', 1)[1][:-3] + 'jpg') \n" + ] + }, + { + "cell_type": "markdown", + "id": "80839ccb", + "metadata": {}, + "source": [ + "Convert dicom image to png and save." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "67d98c20", + "metadata": {}, + "outputs": [], + "source": [ + "image_path = 'COVID-19-NY-SBU/A117394/10-08-1900-CT ABD AND PELVIS WITH IV CONT-39755/9.000000-CTA 0.5 CE-40834/1-0163.dcm'\n", + "dcm_to_png(image_path)" + ] + }, + { + "cell_type": "markdown", + "id": "cdfd06b6", + "metadata": {}, + "source": [ + "Convert dicom image to jpg and save." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bd90fdaa", + "metadata": {}, + "outputs": [], + "source": [ + "image_path = 'COVID-19-NY-SBU/A587516/04-22-1901-CT CHEST WO IV CONT-40216/2.000000-Body 5.0-01241/1-16.dcm'\n", + "dcm_to_jpeg(image_path)" + ] + }, + { + "cell_type": "markdown", + "id": "f3899246", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "source": [ + "Display a few dicom images." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ff550791", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "outputs": [], + "source": [ + "image_path = 'COVID-19-NY-SBU/A546520/12-30-1900-CT CHEST PULMONARY ANGIO WITH IV CON-13804/11.000000-CTA 3.000 CE-95792/1-119.dcm'\n", + "view_dicom_image(image_path)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "61579705", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "outputs": [], + "source": [ + "image_path = 'COVID-19-NY-SBU/A770557/12-19-1900-CT CHEST WO IV CONT-97223/5.000000-Lung 1.0-84269/1-127.dcm'\n", + "view_dicom_image(image_path)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c801d0df", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "outputs": [], + "source": [ + "image_path = 'COVID-19-NY-SBU/A770557/12-19-1900-CT CHEST WO IV CONT-97223/7.000000-Body 3.000-78395/1-53.dcm'\n", + "view_dicom_image(image_path)" + ] + }, + { + "cell_type": "markdown", + "id": "105b7f99", + "metadata": {}, + "source": [ + "### Extract Metadata" + ] + }, + { + "cell_type": "markdown", + "id": "f912e626", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "source": [ + "The following function will extract the file and patient metadata from the header of each dicom (.dcm) file within a given folder and place the collected metadata into a pandas dataframe." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "be0be963", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "outputs": [], + "source": [ + "def extract_metadata(base_folder):\n", + " \n", + " df = pd.DataFrame()\n", + " file_folders = os.listdir(path = base_folder)\n", + " \n", + " for folder in file_folders:\n", + " path = base_folder + '/' + folder\n", + " meta = join_tree(path, verbose=2)\n", + " df = pd.concat([df, meta])\n", + " \n", + " return df" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0e318e25", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "outputs": [], + "source": [ + "base_folder = 'COVID-19-NY-SBU'\n", + "metadata = extract_metadata(base_folder)\n", + "metadata" + ] + }, + { + "cell_type": "markdown", + "id": "3241ff77", + "metadata": {}, + "source": [ + "Included in this metadata are import pieces of file and patient data, such as the body part examined, the patient's sex, the patient's age, etc. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fd079296", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "outputs": [], + "source": [ + "metadata.columns[40:60]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7fee9d5c", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "outputs": [], + "source": [ + "metadata.BodyPartExamined" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c5cedc88", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "outputs": [], + "source": [ + "metadata.PatientSex" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d0fa4cb1", + "metadata": {}, + "outputs": [], + "source": [ + "metadata.PatientAge" + ] + }, + { + "cell_type": "markdown", + "id": "544761e9", + "metadata": {}, + "source": [ + "## The End\n", + "---\n", + "If you have any questions related to this notebook don't hesitate to reach out to the MIDRC Helpdesk at midrc-support@datacommons.io or the author directly at cgmeyer@uchicago.edu\n", + "\n", + "Happy data wrangling!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b692c150", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.0" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/jupyter-midrc/combined_demos/MIDRC_Clinical_Data.ipynb b/jupyter-midrc/combined_demos/MIDRC_Clinical_Data.ipynb new file mode 100644 index 00000000..359d4233 --- /dev/null +++ b/jupyter-midrc/combined_demos/MIDRC_Clinical_Data.ipynb @@ -0,0 +1,419 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "01f878af", + "metadata": {}, + "source": [ + "# MIDRC Open-R1 Clinical Data\n", + "\n", + "*Please note: This notebook uses open access data*\n", + "\n", + "##### Created By: J Montgomery Maxwell" + ] + }, + { + "cell_type": "markdown", + "id": "5dfa1c83", + "metadata": {}, + "source": [ + "In this notebook we will visualize the distribution of subjects accross a variety demographics and their COVID-19 status in the Open-R1 dataset from The Medical Imaging and Data Resource Center. (MIDRC - https://data.midrc.org/)" + ] + }, + { + "cell_type": "markdown", + "id": "7bff7dca", + "metadata": {}, + "source": [ + "The Open-R1 data set has 1,169 subjects, this notebook will compare the distribution of COVID-19 positive and negative patients across multiple demographic classes. In particular we will focus on the subjects' age groups (-20, 21-30, ..., 90+), sex (Male or Female), race (Black or African American, White, Asian, Pacific Islander, American Indian, Other, or Not Reported), and whether the subject is Hispanic or Latino. Below is a subset of the dataset." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d214a58d", + "metadata": {}, + "outputs": [], + "source": [ + "# The packages below may be necessary for users to install according to the imports necessary in the subsequent cells.\n", + "\n", + "#!pip install --upgrade pandas\n", + "#!pip install --upgrade --ignore-installed PyYAML\n", + "#!pip install --upgrade pip\n", + "#!pip install --upgrade gen3 --user --upgrade\n", + "#!pip install cdiserrors\n", + "#!pip install --upgrade pydicom" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "112c887d", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import sys, os, webbrowser\n", + "import gen3\n", + "import pydicom\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "from gen3.submission import Gen3Submission\n", + "from gen3.auth import Gen3Auth\n", + "from io import StringIO\n", + "from gen3.index import Gen3Index\n", + "from expansion import Gen3Exansion\n", + "from gen3.query import Gen3Query" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a005ec13", + "metadata": {}, + "outputs": [], + "source": [ + "# Import some custom Python scripts from personal GitHub repo.\n", + "# Change these directory paths to reflect your local working directory.\n", + "\n", + "home_dir = \"/Users/christopher\" \n", + "demo_dir = \"{}/Documents/Notes/MIDRC/tutorials\".format(home_dir)\n", + "\n", + "os.chdir(demo_dir)\n", + "\n", + "os.system(\"wget https://raw.githubusercontent.com/cgmeyer/gen3sdk-python/master/expansion/expansion.py -O {}/expansion.py\".format(demo_dir))\n", + "%run expansion.py\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e4b39ef9", + "metadata": {}, + "outputs": [], + "source": [ + "# Initiate instances of the Gen3 SDK Classes using credentials file for authentication.\n", + "# Change the directory path in \"cred\" to reflect the location of your credentials file.\n", + "\n", + "api = \"https://data.midrc.org\"\n", + "cred = \"{}/Downloads/midrc-credentials.json\".format(home_dir)\n", + "auth = Gen3Auth(api, refresh_file=cred) # authentication class\n", + "sub = Gen3Submission(api, auth) # submission class\n", + "query = Gen3Query(auth) # query class\n", + "exp = Gen3Expansion(api,auth,sub) # class with some custom scripts\n", + "exp.get_project_ids()\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ab7c8d1a", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "#Function to sort subjects into various age groups\n", + "def age_group(agelist):\n", + " min_age = min(agelist)\n", + " groups = [\"-20 yr\", \"21-30 yr\", \"31-40 yr\", \"41-50 yr\", \"51-60 yr\", \"61-70 yr\", \"71-80 yr\", \"81-90 yr\", \"90+ yr\"]\n", + " grouplist = []\n", + " for i in agelist:\n", + " if i <= 20:\n", + " grouplist.append(groups[0])\n", + " elif i <= 30:\n", + " grouplist.append(groups[1])\n", + " elif i <= 40:\n", + " grouplist.append(groups[2])\n", + " elif i <= 50:\n", + " grouplist.append(groups[3])\n", + " elif i <= 60:\n", + " grouplist.append(groups[4])\n", + " elif i <= 70:\n", + " grouplist.append(groups[5])\n", + " elif i <= 80:\n", + " grouplist.append(groups[6])\n", + " elif i <= 90:\n", + " grouplist.append(groups[7])\n", + " else:\n", + " grouplist.append(groups[8])\n", + " \n", + " return grouplist\n", + "\n", + "#Function to represent various demographics into a precent positivity statistic\n", + "def percent_representation(df, demographic_type, demographics):\n", + "\n", + " positive_df = df[df['covid19_positive'] == 'Yes']\n", + " negative_df = df[df['covid19_positive'] == 'No']\n", + " \n", + " neg_percents = []\n", + " pos_percents = []\n", + " for demo in demographics:\n", + " neg_percents.append(round(len(negative_df[negative_df[demographic_type] == demo])/len(negative_df), 4)*100)\n", + " pos_percents.append(round(len(positive_df[positive_df[demographic_type] == demo])/len(positive_df), 4)*100)\n", + " \n", + " neg = pd.DataFrame()\n", + " pos = pd.DataFrame() \n", + " \n", + " neg[demographic_type] = demographics\n", + " neg['Percent'] = neg_percents\n", + " neg['COVID-19 Status'] = 'Negative'\n", + " \n", + " pos[demographic_type] = demographics\n", + " pos['Percent'] = pos_percents\n", + " pos['COVID-19 Status'] = 'Positive'\n", + " \n", + " return pd.concat([neg, pos])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c4095057", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "#Using the Gen3 connection \"sub\" data for project R1 is downloaded and converted into a data frame\n", + "cases = sub.export_node(program='Open',project='R1',node_type='case',fileformat='tsv')\n", + "df = pd.read_csv(StringIO(cases), sep='\\t', header=0)\n", + "df['zip'] = df['zip'].astype(str)\n", + "df['age_group'] = age_group(df['age_at_index'])\n", + "\n", + "df.loc[df.race == 'Native Hawaiian or other Pacific Islander', 'race'] = 'Pacific Islander'\n", + "df.loc[df.race == 'American Indian or Alaskan Native', 'race'] = 'American Indian' \n", + "df.loc[df.race == 'Black or African American', 'race'] = 'Black or A.A.' \n", + "df = df[['covid19_positive', 'age_group', 'sex', 'ethnicity', 'race']]\n", + "df.head()\n" + ] + }, + { + "cell_type": "markdown", + "id": "91a95e69", + "metadata": {}, + "source": [ + "### Subjects' COVID-19 Status" + ] + }, + { + "cell_type": "markdown", + "id": "ce373785", + "metadata": {}, + "source": [ + "Approximately 22% of the subjects in the Open-R1 dataset were COVID-19 positive at the time of the dataset indexing. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a28b5a37", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "covid_breakdown = {'Number of COVID-19 positive subjects': len(df[df['covid19_positive'] == 'Yes']['covid19_positive']), \n", + " 'Number of COVID-19 negative subjects': len(df[df['covid19_positive'] == 'No']['covid19_positive']), }\n", + "print(covid_breakdown)\n", + "\n", + "print(\"Positivity percentage = {}%\".format(round(list(covid_breakdown.items())[0][1]/list(covid_breakdown.items())[1][1]*100,1)))" + ] + }, + { + "cell_type": "markdown", + "id": "99eed950", + "metadata": {}, + "source": [ + "## Subject Distribution" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "93b2dd2b", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "races = ['Black or A.A.', \n", + " 'White', \n", + " 'Asian', \n", + " 'Pacific Islander', \n", + " 'American Indian', \n", + " 'Other', \n", + " 'Not Reported']\n", + "plot_df = percent_representation(df, 'race', races)\n", + "X = np.arange(len(races))\n", + "\n", + "fig = plt.figure()\n", + "ax = fig.add_axes([0,0,1,1])\n", + "\n", + "ax.bar(X - 0.2, plot_df[plot_df['COVID-19 Status'] == 'Negative']['Percent'], color='b', width=0.4, label='Negative')\n", + "ax.bar(X + 0.2, plot_df[plot_df['COVID-19 Status'] == 'Positive']['Percent'], color='r', width=0.4, label='Positive')\n", + "\n", + "ax.set_xticks(X)\n", + "ax.set_xticklabels(races, rotation=25)\n", + "ax.set_ylabel('Percent')\n", + "ax.set_xlabel('Race')\n", + "ax.set_title('Subject Representation By Race')\n", + "\n", + "ax.legend()\n", + "plt.show() " + ] + }, + { + "cell_type": "markdown", + "id": "10bc59b7", + "metadata": {}, + "source": [ + "Users can examine the ratio of Negative and Positive COVID cases amoungst various demographics. At many points thoughout the first two years of the pandemic, desparities of COVID positivity ratios were often noted. Additionally, since subjects possess the ability to not report their race (Not Reported), differences in positivity ratios can be observed if present." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f1e11218", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "ethnicities = ['Not Hispanic or Latino', 'Hispanic or Latino'] \n", + "\n", + "plot_df = percent_representation(df, 'ethnicity', ethnicities)\n", + "X = np.arange(len(ethnicities))\n", + "\n", + "fig = plt.figure()\n", + "ax = fig.add_axes([0,0,1,1])\n", + "\n", + "ax.bar(X - 0.2, plot_df[plot_df['COVID-19 Status'] == 'Negative']['Percent'], color='b', width=0.4, label='Negative')\n", + "ax.bar(X + 0.2, plot_df[plot_df['COVID-19 Status'] == 'Positive']['Percent'], color='r', width=0.4, label='Positive')\n", + "\n", + "ax.set_xticks(X)\n", + "ax.set_xticklabels(ethnicities, rotation=25)\n", + "ax.set_ylabel('Percent')\n", + "ax.set_xlabel('Ethnicity')\n", + "ax.set_title('Subject Representation By Ethnicity')\n", + "\n", + "ax.legend()\n", + "plt.show() " + ] + }, + { + "cell_type": "markdown", + "id": "b6589c91", + "metadata": { + "tags": [] + }, + "source": [ + "When reduced to only two groups (Not Hispanic or Latino verse Hispanic or Latino), differences in COVID positivity can be observed if present." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "12f528d5", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "sexes = ['Male', 'Female'] \n", + "\n", + "plot_df = percent_representation(df, 'sex', sexes)\n", + "X = np.arange(len(sexes))\n", + "\n", + "fig = plt.figure()\n", + "ax = fig.add_axes([0,0,1,1])\n", + "\n", + "ax.bar(X - 0.2, plot_df[plot_df['COVID-19 Status'] == 'Negative']['Percent'], color='b', width=0.4, label='Negative')\n", + "ax.bar(X + 0.2, plot_df[plot_df['COVID-19 Status'] == 'Positive']['Percent'], color='r', width=0.4, label='Positive')\n", + "\n", + "ax.set_xticks(X)\n", + "ax.set_xticklabels(sexes, rotation=25)\n", + "ax.set_ylabel('Percent')\n", + "ax.set_xlabel('Sex')\n", + "ax.set_title('Subject Representation By Sex')\n", + "\n", + "ax.legend()\n", + "plt.show() " + ] + }, + { + "cell_type": "markdown", + "id": "3834ea41", + "metadata": {}, + "source": [ + "If present, a disparity of COVID positivity can be noted between sexes." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "486dfd08", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "fig = plt.figure()\n", + "ax = fig.add_axes([0,0,1,1])\n", + "\n", + "ages = [\"-20 yr\", \"21-30 yr\", \"31-40 yr\", \"41-50 yr\", \"51-60 yr\", \"61-70 yr\", \"71-80 yr\", \"81-90 yr\", \"90+ yr\"]\n", + "\n", + "plot_df = percent_representation(df, 'age_group', ages)\n", + "X=np.arange(9)\n", + "\n", + "ax.bar(X - 0.2, \n", + " plot_df[plot_df['COVID-19 Status'] == 'Negative']['Percent'], color='b', width=0.4, label='Negative')\n", + "\n", + "ax.bar(X + 0.2, \n", + " plot_df[plot_df['COVID-19 Status'] == 'Positive']['Percent'], color='r', width=0.4, label='Positive')\n", + "ax.set_xticks(X)\n", + "ax.set_xticklabels(ages, rotation=25)\n", + "\n", + "ax.set_ylabel('Percent')\n", + "ax.set_xlabel('Age Group')\n", + "\n", + "ax.set_title('Subject Representation By Age Group')\n", + "\n", + "ax.legend()\n", + "plt.show() " + ] + }, + { + "cell_type": "markdown", + "id": "0112e249", + "metadata": {}, + "source": [ + "The affect age plays in the prevalence of COVID positivity is displayed above. It should be noted that this chart is not normalized by the age distribution of the general population. Typically though, individuals <20 years represent a significant portion of most general populations." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.0" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/jupyter-midrc/combined_demos/MIDRC_Cohort_Building-DLL_RSNA_2023.ipynb b/jupyter-midrc/combined_demos/MIDRC_Cohort_Building-DLL_RSNA_2023.ipynb new file mode 100644 index 00000000..baa1f045 --- /dev/null +++ b/jupyter-midrc/combined_demos/MIDRC_Cohort_Building-DLL_RSNA_2023.ipynb @@ -0,0 +1,622 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "d8ef63c3", + "metadata": {}, + "source": [ + "# Cohort Building Using the MIDRC Data Commons\n", + "---\n", + "This notebook briefly demonstrates how to use the MIDRC open APIs to build a cohort of MIDRC imaging studies using patient clinical data and AI-research-based annotations in the MIDRC data commons and then access and view the X-ray image files associated with those imaging studies.\n", + "\n", + "All cohort selection possible in the [MIDRC data explorer UI](https://data.midrc.org/explorer) can also be achieved programmatically using API requests. In this notebook, we'll select the same cohort as in the data explorer demo detailed in [these slides](https://docs.google.com/presentation/d/1xZ-shCuGVlLpHb2_CwrYvnQZnYZ3QDCcoNfcUvaxTmE/edit?usp=sharing).\n", + "\n", + "by Chris Meyer, PhD\n", + "\n", + "Manager of Data and User Services at the Center for Translational Data Science at University of Chicago\n", + "\n", + "Presented at the MIDRC RSNA 2023 Deep Learning Lab on November 28, 2023\n", + "\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "5db7f87c", + "metadata": {}, + "source": [ + "## 1) Set up Python environment\n", + "---\n" + ] + }, + { + "cell_type": "markdown", + "id": "ffc85bb2-3ed6-4eef-a943-724eef02c41b", + "metadata": {}, + "source": [ + "### Download an API key file containing your credentials\n", + "---\n", + "1) Navigate to the MIDRC data portal in your browser: https://data.midrc.org.\n", + "2) Read and accept the DUA (if you haven't already).\n", + "3) Navigate to the user profile page: https://data.midrc.org/identity\n", + "4) Click on the button \"Create API Key\" and save the `credentials.json` file somewhere safe\n" + ] + }, + { + "cell_type": "markdown", + "id": "1bffd5d4", + "metadata": {}, + "source": [ + "### Set local variables\n", + "---\n", + "Change the following `cred` variable path to point to your credentials file downloaded from the MIDRC data portal following the instructions above." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c3c59c2c", + "metadata": {}, + "outputs": [], + "source": [ + "cred = \"/Users/christopher/Downloads/midrc-credentials.json\" # location of your MIDRC credentials, downloaded from https://data.midrc.org/identity by clicking \"Create API key\" button and saving the credentials.json locally\n", + "api = \"https://data.midrc.org\" # The base URL of the data commons being queried. This shouldn't change for MIDRC.\n" + ] + }, + { + "cell_type": "markdown", + "id": "7962e54c", + "metadata": {}, + "source": [ + "### Install / Import Python Packages and Scripts" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8e1a7935", + "metadata": {}, + "outputs": [], + "source": [ + "## The packages below may be necessary for users to install according to the imports necessary in the subsequent cells.\n", + "\n", + "import sys\n", + "#!{sys.executable} -m pip install\n", + "#!{sys.executable} -m pip install --upgrade pandas\n", + "#!{sys.executable} -m pip install --upgrade --ignore-installed PyYAML\n", + "#!{sys.executable} -m pip install --upgrade pip\n", + "#!{sys.executable} -m pip install --upgrade gen3\n", + "#!{sys.executable} -m pip install pydicom\n", + "#!{sys.executable} -m pip install --upgrade Pillow\n", + "#!{sys.executable} -m pip install psmpy\n", + "#!{sys.executable} -m pip install python-gdcm --upgrade\n", + "#!{sys.executable} -m pip install pylibjpeg --upgrade" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7ea2fa09", + "metadata": {}, + "outputs": [], + "source": [ + "## Import Python Packages and scripts\n", + "\n", + "import os, subprocess\n", + "import pandas as pd\n", + "import numpy as np\n", + "import pydicom\n", + "from PIL import Image\n", + "import glob\n", + "#import gdcm\n", + "#import pylibjpeg\n", + "\n", + "# import some Gen3 packages\n", + "import gen3\n", + "from gen3.auth import Gen3Auth\n", + "from IPython.display import display\n", + "from gen3.query import Gen3Query\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "7784ecc9", + "metadata": {}, + "source": [ + "### Initiate instances of the Gen3 SDK Classes using credentials file for authentication\n", + "---\n", + "Again, make sure the \"cred\" directory path variable reflects the location of your credentials file (path variables set above)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d316dcdf", + "metadata": {}, + "outputs": [], + "source": [ + "auth = Gen3Auth(api, refresh_file=cred) # authentication class\n", + "query = Gen3Query(auth) # query class\n" + ] + }, + { + "cell_type": "markdown", + "id": "2ea96784-3370-46a6-a2c7-edda947bfa8f", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "source": [ + "## 2) Build Cohorts by Sending Queries to the MIDRC APIs\n", + "#### General notes on sending queries:\n", + "* There are many ways to query and access metadata for cohort building in MIDRC, but this notebook will focus on using the [Gen3](https://gen3.org) graphQL query service [\"guppy\"](https://github.com/uc-cdis/guppy/#readme). This is the backend query service that [MIDRC's data explorer GUI](https://data.midrc.org/explorer) uses. So, anything you can do in the explorer GUI, you can do with guppy queries, and more!\n", + "* The guppy graphQL service has more functionality than is demonstrated in this simple example. You can find extensive documentation in GitHub [here](https://github.com/uc-cdis/guppy/blob/master/doc/queries.md) in case you'd like to build your own queries from scratch.\n", + "* The Gen3 SDK (intialized as `query` above in this notebook) has Python wrapper scripts to make sending queries to the guppy graphQL API simpler. The guppy SDK package can be viewed in GitHub [here](https://github.com/uc-cdis/gen3sdk-python/blob/master/gen3/query.py).\n", + "* Guppy queries focus on a particular type of data (cases, imaging studies, files, etc.), which corresponds to the major tabs in [MIDRC's data explorer GUI](https://data.midrc.org/explorer).\n", + "* Queries include arguments that are akin to selecting filter values in [MIDRC's data explorer GUI](https://data.midrc.org/explorer).\n", + "* To see more documentation about how to use and combine filters with various operator logic (like AND/OR/IN, etc.) see [this page](https://github.com/uc-cdis/guppy/blob/master/doc/queries.md#filter).\n", + "\n", + "---\n" + ] + }, + { + "cell_type": "markdown", + "id": "3e4a624e-f769-46a9-b76c-2efe9713bf61", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "source": [ + "#### Set query parameters\n", + "---\n", + "* Here, we'll send a query to the `imaging_study` guppy index, which corresponds to the \"Imaging Studies\" tab of [MIDRC's data explorer GUI](https://data.midrc.org/explorer).\n", + "* The filters defined below can be modified to return different subsets of imaging studies. Here, we'll use rather restrictive parameters so the number of studies returned is small for demonstration purposes.\n", + "* If our query request is successful, the API response should be in JSON format, and it should contain a list of patient IDs along with any other patient data we ask for.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9bc4a36e-0647-4546-9777-6d0ad7b32750", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "outputs": [], + "source": [ + "### Set some \"imaging_study\" query parameters\n", + "\n", + "## mRALE filter: we'll select all imaging studies annotated with an mRALE score greater than or equal to this threshold number\n", + "mRALE_threshold = 20\n", + "\n", + "## days from study to positive COVID-19 test filter: we want imaging studies performed within two days after a positive test\n", + "min_days_from_study_to_test = -2\n", + "max_days_from_study_to_test = 0\n", + "\n", + "## Imaging study modality filter: we select imaging studies with a modality of either DX or CR\n", + "study_modalities = [\"DX\", \"CR\"]\n", + "\n", + "## Imaging study body part filter: here we select \"chest\" as the \"LOINC system\" filter, which is the body part examined\n", + "body_part_examined = \"Chest\"\n", + "\n", + "## Case filters: we will select Hispanic males 70 years of age and older\n", + "ethnicity = \"Hispanic or Latino\"\n", + "sex = \"Male\"\n", + "age_threshold = 70" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8910b3e4", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "outputs": [], + "source": [ + "## Note: the \"fields\" option defines what fields we want the query to return. If set to \"None\", returns all available fields.\n", + "\n", + "imaging_studies = query.raw_data_download(\n", + " data_type=\"imaging_study\",\n", + " fields=None,\n", + " filter_object={\n", + " \"AND\": [\n", + " {\"=\": {\"loinc_system\": body_part_examined}},\n", + " {\"=\": {\"sex\": sex}},\n", + " {\"=\": {\"ethnicity\": ethnicity}},\n", + " {\">=\": {\"age_at_index\": age_threshold}},\n", + " {\"IN\": {\"study_modality\": study_modalities}},\n", + " {\"nested\": {\"path\": \"imaging_study_annotations\", \">=\": {\"midrc_mRALE_score\": mRALE_threshold}}},\n", + " {\"AND\": [\n", + " {\">=\": {\"days_from_study_to_pos_covid_test\": min_days_from_study_to_test}}, \n", + " {\"<=\": {\"days_from_study_to_pos_covid_test\": max_days_from_study_to_test}} \n", + " ]}\n", + " ]\n", + " },\n", + " sort_fields=[{\"submitter_id\": \"asc\"}]\n", + " )\n", + "\n", + "if len(imaging_studies) > 0 and \"submitter_id\" in imaging_studies[0]:\n", + " imaging_studies_ids = [i['submitter_id'] for i in imaging_studies] ## make a list of the imaging study IDs returned\n", + " print(\"Query returned {} study IDs.\".format(len(imaging_studies)))\n", + " print(\"Data is a list with rows like this:\\n\\t {}\".format(imaging_studies[0:1]))\n", + "else:\n", + " print(\"Your query returned no data! Please, check that query parameters are valid.\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "33093eff-621f-452b-a0af-89af1940c65f", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "outputs": [], + "source": [ + "imaging_studies_df = pd.DataFrame(imaging_studies)\n", + "display(imaging_studies_df)\n" + ] + }, + { + "cell_type": "markdown", + "id": "2c0f29ab-ab87-4fe5-859b-d5158c0fa3d7", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "source": [ + "## 3) Send another query to get data file details for our cohort / case ID\n", + "---\n", + "The `object_id` field in each imaging study record above contains the file identifiers for all files associated with each imaging study, which could include files like third-party annotations. If we simply want to access all files associated with our list of cases, we can use those object_ids. \n", + "\n", + "However, in this example, we'll ask for specific types of files and get more detailed information about each of the files. This is achieved by querying the `data_file` guppy index, which corresponds to the \"Data Files\" tab of the MIDRC data explorer GUID. \n", + "\n", + "All MIDRC data files, including both images and annotations, are listed in the guppy index \"data_file\", which is queried in a similar manner to our query of the `imaging_study` index above. The query parameter `data_type` below determines which guppy (Elasticsearch) index we're querying.\n", + "\n", + "To get only `data_file` records that correspond to our imaging study cohort built previously, we'll use the list of study UIDs as a query filter. \n" + ] + }, + { + "cell_type": "markdown", + "id": "2959c0ed-adde-4f34-8308-ca0f61c599cf", + "metadata": {}, + "source": [ + "### Set 'data_file' query parameters\n", + "---\n", + "Here, we'll utilize the property `source_node` to filter the list of files for our cohort to only those matching the type of files we're interested in. In this example, we ask only for CR and DX (x-ray) images, which will exclude any other types of files like annotations.\n", + "\n", + "We're also using the property `study_uid` as a filter to restrict the `data_file` records returned down to those associated with the imaging studies in our cohort built above. \n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "07f33bd1-7393-4e0a-902a-771783568280", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "outputs": [], + "source": [ + "# Build a list of study UIDs to use as a filter in our data_file query\n", + "study_uids = [i['study_uid'] for i in imaging_studies]\n", + "study_uids" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2efabbc8-c9cb-481a-9847-50659918b6d7", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "outputs": [], + "source": [ + "# Choose the types of data we want using \"source_node\" as a filter\n", + "source_nodes = [\"cr_series_file\",\"dx_series_file\"]\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d3a2b920-15d0-4399-ab2d-4faa2748a314", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "outputs": [], + "source": [ + "## Search for specific files associated with our cohort by adding \"study_uid\" as a filter\n", + "# * Note: \"fields\" is set to \"None\" in this query, which by default returns all the properties available\n", + "data_files = query.raw_data_download(\n", + " data_type=\"data_file\",\n", + " fields=None,\n", + " filter_object={\n", + " \"AND\": [\n", + " {\"IN\": {\"study_uid\": study_uids}},\n", + " {\"IN\": {\"source_node\": source_nodes}},\n", + " ]\n", + " },\n", + " sort_fields=[{\"submitter_id\": \"asc\"}]\n", + " )\n", + "\n", + "if len(data_files) > 0:\n", + " object_ids = [i['object_id'] for i in data_files if 'object_id' in i] ## make a list of the file object_ids returned by our query\n", + " print(\"Query returned {} data files with {} object_ids.\".format(len(data_files),len(object_ids)))\n", + " print(\"Data is a list with rows like this:\\n\\t {}\".format(data_files[0:1]))\n", + "else:\n", + " print(\"Your query returned no data! Please, check that query parameters are valid.\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "972b4805-61a3-4c22-8339-93878f201e46", + "metadata": {}, + "outputs": [], + "source": [ + "# object_id (AKA \"data GUID\") is a globally unique file identifier that points to an actual file object in cloud storage. We'll use the object_ids along with the gen3 command-line tool to download the files these object_ids point to.\n", + "object_ids\n" + ] + }, + { + "cell_type": "markdown", + "id": "81e35d9b-e8ec-4fc0-9d3c-7485446c15f3", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "source": [ + "## 4) Access data files using their object_id / data GUID (globally unique identifiers)\n", + "---\n", + "In order to download files stored in MIDRC, users need to reference the file's object_id (AKA data GUID or Globally Unique IDentifier).\n", + "\n", + "Once we have a list of GUIDs we want to download, we can use either the gen3-client or the gen3 SDK to download the files. You can also access individual files in your browser after logging-in and entering the GUID after the `files/` endpoint, as in this URL: https://data.midrc.org/files/GUID\n", + "\n", + "where GUID is the actual GUID, e.g.: https://data.midrc.org/files/dg.MD1R/b87d0db3-d95a-43c7-ace1-ab2c130e04ec\n", + "\n", + "For instructions on how to install and use the gen3-client, please see [the MIDRC quick-start guide](https://data.midrc.org/dashboard/Public/documentation/Gen3_MIDRC_GetStarted.pdf), which can be found linked here and in the MIDRC data portal header as \"Get Started\".\n", + "\n", + "Below we use the gen3 SDK command `gen3 drs-pull object` which is [documented in detail here](https://github.com/uc-cdis/gen3sdk-python/blob/master/docs/howto/drsDownloading.md)." + ] + }, + { + "cell_type": "markdown", + "id": "8449f221-1d8d-4501-86af-111111fc7bf3", + "metadata": {}, + "source": [ + "### Use the Gen3 SDK command `gen3 drs-pull object` to download an individual file" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f3462219-202b-4d59-9a3d-14cbdecab77b", + "metadata": {}, + "outputs": [], + "source": [ + "## Make a new directory for downloaded files\n", + "os.system(\"rm -r downloads\")\n", + "os.system(\"mkdir -p downloads\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5b156930-805f-4562-aea7-62798b13e46b", + "metadata": {}, + "outputs": [], + "source": [ + "## We can use a simple loop to download all files and keep track of successes and failures\n", + "\n", + "success,failure,other=[],[],[]\n", + "count,total = 0,len(object_ids)\n", + "for object_id in object_ids:\n", + " count+=1\n", + " cmd = \"gen3 --auth {} --endpoint data.midrc.org drs-pull object {} --output-dir downloads\".format(cred,object_id)\n", + " stout = subprocess.run(cmd, shell=True, capture_output=True)\n", + " print(\"Progress ({}/{}): {}\".format(count,total,stout.stdout))\n", + " if \"failed\" in str(stout.stdout):\n", + " failure.append(object_id)\n", + " elif \"successfully\" in str(stout.stdout):\n", + " success.append(object_id)\n", + " else:\n", + " other.append(object_id)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cd0ebe63-380a-4606-8285-5736ec87ffee", + "metadata": {}, + "outputs": [], + "source": [ + "# Get a list of all downloaded .dcm files\n", + "image_files = glob.glob(pathname='**/*.dcm',recursive=True,)\n", + "image_files" + ] + }, + { + "cell_type": "markdown", + "id": "d53c1364-aba9-461f-a0f9-e7730875a339", + "metadata": {}, + "source": [ + "### View the DICOM Images\n", + "---\n", + "Here we'll use the [Python package `pydicom`](https://pydicom.github.io/pydicom/stable/) to view the downloaded DICOM images. \n", + "\n", + "Note that some of the files may contain compressed pixel data that require other packages to view; so, for this demo we'll simply skip over those using the following loop." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "533ce308-3618-47b2-bae1-ad4681feab02", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "for image_file in image_files:\n", + " print(image_file)\n", + " ds = pydicom.dcmread(image_file)\n", + " try:\n", + " new_image = ds.pixel_array.astype(float)\n", + " scaled_image = (np.maximum(new_image, 0) / new_image.max()) * 255.0\n", + " scaled_image = np.uint8(scaled_image)\n", + " final_image = Image.fromarray(scaled_image)\n", + " print(type(final_image))\n", + " display(final_image)\n", + " except Exception as e:\n", + " print(\"Couldn't view {}: {}.\".format(image_file,e))" + ] + }, + { + "cell_type": "markdown", + "id": "60bb7027-7fb3-47cb-8b4b-2d084287fc20", + "metadata": {}, + "source": [ + "#### View the DICOM Headers\n", + "---\n", + "DICOM files have metadata elements embedded in the images. These can also be read and viewed using the `pydicom` package." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a1bbb4c1-9ab6-4260-904e-977836b57a01", + "metadata": {}, + "outputs": [], + "source": [ + "ds = pydicom.dcmread(image_files[0],force=True)\n", + "display(ds)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4dec9bce-7f8f-48ee-abe1-6bc380d923c3", + "metadata": {}, + "outputs": [], + "source": [ + "# Access individual elements\n", + "display(ds.file_meta)\n", + "display(ds.ImageType)\n", + "display(ds[0x0008, 0x0016])\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ecceb434-83f2-45f1-b1f0-7e1c58fafde9", + "metadata": {}, + "outputs": [], + "source": [ + "# View the dicom metadata for all files as a DataFrame\n", + "dfs = []\n", + "for image_file in image_files:\n", + " ds = pydicom.dcmread(image_file)\n", + " df = pd.DataFrame(ds.values())\n", + " df[0] = df[0].apply(lambda x: pydicom.dataelem.DataElement_from_raw(x) if isinstance(x, pydicom.dataelem.RawDataElement) else x)\n", + " df['name'] = df[0].apply(lambda x: x.name)\n", + " df['value'] = df[0].apply(lambda x: x.value)\n", + " df = df[['name', 'value']]\n", + " df = df.set_index('name').T.reset_index(drop=True)\n", + " df['filename'] = image_file\n", + " df.drop(columns=['Pixel Data'],inplace=True) # drop the pixel data as it's too large and nonsensical to store in a DataFrame\n", + " dfs.append(df)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3e55cd95-570b-42d0-80cd-fb47693c49dd", + "metadata": {}, + "outputs": [], + "source": [ + "# Make a master dataframe for all images using only headers in all dataframes\n", + "headers = list(set.intersection(*map(set,dfs)))\n", + "df = pd.concat([df[headers] for df in dfs])\n", + "df.set_index('filename',inplace=True)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c54f11af-4b8c-4744-bc88-6cd2ced7e102", + "metadata": {}, + "outputs": [], + "source": [ + "display(df)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5b991196-5298-43b6-987a-90de9bf308e5", + "metadata": {}, + "outputs": [], + "source": [ + "## Export the file metadata as a TSV file\n", + "filename = \"MIDRC_DICOM_metadata.tsv\"\n", + "df.to_csv(filename, sep='\\t')\n" + ] + }, + { + "cell_type": "markdown", + "id": "544761e9", + "metadata": {}, + "source": [ + "## The End\n", + "---\n", + "If you have any questions related to this notebook don't hesitate to reach out to the MIDRC Helpdesk at midrc-support@datacommons.io or the author directly at cgmeyer@uchicago.edu\n", + "\n", + "Happy data wrangling!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f6691638", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.0" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/jupyter-midrc/combined_demos/MIDRC_Cohort_Building_DLL_RSNA_2024.ipynb b/jupyter-midrc/combined_demos/MIDRC_Cohort_Building_DLL_RSNA_2024.ipynb new file mode 100644 index 00000000..a932a8a4 --- /dev/null +++ b/jupyter-midrc/combined_demos/MIDRC_Cohort_Building_DLL_RSNA_2024.ipynb @@ -0,0 +1,896 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "d8ef63c3", + "metadata": { + "id": "d8ef63c3" + }, + "source": [ + "# Cohort Building Using the MIDRC Data Commons and Biomedical Imaging Hub\n", + "---\n", + "This notebook briefly demonstrates how to use the MIDRC open APIs to build a cohort of MIDRC imaging studies using patient clinical data and AI-research-based annotations in the MIDRC data commons and then access and view the X-ray image files associated with those imaging studies.\n", + "\n", + "It also demonstrates how to use the MIDRC Biomedical Imaging Hub (BIH) open metadata APIs to discover images across the Biomedical Data Fabric (BDF), including those in data resources other than the MIDRC data commons.\n", + "\n", + "All cohort selection possible in the [MIDRC data explorer UI](https://data.midrc.org/explorer) and the [MIDRC BIH Explorer](https://imaging-hub.data-commons.org/Explorer) can also be achieved programmatically using API requests. In this notebook, we'll select the same cohort as in the data explorer demo detailed in [these slides](https://docs.google.com/presentation/d/1cMKyl-QWa2oM9HFnr0F7D83JaPx74GyFErz7O-gJjas/edit?usp=sharing).\n", + "\n", + "by Chris Meyer, PhD\n", + "\n", + "Manager of Data and User Services at the Center for Translational Data Science at University of Chicago\n", + "\n", + "Presented at the MIDRC RSNA 2024 Deep Learning Lab on December 2, 2024" + ] + }, + { + "cell_type": "markdown", + "id": "5db7f87c", + "metadata": { + "id": "5db7f87c" + }, + "source": [ + "## 1) Set up Python environment\n", + "---\n" + ] + }, + { + "cell_type": "markdown", + "id": "ffc85bb2-3ed6-4eef-a943-724eef02c41b", + "metadata": { + "id": "ffc85bb2-3ed6-4eef-a943-724eef02c41b" + }, + "source": [ + "### Download an API key file containing your credentials\n", + "---\n", + "1) Navigate to the MIDRC data portal in your browser: https://data.midrc.org.\n", + "2) Read and accept the DUA (if you haven't already).\n", + "3) Navigate to the user profile page: https://data.midrc.org/identity\n", + "4) Click on the button \"Create API Key\" and save the `credentials.json` file somewhere safe\n" + ] + }, + { + "cell_type": "markdown", + "id": "1bffd5d4", + "metadata": { + "id": "1bffd5d4" + }, + "source": [ + "### Set local variables\n", + "---\n", + "Change the following `cred` variable path to point to your credentials file downloaded from the MIDRC data portal following the instructions above." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c3c59c2c", + "metadata": { + "id": "c3c59c2c" + }, + "outputs": [], + "source": [ + "cred = \"/content/midrc-credentials.json\" # location of your MIDRC credentials, downloaded from https://data.midrc.org/identity by clicking \"Create API key\" button and saving the credentials.json locally\n", + "api = \"https://data.midrc.org\" # The base URL of the data commons being queried. This shouldn't change for MIDRC.\n" + ] + }, + { + "cell_type": "markdown", + "id": "7962e54c", + "metadata": { + "id": "7962e54c" + }, + "source": [ + "### Install / Import Python Packages and Scripts" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8e1a7935", + "metadata": { + "id": "8e1a7935" + }, + "outputs": [], + "source": [ + "## The packages below may be necessary for users to install according to the imports necessary in the subsequent cells.\n", + "\n", + "import sys\n", + "#!{sys.executable} -m pip install\n", + "#!{sys.executable} -m pip install --upgrade pandas\n", + "#!{sys.executable} -m pip install --upgrade --ignore-installed PyYAML\n", + "#!{sys.executable} -m pip install --upgrade pip\n", + "!{sys.executable} -m pip install --upgrade gen3\n", + "!{sys.executable} -m pip install pydicom\n", + "#!{sys.executable} -m pip install --upgrade Pillow\n", + "#!{sys.executable} -m pip install psmpy\n", + "#!{sys.executable} -m pip install python-gdcm --upgrade\n", + "#!{sys.executable} -m pip install pylibjpeg --upgrade" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7ea2fa09", + "metadata": { + "id": "7ea2fa09" + }, + "outputs": [], + "source": [ + "## Import Python Packages and scripts\n", + "\n", + "import os, subprocess\n", + "import pandas as pd\n", + "import numpy as np\n", + "import pydicom\n", + "from PIL import Image\n", + "import glob\n", + "#import gdcm\n", + "#import pylibjpeg\n", + "\n", + "# import some Gen3 packages\n", + "import gen3\n", + "from gen3.auth import Gen3Auth\n", + "from gen3.query import Gen3Query\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "7784ecc9", + "metadata": { + "id": "7784ecc9" + }, + "source": [ + "### Initiate instances of the Gen3 SDK Classes using credentials file for authentication\n", + "---\n", + "Again, make sure the \"cred\" directory path variable reflects the location of your credentials file (path variables set above)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d316dcdf", + "metadata": { + "id": "d316dcdf" + }, + "outputs": [], + "source": [ + "auth = Gen3Auth(api, refresh_file=cred) # authentication class\n", + "query = Gen3Query(auth) # query class\n" + ] + }, + { + "cell_type": "markdown", + "id": "2ea96784-3370-46a6-a2c7-edda947bfa8f", + "metadata": { + "id": "2ea96784-3370-46a6-a2c7-edda947bfa8f" + }, + "source": [ + "## 2) Build Cohorts by Sending Queries to the MIDRC APIs\n", + "#### General notes on sending queries:\n", + "* There are many ways to query and access metadata for cohort building in MIDRC, but this notebook will focus on using the [Gen3](https://gen3.org) graphQL query service [\"guppy\"](https://github.com/uc-cdis/guppy/#readme). This is the backend query service that [MIDRC's data explorer GUI](https://data.midrc.org/explorer) uses. So, anything you can do in the explorer GUI, you can do with guppy queries, and more!\n", + "* The guppy graphQL service has more functionality than is demonstrated in this simple example. You can find extensive documentation in GitHub [here](https://github.com/uc-cdis/guppy/blob/master/doc/queries.md) in case you'd like to build your own queries from scratch.\n", + "* The Gen3 SDK (intialized as `query` above in this notebook) has Python wrapper scripts to make sending queries to the guppy graphQL API simpler. The guppy SDK package can be viewed in GitHub [here](https://github.com/uc-cdis/gen3sdk-python/blob/master/gen3/query.py).\n", + "* Guppy queries focus on a particular type of data (cases, imaging studies, files, etc.), which corresponds to the major tabs in [MIDRC's data explorer GUI](https://data.midrc.org/explorer).\n", + "* Queries include arguments that are akin to selecting filter values in [MIDRC's data explorer GUI](https://data.midrc.org/explorer).\n", + "* To see more documentation about how to use and combine filters with various operator logic (like AND/OR/IN, etc.) see [this page](https://github.com/uc-cdis/guppy/blob/master/doc/queries.md#filter).\n", + "\n", + "---\n" + ] + }, + { + "cell_type": "markdown", + "id": "3e4a624e-f769-46a9-b76c-2efe9713bf61", + "metadata": { + "id": "3e4a624e-f769-46a9-b76c-2efe9713bf61" + }, + "source": [ + "#### Set query parameters\n", + "---\n", + "* Here, we'll send a query to the `imaging_study` guppy index, which corresponds to the \"Imaging Studies\" tab of [MIDRC's data explorer GUI](https://data.midrc.org/explorer).\n", + "* The filters defined below can be modified to return different subsets of imaging studies. Here, we'll use rather restrictive parameters so the number of studies returned is small for demonstration purposes.\n", + "* If our query request is successful, the API response should be in JSON format, and it should contain a list of imaging study UIDs along with any other study-related data we ask for.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9bc4a36e-0647-4546-9777-6d0ad7b32750", + "metadata": { + "id": "9bc4a36e-0647-4546-9777-6d0ad7b32750" + }, + "outputs": [], + "source": [ + "### Set some \"imaging_study\" query parameters\n", + "\n", + "## mRALE filter: we'll select all imaging studies annotated with an mRALE score greater than or equal to this threshold number\n", + "mRALE_threshold = 20\n", + "\n", + "## days from study to positive COVID-19 test filter: we want imaging studies performed within two days after a positive test\n", + "min_days_from_study_to_test = -2\n", + "max_days_from_study_to_test = 0\n", + "\n", + "## Imaging study modality filter: we select imaging studies with a modality of either DX or CR\n", + "study_modalities = [\"DX\", \"CR\"]\n", + "\n", + "## Imaging study body part filter: here we select \"chest\" as the \"LOINC system\" filter, which is the body part examined\n", + "body_part_examined = \"Chest\"\n", + "\n", + "## Case filters: we will select Hispanic males 70 years of age and older\n", + "ethnicity = \"Hispanic or Latino\"\n", + "sex = \"Male\"\n", + "age_threshold = 70" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8910b3e4", + "metadata": { + "id": "8910b3e4" + }, + "outputs": [], + "source": [ + "## Note: the \"fields\" option defines what fields we want the query to return. If set to \"None\", returns all available fields.\n", + "\n", + "imaging_studies = query.raw_data_download(\n", + " data_type=\"imaging_study\",\n", + " fields=None,\n", + " filter_object={\n", + " \"AND\": [\n", + " {\"=\": {\"loinc_system\": body_part_examined}},\n", + " {\"=\": {\"sex\": sex}},\n", + " {\"=\": {\"ethnicity\": ethnicity}},\n", + " {\">=\": {\"age_at_index\": age_threshold}},\n", + " {\"IN\": {\"study_modality\": study_modalities}},\n", + " {\"nested\": {\"path\": \"imaging_study_annotations\", \">=\": {\"midrc_mRALE_score\": mRALE_threshold}}},\n", + " {\"AND\": [\n", + " {\">=\": {\"days_from_study_to_pos_covid_test\": min_days_from_study_to_test}},\n", + " {\"<=\": {\"days_from_study_to_pos_covid_test\": max_days_from_study_to_test}}\n", + " ]}\n", + " ]\n", + " },\n", + " sort_fields=[{\"submitter_id\": \"asc\"}]\n", + " )\n", + "\n", + "if len(imaging_studies) > 0:\n", + " imaging_studies_ids = [i['submitter_id'] for i in imaging_studies if 'submitter_id' in i] ## make a list of the imaging study IDs returned\n", + " print(\"Query returned {} study IDs from {} cases.\".format(len(imaging_studies),len(set([i['case_ids'][0] for i in imaging_studies if 'case_ids' in i]))))\n", + " print(\"Data is a list with rows like this:\\n\\t {}\".format(imaging_studies[0:1]))\n", + "else:\n", + " print(\"Your query returned no data! Please, check that query parameters are valid.\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "33093eff-621f-452b-a0af-89af1940c65f", + "metadata": { + "id": "33093eff-621f-452b-a0af-89af1940c65f" + }, + "outputs": [], + "source": [ + "imaging_studies_df = pd.DataFrame(imaging_studies)\n", + "display(imaging_studies_df)\n" + ] + }, + { + "cell_type": "markdown", + "id": "2c0f29ab-ab87-4fe5-859b-d5158c0fa3d7", + "metadata": { + "id": "2c0f29ab-ab87-4fe5-859b-d5158c0fa3d7" + }, + "source": [ + "## 3) Send another query to get data file details for our cohort / case ID\n", + "---\n", + "The `object_id` field in each imaging study record above contains the file identifiers for all files associated with each imaging study, which could include files like third-party annotations. If we simply want to access all files associated with our list of cases, we can use those object_ids.\n", + "\n", + "However, in this example, we'll ask for specific types of files and get more detailed information about each of the files. This is achieved by querying the `data_file` guppy index, which corresponds to the \"Data Files\" tab of the MIDRC data explorer GUID.\n", + "\n", + "All MIDRC data files, including both images and annotations, are listed in the guppy index \"data_file\", which is queried in a similar manner to our query of the `imaging_study` index above. The query parameter `data_type` below determines which guppy (Elasticsearch) index we're querying.\n", + "\n", + "To get only `data_file` records that correspond to our imaging study cohort built previously, we'll use the list of study UIDs as a query filter.\n" + ] + }, + { + "cell_type": "markdown", + "id": "2959c0ed-adde-4f34-8308-ca0f61c599cf", + "metadata": { + "id": "2959c0ed-adde-4f34-8308-ca0f61c599cf" + }, + "source": [ + "### Set 'data_file' query parameters\n", + "---\n", + "Here, we'll utilize the property `source_node` to filter the list of files for our cohort to only those matching the type of files we're interested in. In this example, we ask only for CR and DX (x-ray) images, which will exclude any other types of files like annotations.\n", + "\n", + "We're also using the property `study_uid` as a filter to restrict the `data_file` records returned down to those associated with the imaging studies in our cohort built above.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "07f33bd1-7393-4e0a-902a-771783568280", + "metadata": { + "id": "07f33bd1-7393-4e0a-902a-771783568280" + }, + "outputs": [], + "source": [ + "# Build a list of study UIDs to use as a filter in our data_file query\n", + "study_uids = [i['study_uid'] for i in imaging_studies]\n", + "study_uids" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2efabbc8-c9cb-481a-9847-50659918b6d7", + "metadata": { + "id": "2efabbc8-c9cb-481a-9847-50659918b6d7" + }, + "outputs": [], + "source": [ + "# Choose the types of data we want using \"source_node\" as a filter\n", + "source_nodes = [\"cr_series_file\",\"dx_series_file\"]\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d3a2b920-15d0-4399-ab2d-4faa2748a314", + "metadata": { + "id": "d3a2b920-15d0-4399-ab2d-4faa2748a314" + }, + "outputs": [], + "source": [ + "## Search for specific files associated with our cohort by adding \"study_uid\" as a filter\n", + "# * Note: \"fields\" is set to \"None\" in this query, which by default returns all the properties available\n", + "data_files = query.raw_data_download(\n", + " data_type=\"data_file\",\n", + " fields=None,\n", + " filter_object={\n", + " \"AND\": [\n", + " {\"IN\": {\"study_uid\": study_uids}},\n", + " {\"IN\": {\"source_node\": source_nodes}},\n", + " ]\n", + " },\n", + " sort_fields=[{\"submitter_id\": \"asc\"}]\n", + " )\n", + "\n", + "if len(data_files) > 0:\n", + " object_ids = [i['object_id'] for i in data_files if 'object_id' in i] ## make a list of the file object_ids returned by our query\n", + " cases = list(set([i['case_ids'][0] for i in data_files if 'case_ids' in i]))\n", + " studies = list(set([i['study_uid'][0] for i in data_files if 'study_uid' in i]))\n", + " print(\"Query returned {} data files with {} object_ids from {} studies of {} cases.\".format(len(data_files),len(object_ids),len(studies),len(cases)))\n", + " print(\"Data is a list with rows like this:\\n\\t {}\".format(data_files[0:1]))\n", + "else:\n", + " print(\"Your query returned no data! Please, check that query parameters are valid.\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "972b4805-61a3-4c22-8339-93878f201e46", + "metadata": { + "id": "972b4805-61a3-4c22-8339-93878f201e46" + }, + "outputs": [], + "source": [ + "# object_id (AKA \"data GUID\") is a globally unique file identifier that points to an actual file object in cloud storage. We'll use the object_ids along with the gen3 command-line tool to download the files these object_ids point to.\n", + "object_ids\n" + ] + }, + { + "cell_type": "markdown", + "id": "81e35d9b-e8ec-4fc0-9d3c-7485446c15f3", + "metadata": { + "id": "81e35d9b-e8ec-4fc0-9d3c-7485446c15f3" + }, + "source": [ + "## 4) Access data files using their object_id / data GUID (globally unique identifiers)\n", + "---\n", + "In order to download files stored in MIDRC, users need to reference the file's object_id (AKA data GUID or Globally Unique IDentifier).\n", + "\n", + "Once we have a list of GUIDs we want to download, we can use either the gen3-client or the gen3 SDK to download the files. You can also access individual files in your browser after logging-in and entering the GUID after the `files/` endpoint, as in this URL: https://data.midrc.org/files/GUID\n", + "\n", + "where GUID is the actual GUID, e.g.: https://data.midrc.org/files/dg.MD1R/b87d0db3-d95a-43c7-ace1-ab2c130e04ec\n", + "\n", + "For instructions on how to install and use the gen3-client, please see [the MIDRC quick-start guide](https://data.midrc.org/dashboard/Public/documentation/Gen3_MIDRC_GetStarted.pdf), which can be found linked here and in the MIDRC data portal header as \"Get Started\".\n", + "\n", + "Below we use the gen3 SDK command `gen3 drs-pull object` which is [documented in detail here](https://github.com/uc-cdis/gen3sdk-python/blob/master/docs/howto/drsDownloading.md)." + ] + }, + { + "cell_type": "markdown", + "id": "8449f221-1d8d-4501-86af-111111fc7bf3", + "metadata": { + "id": "8449f221-1d8d-4501-86af-111111fc7bf3" + }, + "source": [ + "### Use the Gen3 SDK command `gen3 drs-pull object` to download an individual file" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f3462219-202b-4d59-9a3d-14cbdecab77b", + "metadata": { + "id": "f3462219-202b-4d59-9a3d-14cbdecab77b" + }, + "outputs": [], + "source": [ + "## Make a new directory for downloaded files\n", + "os.system(\"rm -r downloads\")\n", + "os.system(\"mkdir -p downloads\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5b156930-805f-4562-aea7-62798b13e46b", + "metadata": { + "id": "5b156930-805f-4562-aea7-62798b13e46b" + }, + "outputs": [], + "source": [ + "## We can use a simple loop to download all files and keep track of successes and failures\n", + "\n", + "success,failure,other=[],[],[]\n", + "count,total = 0,len(object_ids)\n", + "for object_id in object_ids:\n", + " count+=1\n", + " cmd = \"gen3 --auth {} --endpoint data.midrc.org drs-pull object {} --output-dir downloads\".format(cred,object_id)\n", + " stout = subprocess.run(cmd, shell=True, capture_output=True)\n", + " print(\"Progress ({}/{}): {}\".format(count,total,stout.stdout))\n", + " if \"failed\" in str(stout.stdout):\n", + " failure.append(object_id)\n", + " elif \"successfully\" in str(stout.stdout):\n", + " success.append(object_id)\n", + " else:\n", + " other.append(object_id)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cd0ebe63-380a-4606-8285-5736ec87ffee", + "metadata": { + "id": "cd0ebe63-380a-4606-8285-5736ec87ffee" + }, + "outputs": [], + "source": [ + "# Get a list of all downloaded .dcm files\n", + "image_files = glob.glob(pathname='**/*.dcm',recursive=True,)\n", + "image_files" + ] + }, + { + "cell_type": "markdown", + "id": "d53c1364-aba9-461f-a0f9-e7730875a339", + "metadata": { + "id": "d53c1364-aba9-461f-a0f9-e7730875a339" + }, + "source": [ + "### View the DICOM Images\n", + "---\n", + "Here we'll use the [Python package `pydicom`](https://pydicom.github.io/pydicom/stable/) to view the downloaded DICOM images.\n", + "\n", + "Note that some of the files may contain compressed pixel data that require other packages to view; so, for this demo we'll simply skip over those using the following loop." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "533ce308-3618-47b2-bae1-ad4681feab02", + "metadata": { + "id": "533ce308-3618-47b2-bae1-ad4681feab02", + "scrolled": true + }, + "outputs": [], + "source": [ + "for image_file in image_files:\n", + " print(image_file)\n", + " ds = pydicom.dcmread(image_file)\n", + " try:\n", + " new_image = ds.pixel_array.astype(float)\n", + " scaled_image = (np.maximum(new_image, 0) / new_image.max()) * 255.0\n", + " scaled_image = np.uint8(scaled_image)\n", + " final_image = Image.fromarray(scaled_image)\n", + " print(type(final_image))\n", + " display(final_image)\n", + " except Exception as e:\n", + " print(\"Couldn't view {}: {}.\".format(image_file,e))" + ] + }, + { + "cell_type": "markdown", + "id": "60bb7027-7fb3-47cb-8b4b-2d084287fc20", + "metadata": { + "id": "60bb7027-7fb3-47cb-8b4b-2d084287fc20" + }, + "source": [ + "#### View the DICOM Headers\n", + "---\n", + "DICOM files have metadata elements embedded in the images. These can also be read and viewed using the `pydicom` package." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a1bbb4c1-9ab6-4260-904e-977836b57a01", + "metadata": { + "id": "a1bbb4c1-9ab6-4260-904e-977836b57a01" + }, + "outputs": [], + "source": [ + "ds = pydicom.dcmread(image_files[0],force=True)\n", + "display(ds)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4dec9bce-7f8f-48ee-abe1-6bc380d923c3", + "metadata": { + "id": "4dec9bce-7f8f-48ee-abe1-6bc380d923c3" + }, + "outputs": [], + "source": [ + "# Access individual elements\n", + "display(ds.file_meta)\n", + "display(ds.ImageType)\n", + "display(ds[0x0008, 0x0016])\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ecceb434-83f2-45f1-b1f0-7e1c58fafde9", + "metadata": { + "id": "ecceb434-83f2-45f1-b1f0-7e1c58fafde9" + }, + "outputs": [], + "source": [ + "# View the dicom metadata for all files as a DataFrame\n", + "dfs = []\n", + "for image_file in image_files:\n", + " ds = pydicom.dcmread(image_file)\n", + " df = pd.DataFrame(ds.values())\n", + " df[0] = df[0].apply(lambda x: pydicom.dataelem.convert_raw_data_element(x) if isinstance(x, pydicom.dataelem.RawDataElement) else x)\n", + " df['name'] = df[0].apply(lambda x: x.name)\n", + " df['value'] = df[0].apply(lambda x: x.value)\n", + " df = df[['name', 'value']]\n", + " df = df.set_index('name').T.reset_index(drop=True)\n", + " df['filename'] = image_file\n", + " df.drop(columns=['Pixel Data'],inplace=True) # drop the pixel data as it's too large and nonsensical to store in a DataFrame\n", + " dfs.append(df)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3e55cd95-570b-42d0-80cd-fb47693c49dd", + "metadata": { + "id": "3e55cd95-570b-42d0-80cd-fb47693c49dd" + }, + "outputs": [], + "source": [ + "# Make a master dataframe for all images using only headers in all dataframes\n", + "headers = list(set.intersection(*map(set,dfs)))\n", + "df = pd.concat([df[headers] for df in dfs])\n", + "df.set_index('filename',inplace=True)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c54f11af-4b8c-4744-bc88-6cd2ced7e102", + "metadata": { + "id": "c54f11af-4b8c-4744-bc88-6cd2ced7e102" + }, + "outputs": [], + "source": [ + "display(df)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5b991196-5298-43b6-987a-90de9bf308e5", + "metadata": { + "id": "5b991196-5298-43b6-987a-90de9bf308e5" + }, + "outputs": [], + "source": [ + "## Export the file metadata as a TSV file\n", + "filename = \"MIDRC_DICOM_metadata.tsv\"\n", + "df.to_csv(filename, sep='\\t')\n" + ] + }, + { + "cell_type": "markdown", + "id": "LxvW5sWGdK6V", + "metadata": { + "id": "LxvW5sWGdK6V" + }, + "source": [ + "## 5) Set up Python environment for MIDRC BIH\n", + "---\n" + ] + }, + { + "cell_type": "markdown", + "id": "d6SKQK8edK6W", + "metadata": { + "id": "d6SKQK8edK6W" + }, + "source": [ + "### Download an API key file containing your credentials\n", + "---\n", + "1) Navigate to the MIDRC BIH login page in your browser: https://imaging-hub.data-commons.org/portal/login.\n", + "2) Navigate to the user profile page: https://imaging-hub.data-commons.org/portal/identity.\n", + "3) Click on the button \"Create API Key\" and save the `credentials.json` file somewhere safe as `bih-credentails.json`.\n" + ] + }, + { + "cell_type": "markdown", + "id": "96jg82L7dK6W", + "metadata": { + "id": "96jg82L7dK6W" + }, + "source": [ + "### Set local variables\n", + "---\n", + "Change the following `cred` variable path to point to your credentials file downloaded from the MIDRC data portal following the instructions above." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "NaQ3_X6adK6W", + "metadata": { + "id": "NaQ3_X6adK6W" + }, + "outputs": [], + "source": [ + "bcred = \"/content/bih-credentials.json\" # location of your MIDRC credentials, downloaded from https://data.midrc.org/identity by clicking \"Create API key\" button and saving the credentials.json locally\n", + "bapi = \"https://imaging-hub.data-commons.org/\" # The base URL of the data commons being queried. This shouldn't change for MIDRC.\n" + ] + }, + { + "cell_type": "markdown", + "id": "fUpYD966dwjt", + "metadata": { + "id": "fUpYD966dwjt" + }, + "source": [ + "### Initiate instances of the Gen3 SDK Classes using credentials file for authentication\n", + "---\n", + "Again, make sure the \"cred\" directory path variable reflects the location of your credentials file (path variables set above)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "Tuy-GlVhdwju", + "metadata": { + "id": "Tuy-GlVhdwju" + }, + "outputs": [], + "source": [ + "bauth = Gen3Auth(bapi, refresh_file=bcred) # authentication class\n", + "bquery = Gen3Query(bauth) # query class\n" + ] + }, + { + "cell_type": "markdown", + "id": "xsTgXCdJeRWL", + "metadata": { + "id": "xsTgXCdJeRWL" + }, + "source": [ + "## 6) Build Cohorts by Sending Queries to the MIDRC BIH metadata API\n", + "---\n", + "#### Set query parameters\n", + "---\n", + "* Here, we'll send a query to the `imaging_series` guppy index, which the [MIDRC BIH data explorer GUI](https://data.midrc.org/explorer) runs off.\n", + "* The filters defined below can be modified to return different subsets of imaging series. Here, we'll use a rather restrictive combination of Modality, Body Part Examined, and Study Descrition filters to narrow our selected imaging series to a small number for demonstration purposes.\n", + "* If our query request is successful, the API response should be in JSON format, and it should contain a list of imaging series along with any other data we ask for, including data GUIDs we will use to access image files.\n", + "* Reminder that the guppy graphQL service has extensive documentation in GitHub [here](https://github.com/uc-cdis/guppy/blob/master/doc/queries.md)." + ] + }, + { + "cell_type": "markdown", + "id": "f_IrjY_eeRWM", + "metadata": { + "id": "f_IrjY_eeRWM" + }, + "source": [ + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "lEeVE9vAeRWM", + "metadata": { + "id": "lEeVE9vAeRWM" + }, + "outputs": [], + "source": [ + "### Set some \"imaging_series\" query parameters to select Lung CT imaging series for female COVID-19 cases across the Biomedical Imaging Data Fabric\n", + "\n", + "## Here we select imaging series with a BodyPartExamined of \"Chest\"\n", + "BodyPartExamined = \"LUNG\"\n", + "\n", + "## Here we select imaging series with a Modality of \"CT\"\n", + "Modality = \"CT\"\n", + "\n", + "## Here we select imaging series with a PatientSex of \"Female\"\n", + "PatientSex = \"Female\"\n", + "\n", + "## Here we select imaging series with a disease_type of \"COVID-19\"\n", + "disease_type = \"COVID-19\"\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "k_e1ln9beRWN", + "metadata": { + "id": "k_e1ln9beRWN" + }, + "outputs": [], + "source": [ + "## Note: the \"fields\" option defines what fields we want the query to return. If set to \"None\", returns all available fields.\n", + "\n", + "series = bquery.raw_data_download(\n", + " data_type=\"imaging_series\",\n", + " fields=None,\n", + " filter_object={\n", + " \"AND\": [\n", + " {\"=\": {\"BodyPartExamined\": BodyPartExamined}},\n", + " {\"=\": {\"Modality\": Modality}},\n", + " {\"=\": {\"PatientSex\": PatientSex}},\n", + " {\"=\": {\"disease_type\": disease_type}},\n", + " ]\n", + " },\n", + " sort_fields=[{\"submitter_id\": \"asc\"}]\n", + " )\n", + "\n", + "if len(series) > 0:\n", + " series_ids = list(set([i['submitter_id'] for i in series if 'submitter_id' in i])) ## make a list of the imaging series IDs returned\n", + " object_ids = list(set([rec['object_ids'][0] for rec in series if 'object_ids' in rec])) ## make a list of the imaging series IDs returned\n", + " subject_ids = list(set([rec['subject_id'][0] for rec in series if 'subject_id' in rec])) ## make a list of the imaging series IDs returned\n", + " print(\"Query returned {} imaging series for {} subjects with {} object_ids.\".format(len(series),len(subject_ids),len(object_ids)))\n", + " print(\"Data is a list with rows like this:\")\n", + " for k,v in series[0:1][0].items():\n", + " print(\"\\t\\'{}' : '{}'\".format(k,v))\n", + "else:\n", + " print(\"Your query returned no data! Please, check that query parameters are valid.\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "Sa68oHD-eRWN", + "metadata": { + "id": "Sa68oHD-eRWN" + }, + "outputs": [], + "source": [ + "series_df = pd.DataFrame(series)\n", + "display(series_df)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "XaGi5Pudvljn", + "metadata": { + "id": "XaGi5Pudvljn" + }, + "outputs": [], + "source": [ + "## Export the file metadata as a TSV file\n", + "filename = \"MIDRC_BIH_imaging_series_metadata.tsv\"\n", + "series_df.to_csv(filename, sep='\\t')\n" + ] + }, + { + "cell_type": "markdown", + "id": "V4HS7Cmxqoc0", + "metadata": { + "id": "V4HS7Cmxqoc0" + }, + "source": [ + "## 7) Access data files using their object_id / data GUID (globally unique identifiers)\n", + "---\n", + "In order to programmatically access files for imaging series indexed in MIDRC BIH, users can reference the file's object_id (AKA data GUID or Globally Unique IDentifier, which is an example of a GA4GH DRS URI).\n", + "\n", + "If an imaging series does not have an object_id associated with it, users will need to follow the platform links in the data table to the host platform where the data can be accessed or requested.\n", + "\n", + "As above for the MIDRC data commons, once we have a list of object_ids / image GUIDs we want to download, we can use either the gen3-client or the gen3 SDK to download the files.\n", + "\n", + "For instructions on how to install and use the gen3-client, please see [the MIDRC quick-start guide](https://data.midrc.org/dashboard/Public/documentation/Gen3_MIDRC_GetStarted.pdf), which can be found linked here and in the MIDRC data portal header as \"Get Started\".\n", + "\n", + "Below we use the gen3 SDK command `gen3 drs-pull object` which is [documented in detail here](https://github.com/uc-cdis/gen3sdk-python/blob/master/docs/howto/drsDownloading.md)." + ] + }, + { + "cell_type": "markdown", + "id": "Xif_NvRhqoc1", + "metadata": { + "id": "Xif_NvRhqoc1" + }, + "source": [ + "### View the DICOM Images\n", + "---\n", + "The MIDRC BIH aggregates dicom viewer URLs from across connected nodes in the Biomedical Imaging Data Fabric. If a connected data resources runs a dicom viewer and provides URLs for imaging series, the URL should be available in the BIH metadata, demonstrated below." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "i0FwitvWqoc1", + "metadata": { + "id": "i0FwitvWqoc1", + "scrolled": true + }, + "outputs": [], + "source": [ + "for rec in series:\n", + " if 'dicom_viewer_url' in rec and rec['dicom_viewer_url'] != np.nan:\n", + " print(\"{}\".format(rec['dicom_viewer_url']))" + ] + }, + { + "cell_type": "markdown", + "id": "544761e9", + "metadata": { + "id": "544761e9" + }, + "source": [ + "## The End\n", + "---\n", + "If you have any questions related to this notebook don't hesitate to reach out to the MIDRC Helpdesk at midrc-support@gen3.org or the author directly at cgmeyer@uchicago.edu\n", + "\n", + "Happy data wrangling!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f6691638", + "metadata": { + "id": "f6691638" + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "colab": { + "provenance": [] + }, + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.13" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/jupyter-midrc/combined_demos/Querying_and_Accessing_MIDRC_Data.ipynb b/jupyter-midrc/combined_demos/Querying_and_Accessing_MIDRC_Data.ipynb new file mode 100644 index 00000000..5d2d4ac2 --- /dev/null +++ b/jupyter-midrc/combined_demos/Querying_and_Accessing_MIDRC_Data.ipynb @@ -0,0 +1,970 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "d8ef63c3", + "metadata": {}, + "source": [ + "# Query and Accessing Data in a Gen3 Data Commons\n", + "---\n", + "by Chris Meyer, PhD\n", + "\n", + "Manager of Data and User Services at the Center for Translational Data Science at University of Chicago\n", + "\n", + "June 2022\n", + "\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "5db7f87c", + "metadata": {}, + "source": [ + "### Introduction\n", + "---\n", + "* This notebook is intended to demonstrate a variety of ways to access file objects and structured data (aka \"metadata\") in a Gen3 data commons.\n", + "* File objects are accessed via their \"data GUID\" aka \"object_id\", which is a unique identifier that is associated with a storage_url in the file index (https://data.midrc.org/index/index). Users must be authorized to access a file in order to download it via the object_id. \n", + "* Structured data in a Gen3 Data Commons is imported into Postgres via the \"sheepdog\" service and must conform to the data model. The data model is a relational model that consists of tables or \"nodes\" that are related to one another via foreign keys so that the model can be thought of as a graph of nodes that are linked to each other. Each node in the model contains certain properties (keys) that store data of a particular type (values).\n", + "* The \"sheepdog\" service can export tables of data from a particular node of a data project. This is the simplest way to access \"all\" the data in a Gen3 data commons.\n", + "* Queries can be constructed to target specific types of data in Postgres and are handled by the \"peregrine\" graphQL service.\n", + "* Structured data can also be transformed via an \"ETL\" (extract, transform, load) process that takes the complex relationships between nodes and \"flattens\" the data into a single table, which is stored in an ElasticSearch (ES) database that can be queried using the \"guppy\" graphQL service. These ES tables are what the data exploration app of the Gen3 data-portal is based on.\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8e1a7935", + "metadata": {}, + "outputs": [], + "source": [ + "# The packages below may be necessary for users to install according to the imports necessary in the subsequent cells.\n", + "\n", + "#!pip install --upgrade pandas\n", + "#!pip install --upgrade --ignore-installed PyYAML\n", + "#!pip install --upgrade pip\n", + "#!pip install --upgrade gen3\n", + "#!pip install pydicom" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7ea2fa09", + "metadata": {}, + "outputs": [], + "source": [ + "# Import Python Packages and scripts\n", + "\n", + "import pandas as pd\n", + "import sys, os\n", + "import gen3\n", + "import pydicom\n", + "from io import StringIO\n", + "\n", + "\n", + "from gen3.submission import Gen3Submission\n", + "from gen3.auth import Gen3Auth\n", + "from gen3.index import Gen3Index\n", + "from IPython.display import display\n", + "from expansion import Gen3Expansion\n", + "from gen3.query import Gen3Query\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8d6e9922", + "metadata": {}, + "outputs": [], + "source": [ + "# Import some custom Python scripts from personal GitHub repo\n", + "# change these directory paths to reflect your local working directory\n", + "\n", + "home_dir = \"/Users/christopher\" \n", + "demo_dir = \"{}/Documents/Notes/MIDRC/tutorials\".format(home_dir)\n", + "\n", + "os.chdir(demo_dir)\n", + "\n", + "os.system(\"wget https://raw.githubusercontent.com/cgmeyer/gen3sdk-python/master/expansion/expansion.py -O {}/expansion.py\".format(demo_dir))\n", + "%run expansion.py\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d316dcdf", + "metadata": {}, + "outputs": [], + "source": [ + "# Initiate instances of the Gen3 SDK Classes using credentials file for authentication\n", + "# Change the directory path in \"cred\" to reflect the location of your credentials file.\n", + "\n", + "api = \"https://data.midrc.org\"\n", + "cred = \"{}/Downloads/midrc-credentials.json\".format(home_dir)\n", + "auth = Gen3Auth(api, refresh_file=cred) # authentication class\n", + "sub = Gen3Submission(api, auth) # submission class\n", + "query = Gen3Query(auth) # query class\n", + "exp = Gen3Expansion(api,auth,sub) # class with some custom scripts\n", + "exp.get_project_ids()\n" + ] + }, + { + "cell_type": "markdown", + "id": "85fc475d", + "metadata": {}, + "source": [ + "## Accessing structured data in Postgres using sheepdog exports\n", + "---\n", + "* Probably the most straight-forward way to access structured data in a Gen3 Data Commons is to simply export the table of data using the sheepdog service (https://petstore.swagger.io/?url=https://raw.githubusercontent.com/uc-cdis/sheepdog/master/openapi/swagger.yml#/export/post__program___project__export).\n", + "* The Gen3SDK has a function `Gen3Submission.export_node()` for exporting entire tables of data from Postgres: https://github.com/uc-cdis/gen3sdk-python/blob/8196cf4b76a65d0b9b31c8637a18dfac2a911b56/gen3/submission.py#L361\n", + " * This function will export all records in a particular node of a specified project, and one can then use standard Python / R (etc.) tools to do the filtering and cohort building.\n", + "* Note: This export function is also accesible in the data-portal by navigating to a data project's URL, e.g., https://data.midrc.org/Open-A1, clicking a node in the graph, and then clicking the \"Download All\" button.\n", + " * For example: https://data.midrc.org/Open-A1/search?node_type=measurement\n", + " * Or, you can enter this URL in your browser, for example: https://data.midrc.org/api/v0/submission//Open/A1/export?node_label=measurement&format=tsv" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1373e86d", + "metadata": {}, + "outputs": [], + "source": [ + "## Example of exporting a table of data using the `Gen3Submission.export_node()` function\n", + "cases = sub.export_node(program='Open',project='A1',node_type='case',fileformat='tsv')\n", + "df = pd.read_csv(StringIO(cases), sep='\\t', header=0)\n", + "display(df)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ff227add", + "metadata": {}, + "outputs": [], + "source": [ + "## One can then use standard tools in any programming language to do cohort building. \n", + "## Here I'm using the \"pandas\" Python package to select a cohort based on demographic information stored in the case node.\n", + "cohort = list(df.loc[(df['sex']=='Female') & (df['race']==\"Black or African American\") & (df['age_at_index']>79)]['submitter_id'])\n", + "display(len(cohort))\n", + "cohort" + ] + }, + { + "cell_type": "markdown", + "id": "a27e781d", + "metadata": {}, + "source": [ + "### Using a Python wrapper to get all the data in a particular node\n", + "---\n", + "* I've written a wrapper script called `Gen3Expansion.get_node_tsvs()` that uses the `Gen3Submission.export_node()` function to export the same node across all projects you have access to in the data commons and then merges the results into a single master table for that node:\n", + "https://github.com/cgmeyer/gen3sdk-python/blob/5fd6b868374f622221c0c0173a0d9489b190facd/expansion/expansion.py#L219" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fdc0977e", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "cases = exp.get_node_tsvs(node='case')\n", + "display(cases)" + ] + }, + { + "cell_type": "markdown", + "id": "b150f734", + "metadata": {}, + "source": [ + "### Using a Python wrapper to get all the data in a particular project\n", + "---\n", + "* Similar to the above example, I've written a wrapper script called `Gen3Expansion.get_project_tsvs()` that uses the `Gen3Submission.export_node()` function to export every node in every project (or a particular project) in the data commons.\n", + "https://github.com/cgmeyer/gen3sdk-python/blob/5fd6b868374f622221c0c0173a0d9489b190facd/expansion/expansion.py#L298\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "71757809", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "## This example gets all the data in every node of the data model in the project Open-A1\n", + "## If \"projects\" is not specific, all data across all projects you have access to will be downloaded.\n", + "exp.get_project_tsvs(projects='Open-A1')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "51fc6b41", + "metadata": {}, + "outputs": [], + "source": [ + "!ls -l project_tsvs/Open-A1_tsvs" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f7e40ba9", + "metadata": {}, + "outputs": [], + "source": [ + "## You can then read in the TSVs of data exported from a node to do cohort building / research\n", + "tsv_dir = 'project_tsvs/Open-A1_tsvs'\n", + "ct = pd.read_csv(\"{}/Open-A1_ct_series_file.tsv\".format(tsv_dir),sep='\\t',dtype=str)\n", + "display(ct)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a3e9628c", + "metadata": {}, + "outputs": [], + "source": [ + "## Now we can use Python to get the CT series files for the cohort of cases we built earlier\n", + "cohort_ct = ct.loc[ct['case_ids'].isin(cohort)]\n", + "cohort_ct" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "20261819", + "metadata": {}, + "outputs": [], + "source": [ + "## You can access the cohort's CT series files by using the 'object_id' field:\n", + "object_ids = list(cohort_ct['object_id'])\n", + "object_ids" + ] + }, + { + "cell_type": "markdown", + "id": "5be8e81d", + "metadata": {}, + "source": [ + "## Queries to Postgres using Peregrine graphQL query service\n", + "---\n", + "* Peregrine GitHub Docs: https://github.com/uc-cdis/peregrine\n", + "* Peregrine swagger docs: https://petstore.swagger.io/?url=https://raw.githubusercontent.com/uc-cdis/peregrine/master/openapis/swagger.yaml\n", + "\n", + "---\n", + "* Most structured data (aka \"metadata\") submitted to a Gen3 system is stored in Postgres tables using the \"sheepdog\" service. This data must conform to the data commons' data model (https://data.midrc.org/dd), and is queryable via the \"peregrine\" service, which converts graphQL queries to SQL queries and returns the data requested. The Postgres tables are considered the \"source-of-truth\" for data in a Gen3 system (vs. the derived data in ElasticSearch, covered below).\n", + "\n", + "* On the data commons' website, peregrine queries can be sent to the API using the \"graphiQL\" query builder: https://data.midrc.org/query (click on \"Switch to Graph Model\"; if button says \"Switch to Flat Model\" you're in the correct spot).\n", + "\n", + "* Alternatively, you can send queries to the peregrine API using the Gen3SDK `Gen3Submission.query()` function, which uses the Python `requests` package to send queries as API requests: https://github.com/uc-cdis/gen3sdk-python/blob/31751633ba621b35f39eda7295f131245fb92728/gen3/submission.py#L399\n" + ] + }, + { + "cell_type": "markdown", + "id": "311a6d7e", + "metadata": {}, + "source": [ + "### Example graph model query \\#1\n", + "* This query is running across all records in the `case` node and returns data from any dataset in the data commons you are authorized to access. Remember, the properties in the `case` node are essentially table headers for variables whose values are of a specific data type (string, enumeration, integer, number, boolean, array, etc.).\n", + "* The argument `covid19_positive: \"Yes\"` returns only case records that have the value \"Yes\" for the property `covid19_positive`, which indicates whether a case in MIDRC has ever had a positive COVID-19 test result.\n", + "* The `first` argument defines how many `case` records we want returned. Using the argument `first: 0`, all the records we have access to will be returned. If we leave the \"first\" argument out, only the first 10 records are returned by default. Setting `first: 2000` will return the first 2000 records in the table, etc.\n", + "* If your query is timing out, you will need to paginate the query (covered in next section) using a combination of \"first\" and \"offset\" arguments. This is only necessary if the tables being queries are very large, or the query traverses many nodes in the graph model.\n", + "* Properties we want returned from the API are enclosed in brackets. The possibilities and exact syntax are constrained by the data model (data.midrc.org/dd). \n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1a7994cb", + "metadata": {}, + "outputs": [], + "source": [ + "### Define the query\n", + "\n", + "## Here we're asking for the `project_id`, `submitter_id`, and some demographic data for every `case` record.\n", + "## We're also asking for the `study_uid` for every `imaging_study` record belonging to those cases, and for all `dx_series_file` records for those `imaging_studies`.\n", + "## Finally, we're asking for the `file_name` and `object_id` of any Digital X-ray files (node `dx_series_file`, backref: `dx_series_files`) they may have.\n", + "\n", + "## Note: \"submitter_id\" is a required property on every node, which is the human-readable (string), unique identifier for a record in a data table / node. So, the \"submitter_id\" of a record in the case node is the de-identified patient's \"ID\".\n", + "\n", + "query_txt = \"\"\"\n", + "{\n", + " case(first: 0, covid19_positive: \"Yes\") {\n", + " project_id\n", + " submitter_id\n", + " ethnicity\n", + " sex\n", + " race\n", + " imaging_studies (study_modality: \"DX\") {\n", + " study_uid\n", + " dx_series_files {\n", + " object_id\n", + " file_name\n", + " }\n", + " }\n", + " }\n", + "}\n", + "\n", + "\"\"\"\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0cecf28b", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "## Send the query using the Gen3 SDK Gen3Submission.query() function\n", + "## The response will be in JSON format.\n", + "\n", + "response = sub.query(query_txt)\n", + "if 'data' in response:\n", + " data = response['data']['case']\n", + " display(data)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "219c7f97", + "metadata": {}, + "outputs": [], + "source": [ + "## the \"object_id\" field is the file's data GUID (or globally unique identifier), which can be used to access the file.\n", + "\n", + "object_ids = []\n", + "for case in data:\n", + " studies = case['imaging_studies']\n", + " for study in studies:\n", + " files = study['dx_series_files'] \n", + " if len(files)>0:\n", + " for file in files:\n", + " object_id = file['object_id']\n", + " object_ids.append(object_id)\n", + "object_ids" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "60b02d88", + "metadata": {}, + "outputs": [], + "source": [ + "## Take a look at one of the file objects\n", + "#object_id was originally selected from the list above. If the object id is not above use an object id from above.\n", + "\n", + "object_id = 'dg.MD1R/ea6ad8e7-1dc9-4916-8e75-38abb66c6416'\n", + "os.system(\"gen3 --auth {} --endpoint data.midrc.org drs-pull object {}\".format(cred,object_id))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "15fe0b88", + "metadata": {}, + "outputs": [], + "source": [ + "!ls -l 10000364-1958844/" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b97a8336", + "metadata": {}, + "outputs": [], + "source": [ + "#The object downloaded above was zipped and must be unzipped to process further\n", + "#The path and file names may have changed and those changes should be reflected below\n", + "!unzip 10000364-1958844/2.16.840.1.114274.1818.52236113359126249589212595743121753735/2.16.840.1.114274.1818.54309100269617797736626917868992258958.zip" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9ab6b52a", + "metadata": {}, + "outputs": [], + "source": [ + "from pydicom import dcmread\n", + "\n", + "fpath = \"2.16.840.1.114274.1818.54309100269617797736626917868992258958/2.16.840.1.114274.1818.46312267929568121457864041736105067915.dcm\"\n", + "ds = dcmread(fpath)\n", + "ds" + ] + }, + { + "cell_type": "markdown", + "id": "7308d00f", + "metadata": {}, + "source": [ + "### Counts with peregrine\n", + "---\n", + "* Peregrine is able to provide counts of records in nodes. A simple example is to quickly get the count of the numbers of cases and imaging studies in the data commons.\n", + "* You can also add arguments to the counts to, for example, get the number of cases in a particular project or get the imaging studies of a particular modality." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1e80ace7", + "metadata": {}, + "outputs": [], + "source": [ + "query_txt = \"{_case_count}\"\n", + "print(sub.query(query_txt))\n", + "query_txt = \"{_imaging_study_count}\"\n", + "print(sub.query(query_txt))\n", + "query_txt = '{CT_studies: _imaging_study_count(study_modality:\"CT\")}'\n", + "print(sub.query(query_txt))\n", + "query_txt = '{Open_A1_cases: _case_count(project_id:\"Open-A1\")}'\n", + "print(sub.query(query_txt))" + ] + }, + { + "cell_type": "markdown", + "id": "5dcd297c", + "metadata": {}, + "source": [ + "### Queries of \"datanode\" using peregrine\n", + "---\n", + "Another handy trick with peregrine queries is the \"datanode\" query. \"Datanode\" isn't a real node in the data model, but is useful way to query all nodes that store file information. For example, if you have a patient ID, you can get all the files associated with that case.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "097f8def", + "metadata": {}, + "outputs": [], + "source": [ + "query_txt = \"\"\"\n", + "{\n", + " datanode(first: 0, case_ids: \"10000364-1163342\") {\n", + " object_id\n", + " file_name\n", + " modality\n", + " }\n", + "}\n", + "\n", + "\"\"\"\n", + "response = sub.query(query_txt)\n", + "if 'data' in response:\n", + " display(response['data']['datanode'])" + ] + }, + { + "cell_type": "markdown", + "id": "3ba72458", + "metadata": {}, + "source": [ + "## Queries to ElasticSearch using Guppy graphQL query service\n", + "---\n", + "* Guppy Documentation: https://github.com/uc-cdis/guppy/blob/master/doc/queries.md#filters\n", + "* Guppy Download instructions: https://github.com/uc-cdis/guppy/blob/master/doc/download.md\n", + "* ETL (Tube) Documentation: https://github.com/uc-cdis/tube#gen3-etl---a-process-from-postgresql-to-es\n", + "---\n", + "* The Gen3 platform includes services for running an ETL process (Extract, Transform, Load), which is done by the Gen3 ETL service \"tube\", on the data in Postgres to create flattened tables of the same data in ElasticSearch (ES) for rapid querying performed by the Gen3 query service \"guppy\".\n", + "* Guppy runs graphql-like queries against the ES database, and can rapidly return derived data like histograms, statistics, aggregations, counts, etc. The tube service uses Spark to create these new tables of data in ES via an ETL mapping, which defines the structure of the new tables and is based on the data model. \n", + "* Since the structure of the data changes via the ETL process, peregrine queries to Postgres will not run using guppy. To explore what is possible to query, use the graphiQL interface / documentation.\n", + "* The \"Exploration\" app aka \"Data Explorer\" (data.midrc.org/explore), which uses faceted search to filter the flat data tables in ES, runs off of guppy queries.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bf8d06d2", + "metadata": {}, + "outputs": [], + "source": [ + "## an example guppy query, which hits the ElasticSearch database\n", + "\n", + "## define some parameters\n", + "pid = 'Open-R1'\n", + "node = 'imaging_study'\n", + "fields = [\"study_uid\",\n", + " \"study_description\",\n", + " \"case_ids\",\n", + " \"object_id\"]\n", + "filters = {\"project_id\": pid,\n", + " \"covid19_positive\" : \"Yes\",\n", + " \"body_part_examined\" : \"CHEST\",\n", + " \"study_modality\" : \"DX\"}\n", + "\n", + "## send the guppy query with the SDK class Gen3Query\n", + "## Note the \"first: 100000\", which makes sure we don't just get the default first 10 records\n", + "response = query.query(\n", + " data_type=node,\n", + " first=100000,\n", + " fields=fields,\n", + " filters=filters,\n", + " sort_object={\"submitter_id\": \"asc\"},\n", + ")\n", + "\n", + "# display the returned data\n", + "if 'data' in response:\n", + " study_data = response['data'][node]\n", + " display(study_data)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d4459fa2", + "metadata": {}, + "outputs": [], + "source": [ + "## another example guppy query, which hits the ElasticSearch database\n", + "\n", + "## define some parameters\n", + "node = 'case'\n", + "\n", + "fields = [\"project_id\",\n", + " \"submitter_id\",\n", + " \"object_id\"]\n", + "\n", + "filters = {\"sex\":\"Female\",\n", + " \"race\" : \"Asian\",\n", + " \"ethnicity\" : \"Hispanic or Latino\"}\n", + "\n", + "## send the guppy query with the SDK class Gen3Query\n", + "## Note the \"first: 100000\", which makes sure we don't just get the default first 10 records\n", + "response = query.query(\n", + " data_type=node,\n", + " first=100000,\n", + " fields=fields,\n", + " filters=filters,\n", + " sort_object={\"submitter_id\": \"asc\"},\n", + ")\n", + "\n", + "# display the returned data\n", + "if 'data' in response:\n", + " case_data = response['data'][node]\n", + " display(case_data)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f9aa5639", + "metadata": {}, + "outputs": [], + "source": [ + "## Elastic search is handy for accessing files for a cohort since object_ids associated with each study or case are joined to the table \n", + "study_object_ids = []\n", + "for study in study_data:\n", + " if 'object_id' in study:\n", + " object_id_list = study['object_id']\n", + " for object_id in object_id_list:\n", + " study_object_ids.append(object_id)\n", + "display(study_object_ids)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c3a0d6b2", + "metadata": {}, + "outputs": [], + "source": [ + "case_data" + ] + }, + { + "cell_type": "markdown", + "id": "d842abd3", + "metadata": {}, + "source": [ + "### Sending aggregations with guppy\n", + "---\n", + "* Guppy has the ability to return some useful statistics (e.g., histograms) using aggregations.\n", + "* The `Gen3Query.graphql_query()` function can be used to send aggregations and other more complex queries that the basic `Gen3Query.query()` function can't support: https://github.com/uc-cdis/gen3sdk-python/blob/8196cf4b76a65d0b9b31c8637a18dfac2a911b56/gen3/query.py#L112" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "27035fe3", + "metadata": {}, + "outputs": [], + "source": [ + "## A more complex example using Python requests\n", + "query_txt = \"\"\"{\n", + " _aggregation {\n", + " case {\n", + " sex {\n", + " histogram {\n", + " key\n", + " count\n", + " }\n", + " }\n", + " race {\n", + " histogram {\n", + " key\n", + " count\n", + " }\n", + " }\n", + " ethnicity {\n", + " histogram {\n", + " key\n", + " count\n", + " }\n", + " }\n", + " }\n", + " }\n", + "}\"\"\"\n", + "response = query.graphql_query(query_string=query_txt)\n", + "display(response)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a6bb9084", + "metadata": {}, + "outputs": [], + "source": [ + "## Here is an example simple script for sending a basic aggregation request that will return the data as a DataFrame (\"TSV\")\n", + "## https://github.com/cgmeyer/gen3sdk-python/blob/5fd6b868374f622221c0c0173a0d9489b190facd/expansion/expansion.py#L3511\n", + "\n", + "data = exp.guppy_aggregation(node='case', prop='race', format='TSV')\n", + "display(data)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "afcdb969", + "metadata": {}, + "outputs": [], + "source": [ + "## A more complex example using Python requests\n", + "query_txt = \"\"\"{\n", + " _aggregation {\n", + " case {\n", + " sex {\n", + " histogram {\n", + " key\n", + " count\n", + " }\n", + " }\n", + " race {\n", + " histogram {\n", + " key\n", + " count\n", + " }\n", + " }\n", + " ethnicity {\n", + " histogram {\n", + " key\n", + " count\n", + " }\n", + " }\n", + " }\n", + " }\n", + "}\"\"\"\n", + "query_json = {\"query\": query_txt}\n", + "guppy_url = \"{}/guppy/graphql\".format(api)\n", + "response = requests.post(guppy_url, json=query_json, auth=auth)\n", + "display(json.loads(response.text)['data']['_aggregation']['case'])\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1b30f1eb", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "## Count the number of files in each project\n", + "files_by_project = \"\"\"\n", + "{\n", + " _aggregation {\n", + " data_file {\n", + " project_id {\n", + " histogram {\n", + " key\n", + " count\n", + " }\n", + " }\n", + " }\n", + " }\n", + "}\"\"\"\n", + "response = query.graphql_query(files_by_project)\n", + "display(response)\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "3597b07f", + "metadata": {}, + "source": [ + "### Use the guppy download endpoint to access ElasticSearch tables.\n", + "---\n", + "* Tables of data from ES can be exported from the data exploration app (https://data.midrc.org/explore) by using the \"Download Table\" button.\n", + "* To get these sorts of tables using the API, you can use the guppy download function: https://github.com/uc-cdis/gen3sdk-python/blob/8196cf4b76a65d0b9b31c8637a18dfac2a911b56/gen3/query.py#L146" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "84aae2a8", + "metadata": {}, + "outputs": [], + "source": [ + "## This query gets all the imaging studies of modality \"CT\"\n", + "\n", + "query.raw_data_download(\n", + " data_type=\"imaging_study\",\n", + " fields=[\n", + " \"study_uid\",\n", + " \"project_id\",\n", + " \"study_description\",\n", + " \"body_part_examined\",\n", + " \"case_ids\",\n", + " \"object_id\"\n", + " ],\n", + " filter_object={\"=\": {\"study_modality\": \"CT\"}}\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "279428e4", + "metadata": {}, + "outputs": [], + "source": [ + "## Here is an example getting all the cases in a particular project between ages of 45 and 47\n", + "\n", + "query.raw_data_download(\n", + " data_type=\"case\",\n", + " fields=[\n", + " \"submitter_id\",\n", + " \"project_id\",\n", + " \"race\",\n", + " \"sex\",\n", + " \"ethnicity\",\n", + " \"age_at_index\",\n", + " \"object_id\"\n", + " ],\n", + " filter_object={\"AND\": [{\">=\": {\"age_at_index\": 45}},\n", + " {\"<=\": {\"age_at_index\": 47}},\n", + " {\"=\": {\"project_id\": \"Open-A1\"}}]},\n", + " sort_fields=[{\"submitter_id\": \"asc\"}],\n", + " accessibility=\"accessible\"\n", + " )\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c6570ebd", + "metadata": {}, + "outputs": [], + "source": [ + "## Here is an example getting all the imaging studies where the patient had a positive COVID-19 test result within a week of the study date.\n", + "\n", + "response = query.raw_data_download(\n", + " data_type=\"imaging_study\",\n", + " fields=[\n", + " \"study_uid\",\n", + " \"study_modality\",\n", + " \"case_ids\",\n", + " \"project_id\",\n", + " \"race\",\n", + " \"sex\",\n", + " \"ethnicity\",\n", + " \"age_at_index\",\n", + " \"object_id\"\n", + " ],\n", + " filter_object={\"AND\": [{\">=\": {\"days_from_study_to_pos_covid_test\": -7}},\n", + " {\"<=\": {\"days_from_study_to_pos_covid_test\": 7}}]},\n", + " sort_fields=[{\"submitter_id\": \"asc\"}],\n", + " accessibility=\"accessible\"\n", + " )\n", + "\n", + "display(response)\n" + ] + }, + { + "cell_type": "markdown", + "id": "fc104d89", + "metadata": {}, + "source": [ + "## Use the Gen3 SDK \"drs-pull\" commands to access the files themselves.\n", + "---\n", + "\n", + "Next, we'll use the Gen3 SDK command `gen3 drs-pull object` to access the imaging file using it's \"object_id\" aka \"data GUID\".\n", + "\n", + "See the detailed documentation to learn more about the Gen3 SDK drs-pull command: https://github.com/uc-cdis/gen3sdk-python/blob/master/docs/howto/drsDownloading.md\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "db38edda", + "metadata": {}, + "outputs": [], + "source": [ + "## Take a look at one of the file objects\n", + "\n", + "data = response[0]\n", + "case_id = data['case_ids'][0]\n", + "study_uid = data['study_uid']\n", + "object_id = data['object_id'][0]\n", + "print(case_id)\n", + "print(object_id)\n", + "\n", + "cmd = \"gen3 --auth {} --endpoint data.midrc.org drs-pull object {}\".format(cred,object_id)\n", + "os.system(cmd)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f7d6c19f", + "metadata": {}, + "outputs": [], + "source": [ + "cmd = \"ls -l {}/{}\".format(case_id,study_uid)\n", + "stout = subprocess.check_output(cmd, shell=True)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "449e2c69", + "metadata": {}, + "outputs": [], + "source": [ + "## Grab the filename and series UID of the downloaded file using RegEx\n", + "import re\n", + "\n", + "m = re.search(' ([0-9\\.]+.zip)', str(stout))\n", + "\n", + "if m:\n", + " zip_file = m.group(1)\n", + " print(zip_file)\n", + "else:\n", + " print(\"No zip found.\")\n", + "\n", + "series_uid = re.sub(\"(\\.zip)\", \"\", zip_file)\n", + "print(series_uid)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "08ec040b", + "metadata": {}, + "outputs": [], + "source": [ + "# Unzip the imaging series package\n", + "from zipfile import ZipFile\n", + "\n", + "with ZipFile('{}/{}/{}/{}'.format(demo_dir,case_id,study_uid,zip_file), 'r') as zipObj:\n", + " zipObj.extractall()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c08956a8", + "metadata": {}, + "outputs": [], + "source": [ + "#Input the name of the newly create .dcm file\n", + "cmd = \"ls -l {}/{}/{}\".format(case_id,study_uid,series_uid)\n", + "stout = subprocess.run(cmd, shell=True, capture_output=True)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e024d412", + "metadata": {}, + "outputs": [], + "source": [ + "# Get the name of the first DICOM file in the extracted imaging series\n", + "m = re.search(' ([0-9\\.]+.dcm)', str(stout))\n", + "\n", + "if m:\n", + " dcm_file = m.group(1)\n", + " print(dcm_file)\n", + "else:\n", + " print(\"No DCM files found.\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "90575758", + "metadata": {}, + "outputs": [], + "source": [ + "# Read in the DCM file using the python DICOM package pydicom\n", + "dimg = pydicom.dcmread(\"{}/{}/{}/{}\".format(case_id,study_uid,series_uid,dcm_file),force=True)\n", + "dimg" + ] + }, + { + "cell_type": "markdown", + "id": "544761e9", + "metadata": {}, + "source": [ + "## The End\n", + "---\n", + "If you have any questions related to this notebook don't hesitate to reach out to the MIDRC Helpdesk at midrc-support@datacommons.io or the author directly at cgmeyer@uchicago.edu\n", + "\n", + "Happy data wrangling!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3dd85f59", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.0" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/jupyter-midrc/combined_demos/build_a_cohort_of_severe_covid_19_cases.ipynb b/jupyter-midrc/combined_demos/build_a_cohort_of_severe_covid_19_cases.ipynb new file mode 100644 index 00000000..c7c9fa90 --- /dev/null +++ b/jupyter-midrc/combined_demos/build_a_cohort_of_severe_covid_19_cases.ipynb @@ -0,0 +1,745 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "d8ef63c3", + "metadata": { + "id": "d8ef63c3" + }, + "source": [ + "# How to Build a Cohort of Severe COVID-19 Cases Using the MIDRC Data Commons\n", + "---\n", + "This notebook demonstrates how to build a cohort of severe COVID-19 cases using patient clinical data and AI research-based annotations in the MIDRC data commons.\n", + "\n", + "Our goal is to download structured data and files for 2 related cohorts: 1) severe COVID cases and 2) a control cohort of non-severe COVID cases.\n", + "\n", + "Luckily for the patients, there are many more non-severe cases; but that presents a challenge for building a balanced dataset that is optimal for AI/ML training and evaluation.\n", + "\n", + "* Cohort 1: All chest x-rays (CXR) with an mRALE score of 10 or higher obtained within 2 days after a positive COVID test.\n", + "\n", + "* Cohort 2: Matching number of CXRs with an mRALE score <10 obtained within 2 days after a positive COVID test.\n", + "\n", + "* Additionally, we want the cohorts to be somewhat balanced and matched in terms of the demographics: age, sex, race, and ethnicity.\n", + "\n", + "\n", + "by Chris Meyer, PhD\n", + "\n", + "Manager of Data and User Services at the Center for Translational Data Science at University of Chicago\n", + "\n", + "August 2023\n", + "\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "5db7f87c", + "metadata": { + "id": "5db7f87c" + }, + "source": [ + "## 1) Set up Python environment\n", + "---\n" + ] + }, + { + "cell_type": "markdown", + "id": "1bffd5d4", + "metadata": { + "id": "1bffd5d4" + }, + "source": [ + "### Set local variables\n", + "---\n", + "Change the following directory paths to a valid working directories where you're running this notebook." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c3c59c2c", + "metadata": { + "id": "c3c59c2c" + }, + "outputs": [], + "source": [ + "cred = \"/content/credentials.json\" # location of your MIDRC credentials, downloaded from https://data.midrc.org/identity by clicking \"Create API key\" button and saving the credentials.json locally; then upload to Colab Files browser\n", + "api = \"https://data.midrc.org\" # The base URL of the data commons being queried. This shouldn't change for MIDRC.\n" + ] + }, + { + "cell_type": "markdown", + "id": "7962e54c", + "metadata": { + "id": "7962e54c" + }, + "source": [ + "### Install / Import Python Packages and Scripts" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8e1a7935", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "8e1a7935", + "outputId": "d6a996a2-3321-4f99-e2f0-594a0b7a9f9a" + }, + "outputs": [], + "source": [ + "## The packages below may be necessary for users to install according to the imports necessary in the subsequent cells.\n", + "\n", + "import sys\n", + "#!{sys.executable} -m pip install\n", + "#!{sys.executable} -m pip install --upgrade pandas\n", + "#!{sys.executable} -m pip install --upgrade --ignore-installed PyYAML\n", + "#!{sys.executable} -m pip install --upgrade pip\n", + "!{sys.executable} -m pip install --upgrade gen3\n", + "#!{sys.executable} -m pip install pydicom\n", + "#!{sys.executable} -m pip install IPython", + "#!{sys.executable} -m pip install psmpy" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7ea2fa09", + "metadata": { + "id": "7ea2fa09" + }, + "outputs": [], + "source": [ + "## Import Python Packages and scripts\n", + "\n", + "import os, subprocess\n", + "import pandas as pd\n", + "import numpy as np\n", + "#import pydicom\n", + "\n", + "# import some Gen3 packages\n", + "import gen3\n", + "from gen3.auth import Gen3Auth\n", + "from gen3.query import Gen3Query\n", + "from IPython.display import display", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "7784ecc9", + "metadata": { + "id": "7784ecc9" + }, + "source": [ + "### Initiate instances of the Gen3 SDK Classes using credentials file for authentication\n", + "---\n", + "Again, make sure the \"cred\" directory path variable reflects the location of your credentials file (path variables set above)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d316dcdf", + "metadata": { + "id": "d316dcdf" + }, + "outputs": [], + "source": [ + "auth = Gen3Auth(api, refresh_file=cred) # authentication class\n", + "query = Gen3Query(auth) # query class\n" + ] + }, + { + "cell_type": "markdown", + "id": "2ea96784-3370-46a6-a2c7-edda947bfa8f", + "metadata": { + "id": "2ea96784-3370-46a6-a2c7-edda947bfa8f" + }, + "source": [ + "## 2) Build Cohorts by Sending Queries to the MIDRC APIs\n", + "#### General notes on sending queries:\n", + "* There are many ways to query and access metadata for cohort building in MIDRC, but this notebook will focus on using the [Gen3](https://gen3.org) graphQL query service [\"guppy\"](https://github.com/uc-cdis/guppy/#readme). This is the backend query service that [MIDRC's data explorer GUI](https://data.midrc.org/explorer) uses. So, anything you can do in the explorer GUI, you can do with guppy queries, and more!\n", + "* The guppy graphQL service has more functionality than is demonstrated in this simple example with extensive documentation in GitHub [here](https://github.com/uc-cdis/guppy/blob/master/doc/queries.md) in case you'd like to build your own queries from scratch.\n", + "* The Gen3 SDK (intialized as \"query\" above in this notebook) has Python wrapper scripts to make sending queries to the guppy graphQL API simpler. The guppy SDK package can be viewed in GitHub [here](https://github.com/uc-cdis/gen3sdk-python/blob/master/gen3/query.py).\n", + "* Guppy queries focus on a particular type of data (cases, imaging studies, files, etc.) and include arguments that are akin to selecting filter values in [MIDRC's data explorer GUI](https://data.midrc.org/explorer).\n", + "* To see more documentation about to use and combine filters with various operator logic (like AND/OR/IN, etc.) see [this page](https://github.com/uc-cdis/guppy/blob/master/doc/queries.md#filter).\n", + "* We then send our query to MIDRC's guppy API endpoint using [the Gen3Query SDK package](https://github.com/uc-cdis/gen3sdk-python/blob/master/gen3/query.py) we initialized earlier.\n", + "* If our query request is successful, the API response should be in JSON format, and it should contain a list of patient IDs along with any other patient data we ask for.\n", + "\n", + "---\n" + ] + }, + { + "cell_type": "markdown", + "id": "3e4a624e-f769-46a9-b76c-2efe9713bf61", + "metadata": { + "id": "3e4a624e-f769-46a9-b76c-2efe9713bf61" + }, + "source": [ + "#### Cohort 1: All chest x-rays (CXR) with an mRALE score of 10 or higher obtained within 2 days after a positive COVID test.\n", + "---" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9bc4a36e-0647-4546-9777-6d0ad7b32750", + "metadata": { + "id": "9bc4a36e-0647-4546-9777-6d0ad7b32750" + }, + "outputs": [], + "source": [ + "### Set some \"imaging_study\" query parameters\n", + "\n", + "## mRALE filter: we'll select all imaging studies annotated with an mRAle scores greater than or equal to this threshold number\n", + "mRALE_threshold = 10\n", + "\n", + "## days from study to positive COVID-19 test filter: we want imaging studies performed within two days after a positive test\n", + "min_days_from_study_to_test = -2\n", + "max_days_from_study_to_test = 0\n", + "\n", + "## Imaging study modality filter: we want chest x-rays, so we want studies with a modality of either DX or CR\n", + "study_modalities = [\"DX\", \"CR\"]\n", + "\n", + "## Imaging study body part filter: here we select \"chest\" as the \"LOINC system\" filter, which is the body part examined\n", + "body_part_examined = \"Chest\"\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8910b3e4", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "8910b3e4", + "outputId": "5ecb442a-edc0-4e65-98c0-20b0f33d62a7" + }, + "outputs": [], + "source": [ + "## Note: the \"fields\" option defines what fields we want the query to return. If set to \"None\", returns all available fields.\n", + "\n", + "severe_studies = query.raw_data_download(\n", + " data_type=\"imaging_study\",\n", + " fields=None,\n", + " filter_object={\n", + " \"AND\": [\n", + " {\"IN\": {\"loinc_system\": [body_part_examined]}},\n", + " {\"IN\": {\"study_modality\": study_modalities}},\n", + " {\"nested\": {\"path\": \"imaging_study_annotations\", \">=\": {\"midrc_mRALE_score\": mRALE_threshold}}},\n", + " {\"AND\": [\n", + " {\">=\": {\"days_from_study_to_pos_covid_test\": min_days_from_study_to_test}},\n", + " {\"<=\": {\"days_from_study_to_pos_covid_test\": max_days_from_study_to_test}}\n", + " ]}\n", + " ]\n", + " },\n", + " sort_fields=[{\"submitter_id\": \"asc\"}]\n", + " )\n", + "\n", + "if len(severe_studies) > 0 and \"submitter_id\" in severe_studies[0]:\n", + " severe_study_ids = [i['submitter_id'] for i in severe_studies] ## make a list of the imaging study IDs returned\n", + " print(\"Query returned {} study IDs.\".format(len(severe_studies)))\n", + " print(\"Data is a list with rows like this:\\n\\t {}\".format(severe_studies[0:1]))\n", + "else:\n", + " print(\"Your query returned no data! Please, check that query parameters are valid.\")" + ] + }, + { + "cell_type": "markdown", + "id": "8df88d18-e709-44a8-a395-98a05126cff3", + "metadata": { + "id": "8df88d18-e709-44a8-a395-98a05126cff3" + }, + "source": [ + "#### Cohort 2: CXRs with an mRALE score <10 obtained within 2 days after a positive COVID test.\n", + "---\n", + "\n", + "We don't need to set any new parameters for our filters this time. We just need to reverse the operator on the mRALE threshold from greater than or equal to (`>=`) to less than (`<`)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "eee1ce8c-ccd3-468d-8df3-c435c5e83148", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "eee1ce8c-ccd3-468d-8df3-c435c5e83148", + "outputId": "fbfeb125-028b-4d64-895d-1157e8663302" + }, + "outputs": [], + "source": [ + "mild_studies = query.raw_data_download(\n", + " data_type=\"imaging_study\",\n", + " fields=None,\n", + " filter_object={\n", + " \"AND\": [\n", + " {\"IN\": {\"loinc_system\": [body_part_examined]}},\n", + " {\"IN\": {\"study_modality\": study_modalities}},\n", + " {\"nested\": {\"path\": \"imaging_study_annotations\", \"<\": {\"midrc_mRALE_score\": mRALE_threshold}}},\n", + " {\"AND\": [\n", + " {\">=\": {\"days_from_study_to_pos_covid_test\": min_days_from_study_to_test}},\n", + " {\"<=\": {\"days_from_study_to_pos_covid_test\": max_days_from_study_to_test}}\n", + " ]}\n", + " ]\n", + " },\n", + " sort_fields=[{\"submitter_id\": \"asc\"}]\n", + " )\n", + "\n", + "if len(mild_studies) > 0 and \"submitter_id\" in mild_studies[0]:\n", + " mild_study_ids = [i['submitter_id'] for i in mild_studies] ## make a list of the imaging study IDs returned\n", + " print(\"Query returned {} study IDs.\".format(len(mild_studies)))\n", + " print(\"Data is a list with rows like this:\\n\\t {}\".format(mild_studies[0:1]))\n", + "else:\n", + " print(\"Your query returned no data! Please, check that query parameters are valid.\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "33093eff-621f-452b-a0af-89af1940c65f", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 961 + }, + "id": "33093eff-621f-452b-a0af-89af1940c65f", + "outputId": "023fcc64-dba1-4d9a-c101-800897b4002c" + }, + "outputs": [], + "source": [ + "severe_df = pd.DataFrame(severe_studies)\n", + "display(severe_df.head())\n", + "\n", + "mild_df = pd.DataFrame(mild_studies)\n", + "display(mild_df.head())\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a9f12059-e9c5-4dda-9844-8d88c8f3671c", + "metadata": { + "id": "a9f12059-e9c5-4dda-9844-8d88c8f3671c" + }, + "outputs": [], + "source": [ + "## Label cases as mild or severe and then combine the dataframes into a single dataframe\n", + "mild_df['cohort'] = 'mild'\n", + "severe_df['cohort'] = 'severe'\n", + "df = pd.concat([mild_df,severe_df],ignore_index=True)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9c6eac91-594b-4532-8612-040518dc768d", + "metadata": { + "id": "9c6eac91-594b-4532-8612-040518dc768d" + }, + "outputs": [], + "source": [ + "# convert patient demographic columns in lists to strings\n", + "df['case_ids'] = df['case_ids'].apply(lambda x: ','.join(map(str, x)))\n", + "df['ethnicity'] = df['ethnicity'].apply(lambda x: ','.join(map(str, x)))\n", + "df['race'] = df['race'].apply(lambda x: ','.join(map(str, x)))\n", + "df['age_at_index'] = df['age_at_index'].apply(lambda x: ','.join(map(str, x)))\n", + "df['age_at_index'] = df['age_at_index'].astype(int)\n", + "df['sex'] = df['sex'].apply(lambda x: ','.join(map(str, x)))\n", + "\n", + "# add binned ages for calculating age distributions later\n", + "age_bins = np.arange(10,100,10)\n", + "df['age_bin'] = pd.cut(df['age_at_index'], bins=age_bins)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f7a61074-2105-4b10-93de-f1baec4f31ee", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "f7a61074-2105-4b10-93de-f1baec4f31ee", + "outputId": "e5eff9b4-d415-4a9d-f7cf-d1c310734f96" + }, + "outputs": [], + "source": [ + "# The dataset is inbalanced with more mild COVID patients than severe\n", + "df['cohort'].value_counts()" + ] + }, + { + "cell_type": "markdown", + "id": "6a150187-a6d7-4e94-8f0e-e952ba73de09", + "metadata": { + "id": "6a150187-a6d7-4e94-8f0e-e952ba73de09" + }, + "source": [ + "## 3) Now we use re-sampling techniques to balance the dataset\n", + "---\n", + "In order to create a mild COVID cohort of the same size as the smaller severe COVID cohort that roughly matches the demographics of the smaller cohort, we need to sample cases from the larger mild COVID cohort through a process called \"undersampling\" until the size of the two cohorts is equal.\n", + "\n", + "\"Undersampling\" refers to a group of techniques designed to balance the class distribution for a classification dataset that has a skewed class distribution and is a common technique used in machine learning to balance imbalanced datasets. In this case, we want to undersample the larger patient cohort while ensuring that the resulting two cohorts have a similar distribution of four demographic variables: sex, race, ethnicity, and age.\n", + "\n", + "The following column headers in the Pandas DataFrame we created above will be used for our sampling script: `sex`, `ethnicity`, `race`, and `age_at_index`." + ] + }, + { + "cell_type": "markdown", + "id": "0ee79442-e1f3-4575-ad3e-10de028da958", + "metadata": { + "id": "0ee79442-e1f3-4575-ad3e-10de028da958" + }, + "source": [ + "### Calculate the Size of the Smaller Cohort:\n", + "\n", + "Determine the size you want for the smaller cohort. If both cohorts need to be of the same size, you can calculate the size as the minimum size of the two cohorts. You can do this by using the `min` function.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f7040419-ed23-4cee-ac72-b03abb18184f", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 34 + }, + "id": "f7040419-ed23-4cee-ac72-b03abb18184f", + "outputId": "254ce3ba-f5c8-4ca1-c958-65b247aa1962" + }, + "outputs": [], + "source": [ + "cohorts = ['mild', 'severe']\n", + "cohort_sizes = {}\n", + "for cohort in cohorts:\n", + " cohort_sizes[cohort] = len(df[df['cohort']==cohort])\n", + "display(cohort_sizes)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "55b7cd74-6583-4812-a0ad-e18c4b3e3559", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "55b7cd74-6583-4812-a0ad-e18c4b3e3559", + "outputId": "f45b24fa-481b-422d-a316-eebdaf78c783" + }, + "outputs": [], + "source": [ + "smaller_cohort_size = min(cohort_sizes.values())\n", + "smaller_cohort_name = list(cohort_sizes.keys())[list(cohort_sizes.values()).index(smaller_cohort_size)]\n", + "sdf = df.loc[df['cohort']==smaller_cohort_name] # smaller cohort DataFrame\n", + "\n", + "larger_cohort_size = max(cohort_sizes.values())\n", + "larger_cohort_name = list(cohort_sizes.keys())[list(cohort_sizes.values()).index(larger_cohort_size)]\n", + "ldf = df.loc[df['cohort']==larger_cohort_name] # larger cohort DataFrame\n", + "\n", + "print(\"The smaller cohort is '{}' with a size of '{}'.\".format(smaller_cohort_name,smaller_cohort_size))\n", + "print(\"The larger cohort is '{}' with a size of '{}'.\".format(larger_cohort_name,larger_cohort_size))" + ] + }, + { + "cell_type": "markdown", + "id": "93ee95c5-66ca-4897-89f9-c833a252d511", + "metadata": { + "id": "93ee95c5-66ca-4897-89f9-c833a252d511" + }, + "source": [ + "### Undersampling:\n", + "\n", + "Now, we undersample the larger cohort to match the smaller cohort's size while maintaining the desired distribution of demographic variables. For this, we'll use the `sample` function in Pandas.\n", + "\n", + "To use the Pandas `sample` function to undersample the larger cohort (mild COVID cases) while considering the four demographic variables and their distribution in the smaller cohort (severe COVID cases), you can create a custom sampling probability based on the distribution of the smaller cohort.\n", + "\n", + "#### Strategy\n", + "---\n", + "1) Determine the frequency of all combinations of demographic properties in the smaller cohort,\n", + "2) Add this frequency to each row in the larger cohort by matching the demographics combinations, and\n", + "3) Undersample the larger cohort using the inverse of these frequencies as weights\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1b77fb61-addd-4a99-8209-e9e6178158c9", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "id": "1b77fb61-addd-4a99-8209-e9e6178158c9", + "outputId": "69e400ba-c119-440f-d126-39e61e962714" + }, + "outputs": [], + "source": [ + "# Make a list of all combinations of demographic variables found in the master DataFrame using pd.value_counts()\n", + "\n", + "# list of properties to consider (dprops: \"demographic properties\")\n", + "#dprops = ['sex','ethnicity']\n", + "dprops = ['sex','ethnicity','race','age_bin']\n", + "\n", + "print(\"Counts of Demographic Property Combinations in Master DataFrame:\")\n", + "mvc = df[dprops].value_counts() # mvc: \"master value counts\"\n", + "#mvc[('Male', 'Not Hispanic or Latino')] # this is how you access individual values\n", + "display(mvc)\n", + "\n", + "print(\"\\nAll Combinations of Demographic Properties in Master DataFrame:\")\n", + "combos = mvc.index.tolist()\n", + "display(combos)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1ec6aa1e-2945-459c-aaa3-daeb455d086f", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "1ec6aa1e-2945-459c-aaa3-daeb455d086f", + "outputId": "06b5b12d-8b14-41d7-e4ea-7a23ac86e732" + }, + "outputs": [], + "source": [ + "# Now look at the frequencies of each demographic combo in the smaller cohort\n", + "svc = sdf[dprops].value_counts(normalize=False).reindex(combos) # svc: \"smaller cohort value counts\"\n", + "print(\"Smaller Cohort Demographics Value Counts\\n{}\\n\\n\".format(svc))\n", + "\n", + "# use normalize=True to get the relative frequencies (count of a demographic / sum of all demographics)\n", + "svf = sdf[dprops].value_counts(normalize=True).reindex(combos) # svf: \"smaller cohort value frequencies\"\n", + "print(\"Smaller Cohort Demographics Frequencies\\n{}\\n\\n\".format(svf))\n", + "\n", + "# sampling weights should be the inverse of their frequencies; less frequent demographics get a higher probability of sampling\n", + "svw = 1/svf # svw: \"smaller cohort value weights\"\n", + "print(\"Smaller Cohort Demographics Weights for Undersampling\\n{}\\n\\n\".format(svw))" + ] + }, + { + "cell_type": "markdown", + "id": "133b2126-e0c2-44c6-9712-c74b5643f0d5", + "metadata": { + "id": "133b2126-e0c2-44c6-9712-c74b5643f0d5" + }, + "source": [ + "Demographics in the larger cohort not represented in the smaller cohort get NaN for counts. Here we'll convert the `NaN`s to `0` to use as weights:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2b737a4c-e4af-4c72-beba-63dddc650a83", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 243 + }, + "id": "2b737a4c-e4af-4c72-beba-63dddc650a83", + "outputId": "9355c255-ae6e-47a4-e166-86ff20d54faf", + "scrolled": true + }, + "outputs": [], + "source": [ + "# Replace NaNs with 0:\n", + "for key in list(svw.keys()):\n", + " if np.isnan(svw[key]):\n", + " svw[key] = 0\n", + "display(svw)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a7277895-c364-4512-917e-51490b1bb2d7", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "a7277895-c364-4512-917e-51490b1bb2d7", + "outputId": "fc91006a-7f54-4938-ac3c-afe4107fb55f" + }, + "outputs": [], + "source": [ + "# Now apply the weights to each row of the larger cohort (mild COVID cases) to use in undersampling\n", + "for combo in combos:\n", + " print(\"{}: {}\".format(combo,svw[combo]))\n", + " ldf.loc[(ldf[dprops[0]] == combo[0]) & (ldf[dprops[1]] == combo[1]) & (ldf[dprops[2]] == combo[2]) & (ldf[dprops[3]] == combo[3]),'weight'] = svw[combo]\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "24965406-a2ee-41e4-8e0c-33e231ff8e16", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 99 + }, + "id": "24965406-a2ee-41e4-8e0c-33e231ff8e16", + "outputId": "6f423178-034d-4536-9467-6a5917dd49c0" + }, + "outputs": [], + "source": [ + "# Double check that all rows in the larger cohort were assigned a weight. If this is an empty DataFrame, then each row has a non-NaN weight.\n", + "ldf.loc[ldf['weight'].isna()]" + ] + }, + { + "cell_type": "markdown", + "id": "17a9dad0-d020-471f-8e7f-4eec7aba59f7", + "metadata": { + "id": "17a9dad0-d020-471f-8e7f-4eec7aba59f7" + }, + "source": [ + "### Undersample the Larger Cohort:\n", + "\n", + "Use the `sample` function with the calculated weights to undersample the larger cohort." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cfbf5f4c-304a-4b20-b297-9183de58483d", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 965 + }, + "id": "cfbf5f4c-304a-4b20-b297-9183de58483d", + "outputId": "ed52b40e-172d-406e-a708-dbc025a5e9e3" + }, + "outputs": [], + "source": [ + "# Undersample the larger cohort (mild COVID cases) using weights\n", + "\n", + "udf = ldf.sample(n=smaller_cohort_size, weights=ldf['weight'], random_state=np.random.RandomState(41)) # undersampled larger cohort DataFrame, can set random_state in order to have reproducible sampling\n", + "#udf = ldf.sample(n=smaller_cohort_size, weights=ldf['weight']) # undersampled larger cohort DataFrame, leave random_state out to get a non-reproducible, random sample\n", + "udf.reset_index(drop=True,inplace=True)\n", + "udf" + ] + }, + { + "cell_type": "markdown", + "id": "9dc6eaa2-0f66-4a14-9284-63581785e084", + "metadata": { + "id": "9dc6eaa2-0f66-4a14-9284-63581785e084" + }, + "source": [ + "### Combine the Two Cohorts:\n", + "\n", + "After undersampling, you'll have two cohorts of the same size, and the larger cohort should be balanced with respect to the four demographic variables.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7093ca7c-79e2-478a-8c33-169c034b909a", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 965 + }, + "id": "7093ca7c-79e2-478a-8c33-169c034b909a", + "outputId": "c7a26214-b4b1-46d2-956e-a491ab209f56" + }, + "outputs": [], + "source": [ + "# Combine the undersampled larger cohort with the smaller cohort\n", + "bdf = pd.concat([udf.drop(columns=[\"weight\"]), sdf]).reset_index(drop=True) # balanced DataFrame\n", + "bdf" + ] + }, + { + "cell_type": "markdown", + "id": "005b208d-eea3-4ea5-8658-fb18319934c9", + "metadata": { + "id": "005b208d-eea3-4ea5-8658-fb18319934c9" + }, + "source": [ + "## 4) Verification:\n", + "\n", + "Ensure that the demographic distributions of the two cohorts are now balanced for all four variables. You can use the `pandas` `groupby` and `value_counts` methods or other appropriate methods to check the distributions.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a41T5PIOgPPR", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "id": "a41T5PIOgPPR", + "outputId": "345dd571-d327-4eef-df00-34e8261a0351" + }, + "outputs": [], + "source": [ + "# Use pandas groupby and plot functions to view relative counts of different demographics in the balanced cohort\n", + "for prop in dprops:\n", + " dfu = bdf.groupby([prop],observed=True).cohort.value_counts().unstack()\n", + " ax = dfu.plot(kind='bar', figsize=(7, 5), xlabel=prop, ylabel='Count', rot=90) # change rot=0 or rot=45 to change x-axis label display angle\n", + " ax.legend(title='cohort', bbox_to_anchor=(1, 1), loc='upper left')" + ] + }, + { + "cell_type": "markdown", + "id": "544761e9", + "metadata": { + "id": "544761e9" + }, + "source": [ + "## The End\n", + "---\n", + "If you have any questions related to this notebook don't hesitate to reach out to the MIDRC Helpdesk at midrc-support@datacommons.io or the author directly at cgmeyer@uchicago.edu\n", + "\n", + "Happy data wrangling!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f6691638", + "metadata": { + "id": "f6691638" + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "colab": { + "provenance": [] + }, + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.0" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/jupyter-midrc/requirements.txt b/jupyter-midrc/requirements.txt new file mode 100644 index 00000000..81f7d9bf --- /dev/null +++ b/jupyter-midrc/requirements.txt @@ -0,0 +1,11 @@ +matplotlib==3.4.2 +plotly==5.6.0 +seaborn==0.11.1 +openpyxl==3.1.2 +pyreadstat==1.2.1 +scikit-learn==1.1.1 +tableone==0.7.12 +lifelines==0.27.4 +bioinfokit==2.1.0 +pydicom==2.4.4 +dicom_csv==0.3.0 From ee0fa0f3294167ab2dd654c3cfcf265b604fec44 Mon Sep 17 00:00:00 2001 From: danbiber Date: Mon, 22 Sep 2025 13:14:37 -0400 Subject: [PATCH 085/108] adding the jupyter-bih container that also contains an example notebook --- jupyter-bih/Dockerfile | 39 + ...cess Using the MIDRC BDF Imaging Hub.ipynb | 953 ++++++++++++++++++ jupyter-bih/requirements.txt | 11 + 3 files changed, 1003 insertions(+) create mode 100644 jupyter-bih/Dockerfile create mode 100644 jupyter-bih/combined_demos/Cohort Building and Data Access Using the MIDRC BDF Imaging Hub.ipynb create mode 100644 jupyter-bih/requirements.txt diff --git a/jupyter-bih/Dockerfile b/jupyter-bih/Dockerfile new file mode 100644 index 00000000..ccf200ad --- /dev/null +++ b/jupyter-bih/Dockerfile @@ -0,0 +1,39 @@ +FROM quay.io/cdis/jupyter-superslim-r:1.0.4 + +WORKDIR /home/jovyan + +# Copy your notebooks and requirements.txt into the container +COPY combined_demos/ /home/jovyan/ +COPY requirements.txt /home/jovyan/ + +USER root + +# Install system and dev dependencies +RUN apt-get update && apt-get install -y --no-install-recommends \ + curl \ + python3 \ + python3-pip \ + g++ \ + libxml2-dev \ + libssl-dev \ + libcurl4-openssl-dev \ + libssh2-1-dev \ + zlib1g-dev \ + openssl \ + gdebi-core \ + libgsl* \ + libudunits2-dev \ + libgs-dev \ + unzip \ + wget \ + && apt-get clean \ + && rm -rf /var/lib/apt/lists/* + +# Install Python packages from requirements.txt +RUN pip3 install --upgrade pip && \ + pip3 install --no-cache-dir -r requirements.txt && \ + rm requirements.txt + +USER jovyan + +CMD ["start-notebook.sh"] diff --git a/jupyter-bih/combined_demos/Cohort Building and Data Access Using the MIDRC BDF Imaging Hub.ipynb b/jupyter-bih/combined_demos/Cohort Building and Data Access Using the MIDRC BDF Imaging Hub.ipynb new file mode 100644 index 00000000..dc0d8693 --- /dev/null +++ b/jupyter-bih/combined_demos/Cohort Building and Data Access Using the MIDRC BDF Imaging Hub.ipynb @@ -0,0 +1,953 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "49aa0dff-bb18-4636-9587-027ccf792b5b", + "metadata": {}, + "source": [ + "# Cohort Building and Data Access Using the MIDRC BDF Imaging Hub\n", + "\n", + "---\n", + "\n", + "This notebook briefly demonstrates how to use the MIDRC Biomedical Imaging Hub (BIH) APIs to discover medical imaging datasets across the Biomedical Data Fabric (BDF), including those in data resources other than the MIDRC data commons.\n", + "\n", + "Anything a user can do in the [MIDRC BIH Explorer graphical user interface](https://imaging-hub.data-commons.org/Explorer), including using complex search criteria to select similar subsets of images distributed across multiple repositories, can also be achieved programmatically using API requests.\n", + "\n", + "by Chris Meyer, PhD\n", + "\n", + "August 2025" + ] + }, + { + "cell_type": "markdown", + "id": "beadf33b-8d25-49e0-863c-cf05a4da0afc", + "metadata": {}, + "source": [ + "## 1) Set up Python environment\n", + "---" + ] + }, + { + "cell_type": "markdown", + "id": "92e9c01e-43bd-4a24-b23c-aad74ba49356", + "metadata": {}, + "source": [ + "### Download an API key file containing your credentials\n", + "---\n", + "1) Navigate to the MIDRC BIH login page in your browser: https://imaging-hub.data-commons.org/portal/login.\n", + "2) Navigate to the user profile page: https://imaging-hub.data-commons.org/portal/identity.\n", + "3) Click on the button \"Create API Key\" and save the `credentials.json` file somewhere safe as `bih-credentails.json`." + ] + }, + { + "cell_type": "markdown", + "id": "a373f3c5-1ca9-42e8-bf6b-2b00f3ec712c", + "metadata": {}, + "source": [ + "### Set local variables\n", + "---\n", + "Change the following `bcred` variable path to point to your credentials file downloaded from the MIDRC data portal following the instructions above." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "352e165b-0cee-4853-bc0c-27ff8df22aba", + "metadata": {}, + "outputs": [], + "source": [ + "bcred = \"/Users/cgmeyer/Downloads/bih-credentials.json\" # location of your MIDRC BIH credentials, downloaded from https://imaging-hub.data-commons.org/portal/identity by clicking \"Create API key\" button and saving the credentials.json locally\n", + "bapi = \"https://imaging-hub.data-commons.org\" # The base URL of the resource being queried. This shouldn't change for MIDRC BIH\n" + ] + }, + { + "cell_type": "markdown", + "id": "414514f9-c452-4760-9530-8cc9454c8100", + "metadata": {}, + "source": [ + "### Install / Import Python Packages and Scripts" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "70dae3d6-42cc-4cc2-b82a-233397035c94", + "metadata": {}, + "outputs": [], + "source": [ + "## The packages below may be necessary for users to install according to the imports necessary in the subsequent cells.\n", + "## Uncomment the lines for packages you may need to install\n", + "\n", + "import sys\n", + "#!{sys.executable} -m pip install\n", + "#!{sys.executable} -m pip install --upgrade pandas\n", + "#!{sys.executable} -m pip install --upgrade --ignore-installed PyYAML\n", + "#!{sys.executable} -m pip install --upgrade pip\n", + "#!{sys.executable} -m pip install --upgrade gen3\n", + "#!{sys.executable} -m pip install pydicom\n", + "#!{sys.executable} -m pip install --upgrade Pillow\n", + "#!{sys.executable} -m pip install psmpy\n", + "#!{sys.executable} -m pip install python-gdcm --upgrade\n", + "#!{sys.executable} -m pip install pylibjpeg --upgrade\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c012d64e-6b3e-4fd4-b0eb-5dad100c9fe0", + "metadata": {}, + "outputs": [], + "source": [ + "## Import Python Packages and scripts\n", + "\n", + "import os, subprocess\n", + "import pandas as pd\n", + "import numpy as np\n", + "import pydicom\n", + "from PIL import Image\n", + "import glob\n", + "#import gdcm\n", + "#import pylibjpeg\n", + "\n", + "# import some Gen3 packages\n", + "import gen3\n", + "from gen3.auth import Gen3Auth\n", + "from gen3.query import Gen3Query\n", + "from IPython.display import display" + ] + }, + { + "cell_type": "markdown", + "id": "810a9306-b860-4037-8bd2-2b0ac21e2b3a", + "metadata": {}, + "source": [ + "### Initiate instances of the Gen3 SDK Classes using your credentials file for authentication\n", + "---\n", + "Again, make sure the \"bcred\" directory path variable reflects the location of _your_ credentials file (path variables set above)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2705a836-b9f5-483d-bc59-b14154b67604", + "metadata": {}, + "outputs": [], + "source": [ + "bauth = Gen3Auth(bapi, refresh_file=bcred) # authentication class\n", + "bquery = Gen3Query(bauth) # query class\n" + ] + }, + { + "cell_type": "markdown", + "id": "22da7b26-02ea-44bc-89aa-ca2a9c6d879f", + "metadata": {}, + "source": [ + "## 2) Build Cohorts by Sending Queries to the MIDRC BIH Metadata API\n", + "---\n", + "\n", + "Currently, there are four views of the imaging data in MIDRC BIH: datasets, patients, imaging studies, and imaging series. These four views correspond to four \n", + "\n", + "\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "e5d61d93-0354-443a-afb1-b899986ecaee", + "metadata": {}, + "source": [ + "### Find Imaging Studies of Interest\n", + "\n", + "* Here, we'll send a query to the `imaging_study` index, which is the default table view in the [MIDRC BIH data explorer GUI](https://data.midrc.org/explorer).\n", + "* The filters defined below can be added to, removed, or modified to return different subsets of imaging studies.\n", + "* If our query request is successful, the API response should be in JSON format. The response will be a list of structured data records, each corresponding to a single imaging study. \n", + "* The Gen3 query service \"guppy\" has extensive documentation in GitHub [here](https://github.com/uc-cdis/guppy/blob/master/doc/queries.md), which will guide you through query syntax, available types of filters, operators, etc." + ] + }, + { + "cell_type": "markdown", + "id": "f6e82c61-1133-4cb8-b8d8-2969e68d3ff0", + "metadata": {}, + "source": [ + "#### Fetch the Query Schema \n", + "---\n", + "\n", + "In order to see all the fields available to use in queries as filter parameters, we can send a request to [get the query schema/mapping](https://github.com/uc-cdis/guppy/blob/master/doc/queries.md#mapping-query). Here we specify the imaging_study index to see all the fields in BIH related to imaging studies.\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9d2840f5-eb2b-462b-96b4-b27d206b3edf", + "metadata": {}, + "outputs": [], + "source": [ + "query_string = \"\"\"{\n", + " _mapping {\n", + " imaging_study\n", + " }\n", + "}\"\"\"\n", + "bquery.graphql_query(query_string=query_string,variables=None)\n" + ] + }, + { + "cell_type": "markdown", + "id": "9bf8cb79-ca5f-48e9-9849-c25784a2c63c", + "metadata": {}, + "source": [ + "#### Set some filter values to subset the imaging studies in BIH" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a7574513-f417-47a0-bc51-a7c5bb374f14", + "metadata": {}, + "outputs": [], + "source": [ + "## Find imaging studies with the following parameters:\n", + "StudyDescription = [\"XR Chest AP or PA\", \n", + " \"CHEST AP PORT\",\n", + " \"CHEST PORT 1 VIEW (RAD)-CS\",\n", + " \"CHEST PA & LATERAL (RAD)-CS\",\n", + " \"CHEST AP VIEWONLY\",\n", + " \"Portable Chest\",\n", + " \"Chest Portable\",\n", + " \"CHEST AP PORTABLE\"]\n", + "\n", + "## Filter studies based on some patient attributes:\n", + "PatientSex = \"Male\"\n", + "\n", + "min_PatientAge = 65\n", + "max_PatientAge = 70\n", + "\n", + "EthnicGroup = [\"Non-Hispanic/Non-Latino\",\n", + " \"Not Hispanic or Latino\"]\n", + "\n", + "race = [\"Black\",\n", + " \"Black or African American\"]\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "68251723-abfd-40da-aa4c-a6d917c60b24", + "metadata": {}, + "outputs": [], + "source": [ + "studies = bquery.raw_data_download(\n", + " data_type=\"imaging_study\",\n", + " fields=None,\n", + " filter_object={\n", + " \"AND\": [\n", + " {\"IN\": {\"StudyDescription\": StudyDescription}},\n", + " {\"=\": {\"PatientSex\": PatientSex}},\n", + " {\"IN\": {\"EthnicGroup\": EthnicGroup}},\n", + " {\"IN\": {\"race\": race}},\n", + " {\"AND\":[{\">=\":{\"PatientAge\":min_PatientAge}},{\"<=\":{\"PatientAge\":max_PatientAge}}]}\n", + " ]\n", + " },\n", + " )\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "312eec6f-8fdd-4e0f-b257-626ba6c30c19", + "metadata": {}, + "outputs": [], + "source": [ + "# Summarize the query response\n", + "if len(studies) > 0:\n", + " study_ids = list(set([i['submitter_id'] for i in studies if 'submitter_id' in i])) ## make a list of the imaging study IDs returned\n", + " platforms = list(set([rec['commons_name'][0] for rec in studies if 'commons_name' in rec])) ## make a list of the imaging study IDs returned\n", + " subject_ids = list(set([rec['subject_id'][0] for rec in studies if 'subject_id' in rec])) ## make a list of the imaging studiy IDs returned\n", + " print(f\"Query returned {len(studies)} imaging studies for {len(subject_ids)} subjects across {len(platforms)} platforms: {platforms}.\")\n", + " print(\"Data is a list with rows like this:\")\n", + " for k,v in studies[0:1][0].items():\n", + " print(\"\\t\\'{}' : '{}'\".format(k,v))\n", + "else:\n", + " print(\"Your query returned no data! Please, check that query parameters are valid.\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e7b28c6e-31d1-4d9d-baf4-b9f21d455841", + "metadata": {}, + "outputs": [], + "source": [ + "studies_df = pd.DataFrame(studies)\n", + "display(studies_df)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6427e7c2-79be-49d1-9fbd-64eb45ee30e2", + "metadata": {}, + "outputs": [], + "source": [ + "## Export the file metadata as a TSV file\n", + "filename = \"MIDRC_BIH_imaging_studies_metadata.tsv\"\n", + "studies_df.to_csv(filename, sep='\\t')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "785525f9-a51d-418d-92c2-513bc37386b4", + "metadata": {}, + "outputs": [], + "source": [ + "## Explore counts of patient demographics\n", + "display(studies_df.value_counts('EthnicGroup'))\n", + "race_df = studies_df['race'].explode()\n", + "display(race_df.value_counts())\n", + "display(studies_df['StudyDescription'].value_counts())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9abb1c9b-c933-4b15-a06d-cca76a0fd3bf", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "9179a10b-d5c4-455e-8c59-80657dba4824", + "metadata": {}, + "source": [ + "### Find Imaging Series of Interest\n", + "---\n", + "Now we will search over the >1M imaging series indexed in the MIDRC BIH. \n", + "* First, we'll send a request to get the imaging_series schema/mapping.\n", + "* Then we'll set some values to use as filters in our data download request using the same [raw_data_download](https://github.com/uc-cdis/gen3sdk-python/blob/2b4fb5ad9facd7cd37818743b558251b48e1f219/gen3/query.py#L146) SDK function we used earlier for imaging studies.\n", + "* The API response should be a list of structured data records, each one corresponding to a single imaging series indexed in MIDRC BIH." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "aa60445e-4f46-4a80-9719-f1a20d688ec7", + "metadata": {}, + "outputs": [], + "source": [ + "query_string = \"\"\"{\n", + " _mapping {\n", + " imaging_series\n", + " }\n", + "}\"\"\"\n", + "bquery.graphql_query(query_string=query_string,variables=None)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "38982d2c-9758-492c-8376-a418b4cdfdb9", + "metadata": {}, + "outputs": [], + "source": [ + "### Set some \"imaging_series\" query parameters to select Lung CT imaging series for female patients with Lung Cancer\n", + "\n", + "## Here we select imaging series with a BodyPartExamined of \"Chest\"\n", + "BodyPartExamined = [\"LUNG\",\"CHEST\"]\n", + "\n", + "## Here we select imaging series with a Modality of \"CT\"\n", + "Modality = \"CT\"\n", + "\n", + "## Here we select imaging series with a PatientSex of \"Female\"\n", + "PatientSex = \"Female\"\n", + "\n", + "## Here we select imaging series with a disease_type of \"COVID-19\"\n", + "#disease_type = [\"Non-small Cell Lung Cancer\",\n", + "# \"Lung Cancer\"]\n", + "\n", + "disease_type = [\"COVID-19\"]\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8ff18aae-caa1-4340-9011-ea04ef4091aa", + "metadata": {}, + "outputs": [], + "source": [ + "series = bquery.raw_data_download(\n", + " data_type=\"imaging_series\",\n", + " fields=None,\n", + " filter_object={\n", + " \"AND\": [\n", + " {\"IN\": {\"BodyPartExamined\": BodyPartExamined}},\n", + " {\"=\": {\"Modality\": Modality}},\n", + " {\"=\": {\"PatientSex\": PatientSex}},\n", + " {\"IN\": {\"disease_type\": disease_type}},\n", + " ]\n", + " },\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "66d687e2-80ac-4fd8-8542-7a11074deec3", + "metadata": {}, + "outputs": [], + "source": [ + "if len(series) > 0:\n", + " series_ids = list(set([i['submitter_id'] for i in series if 'submitter_id' in i])) ## make a list of the imaging series IDs returned\n", + " object_ids = list(set([rec['object_ids'][0] for rec in series if 'object_ids' in rec and rec['object_ids'] is not None])) ## make a list of the imaging series IDs returned\n", + " platforms = list(set([rec['commons_name'][0] for rec in series if 'commons_name' in rec])) ## make a list of the imaging study IDs returned\n", + " subject_ids = list(set([rec['subject_id'][0] for rec in series if 'subject_id' in rec])) ## make a list of the imaging series IDs returned\n", + " print(f\"Query returned {len(series)} imaging series for {len(subject_ids)} subjects across {len(platforms)} platforms: {platforms}.\")\n", + " print(\"Data is a list with rows like this:\")\n", + " for k,v in series[0:1][0].items():\n", + " print(\"\\t\\'{}' : '{}'\".format(k,v))\n", + "else:\n", + " print(\"Your query returned no data! Please, check that query parameters are valid.\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "85f92e14-741d-4a5b-b60c-0917b073c682", + "metadata": {}, + "outputs": [], + "source": [ + "series_df = pd.DataFrame(series)\n", + "display(series_df)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e1f3b02a-944d-4bcc-aabd-00c72f59d9af", + "metadata": {}, + "outputs": [], + "source": [ + "## Export the file metadata as a TSV file\n", + "filename = \"MIDRC_BIH_imaging_series_metadata.tsv\"\n", + "series_df.to_csv(filename, sep='\\t')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0cfa6693-3d93-4156-8b23-bf777f773348", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "c2563166-d507-402b-bc31-704cf5207650", + "metadata": {}, + "source": [ + "### Find Patient Cohorts of Interest\n", + "\n", + "* Here, we'll send a query to the `subject` index, which corresponds to the Subjects tab of the MIDRC BIH Explorer GUI.\n", + "* First, we'll specify some values of subject attributes to send as filters, then we'll send our query request using the Gen3 SDK.\n", + "* The response should be a list of structured records each one of which corresponds to a single subject indexed in BIH." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2d002908-9b68-4451-b8fa-2356a5dd406e", + "metadata": {}, + "outputs": [], + "source": [ + "query_string = \"\"\"{\n", + " _mapping {\n", + " subject\n", + " }\n", + "}\"\"\"\n", + "bquery.graphql_query(query_string=query_string,variables=None)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "039f26ed-4b49-4329-a919-5d47868e9f5e", + "metadata": {}, + "outputs": [], + "source": [ + "### Set some \"subject\" query parameters to select subjects in BIH with NSCLC\n", + "race = \"Asian\"\n", + "disease_type = \"Breast Cancer\"\n", + "primary_site = \"Breast\"\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fb20015e-43fb-4e22-8636-d9829470fdf0", + "metadata": {}, + "outputs": [], + "source": [ + "subjects = bquery.raw_data_download(\n", + " data_type=\"subject\",\n", + " fields=None,\n", + " filter_object={\n", + " \"AND\": [\n", + " {\"=\": {\"race\": race}},\n", + " {\"=\": {\"primary_site\": primary_site}},\n", + " {\"=\": {\"disease_type\": disease_type}},\n", + " ]\n", + " },\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fea78634-899f-480d-a9fa-82af9d6916ee", + "metadata": {}, + "outputs": [], + "source": [ + "if len(subjects) > 0:\n", + " subject_ids = list(set([i['submitter_id'] for i in subjects if 'submitter_id' in i])) \n", + " platforms = list(set([rec['commons_name'][0] for rec in subjects if 'commons_name' in rec])) ## make a list of the imaging study IDs returned\n", + " print(f\"Query returned {len(subjects)} subjects across {len(platforms)} platform(s): {platforms}.\")\n", + " print(\"Data is a list with rows like this:\")\n", + " for k,v in subjects[0:1][0].items():\n", + " print(\"\\t\\'{}' : '{}'\".format(k,v))\n", + "else:\n", + " print(\"Your query returned no data! Please, check that query parameters are valid.\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4347ddd0-d756-4929-b6be-22dbdec04fb7", + "metadata": {}, + "outputs": [], + "source": [ + "subjects_df = pd.DataFrame(subjects)\n", + "display(subjects_df)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c21c372f-d90e-4959-ab9b-7574f24a28a8", + "metadata": {}, + "outputs": [], + "source": [ + "## Export the file metadata as a TSV file\n", + "filename = \"MIDRC_BIH_imaging_subjects_metadata.tsv\"\n", + "subjects_df.to_csv(filename, sep='\\t')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "55ac8006-194f-4a19-b39e-a27ef277e89d", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "f21285b9-9bb2-448b-8eed-1ff7dd1b06fa", + "metadata": {}, + "source": [ + "### Find Datasets of Interest\n", + "\n", + "* Here, we'll send a query to the `dataset` index, which corresponds to the Datasets tab of the MIDRC BIH Explorer GUI.\n", + "* First, we'll specify some values of dataset attributes to send as filters, then we'll send our query request using the Gen3 SDK.\n", + "* The response should be a list of structured records each one of which corresponds to a single dataset indexed in BIH." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4cd0b797-5ca7-4be7-a5d0-589eaae1dd61", + "metadata": {}, + "outputs": [], + "source": [ + "query_string = \"\"\"{\n", + " _mapping {\n", + " dataset\n", + " }\n", + "}\"\"\"\n", + "bquery.graphql_query(query_string=query_string,variables=None)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "980a2185-3eea-44c0-923a-acf2961c181d", + "metadata": {}, + "outputs": [], + "source": [ + "### Set some \"dataset\" query parameters to select datasets in BIH\n", + "disease_type = \"Non-small Cell Lung Cancer\"\n", + "primary_site = [\"Lung\",\"Chest\",\"Esophagus, Lung, Pancreas, Thymus\"]\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e8a4e6e6-583d-4c52-b955-e5bcfd6d6765", + "metadata": {}, + "outputs": [], + "source": [ + "datasets = bquery.raw_data_download(\n", + " data_type=\"dataset\",\n", + " fields=None,\n", + " filter_object={\n", + " \"AND\": [\n", + " {\"=\": {\"disease_type\": disease_type}},\n", + " {\"IN\": {\"primary_site\": primary_site}},\n", + " ]\n", + " },\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cc547305-8739-4617-8d5b-83143b8f9da9", + "metadata": {}, + "outputs": [], + "source": [ + "if len(datasets) > 0:\n", + " platforms = list(set([rec['commons_name'] for rec in datasets if 'commons_name' in rec])) ## make a list of the imaging study IDs returned\n", + " print(f\"Query returned {len(datasets)} datasets across {len(platforms)} platform(s): {platforms}.\")\n", + " print(\"Data is a list with rows like this:\")\n", + " for k,v in datasets[0:1][0].items():\n", + " print(\"\\t\\'{}' : '{}'\".format(k,v))\n", + "else:\n", + " print(\"Your query returned no data! Please, check that query parameters are valid.\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e70e1653-6e51-432e-9ba2-9760839fd92e", + "metadata": {}, + "outputs": [], + "source": [ + "datasets_df = pd.DataFrame(datasets)\n", + "display(datasets_df.sort_values(by='submitter_id', key=lambda col: col.str.lower(), ascending=False))" + ] + }, + { + "cell_type": "markdown", + "id": "b950a64b-74b8-4155-9126-5c7cdba70255", + "metadata": {}, + "source": [ + "* Note: There are some datasets that may be hosted by more than one repository. Researchers should ensure they are not including duplicates in any analyses or AI training sets. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "20748125-004c-4778-8efc-36b718cab930", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "f700bcc2-7ec5-4ebb-bf9a-4635b9429722", + "metadata": {}, + "source": [ + "## 3) Access image files using their object_id / data GUID (globally unique identifiers)\n", + "---\n", + "There are a number of ways to access the image files indexed in MIDRC BIH. In general, users will need to understand the host platform's process for downloading files, but for Gen3-powered data commons like the MIDRC Data Commons, once we have a list of object_ids / image GUIDs we want to download, we can use either the gen3-client or the gen3 SDK to download the files. \n", + "\n", + "In order to programmatically access files for MIDRC imaging series indexed in MIDRC BIH, users can reference the file's object_id (AKA \"data GUID\" or \"Globally Unique IDentifier\", which is an example of a GA4GH DRS URI).\n", + "\n", + "Once we have a list of GUIDs we want to download, we can use either the gen3-client or the gen3 SDK to download the files. You can also access individual files in your browser after logging-in and entering the GUID after the `files/` endpoint, as in this URL: https://data.midrc.org/files/GUID\n", + "\n", + "where GUID is the actual GUID, e.g.: https://data.midrc.org/files/dg.MD1R/b87d0db3-d95a-43c7-ace1-ab2c130e04ec\n", + "\n", + "For instructions on how to install and use the gen3-client, please see [the MIDRC quick-start guide](https://data.midrc.org/dashboard/Public/documentation/Gen3_MIDRC_GetStarted.pdf).\n", + "\n", + "Below we use the gen3 SDK command `gen3 drs-pull object` which is [documented in detail here](https://github.com/uc-cdis/gen3sdk-python/blob/master/docs/howto/drsDownloading.md).\n" + ] + }, + { + "cell_type": "markdown", + "id": "03dd27b5-c169-419f-a4bb-9c1348a38e26", + "metadata": {}, + "source": [ + "### Get credentials from the host platform MIDRC Data Commons" + ] + }, + { + "cell_type": "markdown", + "id": "c50cb8fe-81a6-4cc7-8aef-a9266b323cdd", + "metadata": {}, + "source": [ + "### Download an API key file containing your credentials\n", + "---\n", + "1) Navigate to the MIDRC data portal in your browser: https://data.midrc.org.\n", + "2) Read and accept the DUA (if you haven't already).\n", + "3) Navigate to the user profile page: https://data.midrc.org/identity\n", + "4) Click on the button \"Create API Key\" and save the `credentials.json` file somewhere safe\n", + "5) Change the following `cred` variable path to point to your credentials file downloaded from the MIDRC data portal following the instructions above." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6543ffb1-2212-4c51-b8ec-629393e68707", + "metadata": {}, + "outputs": [], + "source": [ + "cred = \"/Users/cgmeyer/Downloads/midrc-credentials.json\" # location of your MIDRC credentials, downloaded from https://data.midrc.org/identity by clicking \"Create API key\" button and saving the credentials.json locally" + ] + }, + { + "cell_type": "markdown", + "id": "fdefd4ae-29d7-4a1d-8f6e-8a7e0092d68b", + "metadata": {}, + "source": [ + "### Make a list of object_ids to download" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b51da5bd-4499-44e1-9308-bdc62b010ae8", + "metadata": {}, + "outputs": [], + "source": [ + "## get subset of imaging series that have object_ids\n", + "series_with_files = [rec for rec in series if 'object_ids' in rec and rec['object_ids'] is not None]\n", + "\n", + "## make a list of the imaging series IDs returned\n", + "object_ids = list(set([rec['object_ids'][0] for rec in series])) \n", + "\n", + "print(f\"Found {len(object_ids)} object_ids for the {len(series)} imaging series select in BIH.\")\n" + ] + }, + { + "cell_type": "markdown", + "id": "4cd28f4e-19b7-45d1-bc15-70d53e47b1ad", + "metadata": {}, + "source": [ + "### Use the Gen3 SDK command `gen3 drs-pull object` to download an individual file" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4c84520c-02d1-4410-bc84-42e541356a46", + "metadata": {}, + "outputs": [], + "source": [ + "## Make a new directory for downloaded files\n", + "if os.path.exists(\"downloads\"):\n", + " os.system(\"rm -r downloads\")\n", + "os.system(\"mkdir -p downloads\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3cff00ff-12d0-4d4e-90ec-5b5bd6572ace", + "metadata": {}, + "outputs": [], + "source": [ + "## We can use a simple loop to download all files and keep track of successes and failures\n", + "max_downloads = 3\n", + "success,failure,other=[],[],[]\n", + "count,total = 0,len(object_ids)\n", + "for object_id in object_ids[0:max_downloads]:\n", + " count+=1\n", + " cmd = \"gen3 --auth {} --endpoint data.midrc.org drs-pull object {} --output-dir downloads\".format(cred,object_id)\n", + " stout = subprocess.run(cmd, shell=True, capture_output=True)\n", + " print(\"Progress ({}/{}): {}\".format(count,total,stout.stdout))\n", + " if \"failed\" in str(stout.stdout):\n", + " failure.append(object_id)\n", + " elif \"successfully\" in str(stout.stdout):\n", + " success.append(object_id)\n", + " else:\n", + " other.append(object_id)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7a3bfe58-8a00-481e-aede-4178324d3ccc", + "metadata": {}, + "outputs": [], + "source": [ + "# Get a list of all downloaded .dcm files\n", + "## NOTE: Since we've downloaded some zip files containing entire imaging series from MIDRC, the number of files may be more than the number of object_ids once the packages are unzipped\n", + "image_files = glob.glob(pathname='**/*.dcm',recursive=True,)\n", + "print(f\"Found {len(image_files)} image files in the downloads directory.\")\n", + "image_files" + ] + }, + { + "cell_type": "markdown", + "id": "0769486f-6471-4353-9f36-c646b133fc17", + "metadata": {}, + "source": [ + "### View the DICOM Images\n", + "---\n", + "Here we'll use the [Python package `pydicom`](https://pydicom.github.io/pydicom/stable/) to view the downloaded DICOM images. \n", + "\n", + "Note that some of the files may contain compressed pixel data that require other packages to view; so, for this demo we'll simply skip over those using the following loop." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4d222c78-49c0-4217-9ca4-6d944d21609e", + "metadata": {}, + "outputs": [], + "source": [ + "max_view = 1 # just view the first one for demo purposes\n", + "for image_file in image_files[0:max_view]:\n", + " print(image_file)\n", + " ds = pydicom.dcmread(image_file)\n", + " try:\n", + " new_image = ds.pixel_array.astype(float)\n", + " scaled_image = (np.maximum(new_image, 0) / new_image.max()) * 255.0\n", + " scaled_image = np.uint8(scaled_image)\n", + " final_image = Image.fromarray(scaled_image)\n", + " print(type(final_image))\n", + " display(final_image)\n", + " except Exception as e:\n", + " print(\"Couldn't view {}: {}.\".format(image_file,e))" + ] + }, + { + "cell_type": "markdown", + "id": "fc0e69b6-72f0-483d-851a-41609bdf02a9", + "metadata": {}, + "source": [ + "### View the DICOM Headers\n", + "---\n", + "DICOM files have metadata elements embedded in the images. These can also be read and viewed using the `pydicom` package." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d6d6bd79-1c0b-43e7-9ea0-a2ace63a5aa5", + "metadata": {}, + "outputs": [], + "source": [ + "ds = pydicom.dcmread(image_files[0],force=True)\n", + "display(ds)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f306b316-967b-47f1-ba0b-4109c43717b2", + "metadata": {}, + "outputs": [], + "source": [ + "# Access individual elements using tags or codes\n", + "display(ds.file_meta)\n", + "display(ds.ImageType)\n", + "display(ds[0x0008, 0x0016])\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ef255252-4452-4459-a3ad-e058082190c5", + "metadata": {}, + "outputs": [], + "source": [ + "# View the dicom metadata for all files as a DataFrame\n", + "dfs = []\n", + "for image_file in image_files:\n", + " ds = pydicom.dcmread(image_file)\n", + " df = pd.DataFrame(ds.values())\n", + " df[0] = df[0].apply(lambda x: pydicom.dataelem.DataElement_from_raw(x) if isinstance(x, pydicom.dataelem.RawDataElement) else x)\n", + " df['name'] = df[0].apply(lambda x: x.name)\n", + " df['value'] = df[0].apply(lambda x: x.value)\n", + " df = df[['name', 'value']]\n", + " df = df.set_index('name').T.reset_index(drop=True)\n", + " df['filename'] = image_file\n", + " df.drop(columns=['Pixel Data'],inplace=True) # drop the pixel data as it's too large and nonsensical to store in a DataFrame\n", + " dfs.append(df)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9a93f7d4-73c1-4119-80d5-25ec1257ba1b", + "metadata": {}, + "outputs": [], + "source": [ + "# Make a master dataframe for all images using only headers in all dataframes\n", + "headers = list(set.intersection(*map(set,dfs)))\n", + "df = pd.concat([df[headers] for df in dfs])\n", + "df.set_index('filename',inplace=True)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fbecc35a-26ab-4450-8ca3-43b1cf6d2528", + "metadata": {}, + "outputs": [], + "source": [ + "display(df)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "24c30854-181c-4a11-94a4-fc580ae5d6e6", + "metadata": {}, + "outputs": [], + "source": [ + "## Export the file metadata as a TSV file\n", + "filename = \"MIDRC_DICOM_metadata.tsv\"\n", + "df.to_csv(filename, sep='\\t')\n" + ] + }, + { + "cell_type": "markdown", + "id": "6c593461-e6f2-445e-bf1b-db0968c6b582", + "metadata": {}, + "source": [ + "## The End\n", + "---\n", + "If you have any questions related to this notebook don't hesitate to reach out to the MIDRC Helpdesk at midrc-support@gen3.org or the author directly at cgmeyer@uchicago.edu\n", + "\n", + "Happy data wrangling!" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.5" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/jupyter-bih/requirements.txt b/jupyter-bih/requirements.txt new file mode 100644 index 00000000..81f7d9bf --- /dev/null +++ b/jupyter-bih/requirements.txt @@ -0,0 +1,11 @@ +matplotlib==3.4.2 +plotly==5.6.0 +seaborn==0.11.1 +openpyxl==3.1.2 +pyreadstat==1.2.1 +scikit-learn==1.1.1 +tableone==0.7.12 +lifelines==0.27.4 +bioinfokit==2.1.0 +pydicom==2.4.4 +dicom_csv==0.3.0 From f6a75c1e4f8592bb7cbdcd5141131ee7b60e4912 Mon Sep 17 00:00:00 2001 From: smvgarcia <111767892+smvgarcia@users.noreply.github.com> Date: Mon, 22 Sep 2025 15:31:19 -0500 Subject: [PATCH 086/108] add brh-welcome to BRH generic image --- .../generic_rkernel/brh-welcome.html | 79 +++++++++++++++++++ 1 file changed, 79 insertions(+) create mode 100644 BRH-notebooks/generic_rkernel/brh-welcome.html diff --git a/BRH-notebooks/generic_rkernel/brh-welcome.html b/BRH-notebooks/generic_rkernel/brh-welcome.html new file mode 100644 index 00000000..8fd87c9f --- /dev/null +++ b/BRH-notebooks/generic_rkernel/brh-welcome.html @@ -0,0 +1,79 @@ + + +Generic Workspace + + +

Welcome to the BRH Workspace

+
+

This is your personal workspace. No one else can access the data or files here.

+

You can learn more about using the BRH Workspace in the + BRH Documentation. +

+

The /pd folder (find it in the panel on the left) is your persistent drive: +

+
    +
  • Use this folder to store files (notebooks, data files, etc) that you want to use again later. + The files you save here will still be available when you come back after terminating your workspace session.
    • +
  • Any files you create or add outside of this folder will be lost if they are not moved to the /pd + before your workspace session terminates.
    • +
  • This image has a /pd with a storage capacity limit of 2Gi
    • +
+

The folder /brh.data-commons.org in the /data folder will host any data files you have downloaded to the workspace through the BRH Discovery Page. Move these files to the /pd directory if you want to access them again after you terminate your workspace session. +

+

Get started with Data Exploration

+

Open a new "Launcher" tab by clicking the + next to brh-welcome.html tab at the + top of this document. +

+

From the Launcher tab, you can open: a new, empty Jupyter notebook; open a new code console or terminal window; or, + create several types of files (text, Markdown, Python). For notebooks or files - remember to move the file into the + /pd drive if you want to access them in a later workspace session. +

+

Learn how to download data files through the BRH discovery page in our documentation. +

+

Install software tools by using pip install (Python) or CRAN (R). + If you have a requirements text, you can install them with pip install -r requirements.txt. + You can view all pre-installed software packages by opening a terminal window and using the command pip list +

+

Find some examples of analyses that can be done in the BRH Workspace on the + BRH Example Analyses page. +

+

If the locally-stored files you wish to analyze are large in number and/or size, you may need to zip them before + uploading to a workspace. Once in a workspace, files can be unzipped using the python library + zipfile. +

+

Note:The Generic Jupyter Lab image is currently sized for small analyses and testing. + The maximum storage in the /pd (including any notebooks or tools installed) is 2Gi. + If you need a larger image for your analyses, please reach out to the BRH support team at + brhsupport@gen3.org to discuss the possibility of a larger image. +

+

Funding a persistent paymodel

+

To learn how to fund your workspace after your trial period ends, visit our documentation on + persistent paymodels. +

+
From ef6db741c66fe790b79700dddae8aa3f92e09ecf Mon Sep 17 00:00:00 2001 From: Sai Shanmukha Narumanchi Date: Tue, 23 Sep 2025 14:05:18 -0500 Subject: [PATCH 087/108] Add MIDRC-BIH Container GH action (#259) --- .github/workflows/build_jupyter_bih_image.yml | 22 +++++++++++++++++++ 1 file changed, 22 insertions(+) create mode 100644 .github/workflows/build_jupyter_bih_image.yml diff --git a/.github/workflows/build_jupyter_bih_image.yml b/.github/workflows/build_jupyter_bih_image.yml new file mode 100644 index 00000000..65d2876d --- /dev/null +++ b/.github/workflows/build_jupyter_bih_image.yml @@ -0,0 +1,22 @@ +name: Build and Push Jupyter-BIH image + +on: + push: + paths: + - jupyter-bih/** + - .github/workflows/build_jupyter_bih_image.yml + +jobs: + jupyter-midrc-bih: + name: Build and Push jupyter-bih image + uses: uc-cdis/.github/.github/workflows/image_build_push.yaml@master + with: + DOCKERFILE_LOCATION: "./jupyter-bih/Dockerfile" + DOCKERFILE_BUILD_CONTEXT: "./jupyter-bih" + OVERRIDE_REPO_NAME: "jupyter-notebook" + OVERRIDE_TAG_NAME: "bih-$(echo ${GITHUB_REF#refs/*/} | tr / _)" + secrets: + ECR_AWS_ACCESS_KEY_ID: ${{ secrets.ECR_AWS_ACCESS_KEY_ID }} + ECR_AWS_SECRET_ACCESS_KEY: ${{ secrets.ECR_AWS_SECRET_ACCESS_KEY }} + QUAY_USERNAME: ${{ secrets.QUAY_USERNAME }} + QUAY_ROBOT_TOKEN: ${{ secrets.QUAY_ROBOT_TOKEN }} From 25b785fb8b0515c3e8b91431774e6ae522d906fc Mon Sep 17 00:00:00 2001 From: Sai Shanmukha Narumanchi Date: Tue, 23 Sep 2025 14:05:34 -0500 Subject: [PATCH 088/108] Add GH action to build MIDRC container images (#258) --- .../workflows/build_jupyter_midrc_image.yml | 22 +++++++++++++++++++ 1 file changed, 22 insertions(+) create mode 100644 .github/workflows/build_jupyter_midrc_image.yml diff --git a/.github/workflows/build_jupyter_midrc_image.yml b/.github/workflows/build_jupyter_midrc_image.yml new file mode 100644 index 00000000..8e9c1bbb --- /dev/null +++ b/.github/workflows/build_jupyter_midrc_image.yml @@ -0,0 +1,22 @@ +name: Build and Push Jupyter-MIDRC image + +on: + push: + paths: + - jupyter-midrc/** + - .github/workflows/build_jupyter_midrc_image.yml + +jobs: + jupyter-midrc: + name: Build and Push jupyter-midrc image + uses: uc-cdis/.github/.github/workflows/image_build_push.yaml@master + with: + DOCKERFILE_LOCATION: "./jupyter-midrc/Dockerfile" + DOCKERFILE_BUILD_CONTEXT: "./jupyter-midrc" + OVERRIDE_REPO_NAME: "jupyter-notebook" + OVERRIDE_TAG_NAME: "midrc-$(echo ${GITHUB_REF#refs/*/} | tr / _)" + secrets: + ECR_AWS_ACCESS_KEY_ID: ${{ secrets.ECR_AWS_ACCESS_KEY_ID }} + ECR_AWS_SECRET_ACCESS_KEY: ${{ secrets.ECR_AWS_SECRET_ACCESS_KEY }} + QUAY_USERNAME: ${{ secrets.QUAY_USERNAME }} + QUAY_ROBOT_TOKEN: ${{ secrets.QUAY_ROBOT_TOKEN }} From 99172437c1be3cc46f39d2d2c5ae80089bdcaf68 Mon Sep 17 00:00:00 2001 From: smvgarcia <111767892+smvgarcia@users.noreply.github.com> Date: Tue, 23 Sep 2025 15:03:31 -0500 Subject: [PATCH 089/108] Update Tutorial brh-welcome.html - fix hrefs (add quotes) - change /pd size to 10 gi - fix typo in filename reference --- BRH-notebooks/combined_demos/brh-welcome.html | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/BRH-notebooks/combined_demos/brh-welcome.html b/BRH-notebooks/combined_demos/brh-welcome.html index a6a26126..12142405 100644 --- a/BRH-notebooks/combined_demos/brh-welcome.html +++ b/BRH-notebooks/combined_demos/brh-welcome.html @@ -32,7 +32,7 @@

Welcome to the BRH Tutorial Workspace

This is your personal workspace. No one else can access the data or files here.

You can learn more about using the BRH Workspace in the - BRH Documentation. + BRH Documentation.

The /pd folder (find it in the panel on the left) is your persistent drive:

@@ -41,37 +41,37 @@

Welcome to the BRH Tutorial Workspace

The files you save here will still be available when you come back after terminating your workspace session.
  • Any files you create or add outside of this folder will be lost if they are not moved to the /pd before your workspace session terminates.
    • -
  • The Tutorial image /pd has a storage capacity limit of 2Gi
    • +
  • The Tutorial image /pd has a storage capacity limit of 10Gi

    • The folder /brh.data-commons.org in the /data folder will host any data files you have downloaded to the workspace through the BRH Discovery Page. Move these files to the /pd directory if you want to access them again after you terminate your workspace session. + href="https://brh.data-commons.org/discovery">BRH Discovery Page. Move these files to the /pd directory if you want to access them again after you terminate your workspace session.

    Get started with Data Exploration

    -

    Open a new "Launcher" tab by clicking the + next to tutorial-welcome.html tab at the +

    Open a new "Launcher" tab by clicking the + next to brh-welcome.html tab at the top of this document.

    From the Launcher tab, you can open: a new, empty Jupyter notebook; open a new code console or terminal window; or, create several types of files (text, Markdown, Python). For notebooks or files - remember to move the file into the /pd drive if you want to access them in a later workspace session.

    -

    You can learn how to download data files through the BRH discovery page in our documentation. +

    You can learn how to download data files through the BRH discovery page in our documentation.

    Install software tools by using pip install (Python) or CRAN (R). If you have a requirements text, you can install them with pip install -r requirements.txt. You can view all pre-installed software packages by opening a terminal window and using the command pip list

    Find some examples of analyses that can be done in the BRH Workspace on the - BRH Example Analyses page. + BRH Example Analyses page.

    If the locally-stored files you wish to analyze are large in number and/or size, you may need to zip them before uploading to a workspace. Once in a workspace, files can be unzipped using the python library - zipfile. + zipfile.

    Using the Tutorial Notebooks

    The tutorial notebooks in the panel on the left provide examples of analyses that can be done in the BRH Workspace. (You can also see the tutorial analyses on the - BRH Example Analyses page.) + BRH Example Analyses page.)

    The tutorials are read-only; you can run the notebook cells to see the output, but you cannot update any cells in these notebooks. However, you can create copies of these tutorials that can be edited and customized. @@ -85,6 +85,6 @@

    Using the Tutorial Notebooks

    Funding a persistent paymodel

    To learn how to fund your workspace after your trial period ends, visit our documentation on - persistent paymodels. + .

    From 79fcc86875cf4ab5f1b172973970f945dfd0fb2b Mon Sep 17 00:00:00 2001 From: smvgarcia <111767892+smvgarcia@users.noreply.github.com> Date: Tue, 23 Sep 2025 15:07:03 -0500 Subject: [PATCH 090/108] Update Generic brh-welcome.html - fix href's (add quotes) - update the /pd size --- BRH-notebooks/generic_rkernel/brh-welcome.html | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/BRH-notebooks/generic_rkernel/brh-welcome.html b/BRH-notebooks/generic_rkernel/brh-welcome.html index 8fd87c9f..663e854b 100644 --- a/BRH-notebooks/generic_rkernel/brh-welcome.html +++ b/BRH-notebooks/generic_rkernel/brh-welcome.html @@ -32,7 +32,7 @@

    Welcome to the BRH Workspace

    This is your personal workspace. No one else can access the data or files here.

    You can learn more about using the BRH Workspace in the - BRH Documentation. + BRH Documentation.

    The /pd folder (find it in the panel on the left) is your persistent drive:

    @@ -41,10 +41,10 @@

    Welcome to the BRH Workspace

    The files you save here will still be available when you come back after terminating your workspace session.
  • Any files you create or add outside of this folder will be lost if they are not moved to the /pd before your workspace session terminates.
    • -
  • This image has a /pd with a storage capacity limit of 2Gi
    • +
  • This image has a /pd with a storage capacity limit of 10Gi

    • The folder /brh.data-commons.org in the /data folder will host any data files you have downloaded to the workspace through the BRH Discovery Page. Move these files to the /pd directory if you want to access them again after you terminate your workspace session. + href="https://brh.data-commons.org/discovery">BRH Discovery Page. Move these files to the /pd directory if you want to access them again after you terminate your workspace session.

    Get started with Data Exploration

    Open a new "Launcher" tab by clicking the + next to brh-welcome.html tab at the @@ -54,18 +54,18 @@

    Get started with Data Exploration

    create several types of files (text, Markdown, Python). For notebooks or files - remember to move the file into the /pd drive if you want to access them in a later workspace session.

    -

    Learn how to download data files through the BRH discovery page in our documentation. +

    Learn how to download data files through the BRH discovery page in our documentation.

    Install software tools by using pip install (Python) or CRAN (R). If you have a requirements text, you can install them with pip install -r requirements.txt. You can view all pre-installed software packages by opening a terminal window and using the command pip list

    Find some examples of analyses that can be done in the BRH Workspace on the - BRH Example Analyses page. + BRH Example Analyses page.

    If the locally-stored files you wish to analyze are large in number and/or size, you may need to zip them before uploading to a workspace. Once in a workspace, files can be unzipped using the python library - zipfile. + zipfile.

    Note:The Generic Jupyter Lab image is currently sized for small analyses and testing. The maximum storage in the /pd (including any notebooks or tools installed) is 2Gi. @@ -74,6 +74,6 @@

    Get started with Data Exploration

    Funding a persistent paymodel

    To learn how to fund your workspace after your trial period ends, visit our documentation on - persistent paymodels. + .

    From c8687bb5f1f16965b24121c83cc1513b5a7e29ed Mon Sep 17 00:00:00 2001 From: sara volk de garcia Date: Tue, 23 Sep 2025 16:32:23 -0500 Subject: [PATCH 091/108] Trigger Build From 0d9b8722b60d438581d491a4a017277c78cdc1ff Mon Sep 17 00:00:00 2001 From: sara volk de garcia Date: Tue, 23 Sep 2025 16:37:08 -0500 Subject: [PATCH 092/108] Trigger Build From dbeab221a8396557b17191685c8e96cd357404ee Mon Sep 17 00:00:00 2001 From: smvgarcia <111767892+smvgarcia@users.noreply.github.com> Date: Mon, 29 Sep 2025 14:49:02 -0500 Subject: [PATCH 093/108] Update BRH-notebooks generic requirements.txt trigger new build for generic image --- BRH-notebooks/generic_rkernel/requirements.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/BRH-notebooks/generic_rkernel/requirements.txt b/BRH-notebooks/generic_rkernel/requirements.txt index e0fecb6e..6995e103 100644 --- a/BRH-notebooks/generic_rkernel/requirements.txt +++ b/BRH-notebooks/generic_rkernel/requirements.txt @@ -1 +1,2 @@ scipy==1.9.2 +# Trigger new build From 4837934e1f3888e0742710b044a369456065de1a Mon Sep 17 00:00:00 2001 From: sara volk de garcia Date: Mon, 29 Sep 2025 15:03:44 -0500 Subject: [PATCH 094/108] Trigger Build From bd2b3dd62a5649dbf3eac9383506502b2762d5ac Mon Sep 17 00:00:00 2001 From: George Thomas Date: Wed, 29 Oct 2025 11:53:57 -0700 Subject: [PATCH 095/108] (HP-2318) Remove healdata-utils --- HEAL-notebooks/Dockerfile | 1 - 1 file changed, 1 deletion(-) diff --git a/HEAL-notebooks/Dockerfile b/HEAL-notebooks/Dockerfile index ca0d0187..6fd6b02e 100644 --- a/HEAL-notebooks/Dockerfile +++ b/HEAL-notebooks/Dockerfile @@ -5,7 +5,6 @@ ARG NOTEBOOK_DIR COPY $NOTEBOOK_DIR/ $HOME/ -RUN pip3 install healdata-utils RUN pip3 install gen3 RUN pip3 install heal-sdk RUN conda config --append channels conda-forge From 5a4cd1827ca2b92f03f1305e81cba1dc92d47c77 Mon Sep 17 00:00:00 2001 From: George Thomas Date: Wed, 29 Oct 2025 11:56:03 -0700 Subject: [PATCH 096/108] (HP-2318) Add welcome doc --- .../generic_rkernel/heal-welcome.md | 33 +++++++++++++++++++ 1 file changed, 33 insertions(+) create mode 100644 HEAL-notebooks/generic_rkernel/heal-welcome.md diff --git a/HEAL-notebooks/generic_rkernel/heal-welcome.md b/HEAL-notebooks/generic_rkernel/heal-welcome.md new file mode 100644 index 00000000..a4b95132 --- /dev/null +++ b/HEAL-notebooks/generic_rkernel/heal-welcome.md @@ -0,0 +1,33 @@ +# **Welcome to the HEAL Workspace** + +**This is your personal workspace. No one else can access the data or files here.** + +You can learn more about using the HEAL Workspace in the [HEAL Documentation](https://heal.github.io/platform-documentation/workspaces/). + +**The `/pd` folder (find it in the panel on the left) is your persistent drive:** + +* Use this folder to store files (notebooks, data files, etc) that you want to use again later. The files you save here will still be available when you come back after terminating your workspace session. +* **Any files you create or add outside of this folder will be lost if they are not moved to the `/pd` before your workspace session terminates**. +* This image has a `/pd` with a storage capacity limit of 10Gi + +The folder `/healdata.org` in the `/data` folder will host any data files you have downloaded to the workspace through the [HEAL Discovery Page](https://healdata.org/portal). Move these files to the `/pd` directory if you want to access them again after you terminate your workspace session. + +## **Get started with Data Exploration** + +Open a new "Launcher" tab by clicking the `+` next to `heal-welcome.html` tab at the top of this document. + +From the Launcher tab, you can open: a new, empty Jupyter notebook; open a new code console or terminal window; or, create several types of files (text, Markdown, Python). For notebooks or files \- remember to move the file into the `/pd` drive if you want to access them in a later workspace session. + +[Learn how to download data files through the HEAL discovery page](https://heal.github.io/platform-documentation/downloading_files/) in our documentation. + +Install software tools by using `pip install` (Python) or `CRAN` (R). If you have a requirements text, you can install them with `pip install -r requirements.txt`. You can view all pre-installed software packages by opening a terminal window and using the command “pip list”. + +Find some examples of analyses that can be done in the HEAL Workspace on the [HEAL Example Analyses page](https://healdata.org/portal/resource-browser). + +If the locally-stored files you wish to analyze are large in number and/or size, you may need to zip them before uploading to a workspace. Once in a workspace, files can be unzipped using the python library [zipfile](https://docs.python.org/3/library/zipfile.html). + +**Note:** The Generic Jupyter Lab image is currently sized for small analyses and testing. The maximum storage in the `/pd` for this image (including any notebooks or tools installed) is 10Gi. If you need a larger image for your analyses, please reach out to the HEAL Data Platform support team at [heal-support@gen3.org](mailto:heal-support@gen3.org) to discuss the possibility of a larger image. + +## **Funding a persistent paymodel** + +To learn how to fund your workspace after your trial period ends, visit our documentation on [persistent paymodels](https://heal.github.io/platform-documentation/workspaces/heal_workspace_registration/#guidelines-for-requesting-extended-access-to-heal-data-platform-workspaces-using-strides). From a941c62f9f451d1c0aed04b6e94b805ca2d98959 Mon Sep 17 00:00:00 2001 From: George Thomas Date: Wed, 29 Oct 2025 13:01:29 -0700 Subject: [PATCH 097/108] (HP-2318) Remove healdata-utils --- HEAL-notebooks/Dockerfile | 1 - 1 file changed, 1 deletion(-) diff --git a/HEAL-notebooks/Dockerfile b/HEAL-notebooks/Dockerfile index ca0d0187..6fd6b02e 100644 --- a/HEAL-notebooks/Dockerfile +++ b/HEAL-notebooks/Dockerfile @@ -5,7 +5,6 @@ ARG NOTEBOOK_DIR COPY $NOTEBOOK_DIR/ $HOME/ -RUN pip3 install healdata-utils RUN pip3 install gen3 RUN pip3 install heal-sdk RUN conda config --append channels conda-forge From 44de63305893a7b6a7eab5c8b47e2a77f85e4839 Mon Sep 17 00:00:00 2001 From: George Thomas Date: Wed, 29 Oct 2025 13:02:59 -0700 Subject: [PATCH 098/108] (HP-2318) Add welcome doc --- .../combined_tutorials/tutorial-welcome.md | 37 +++++++++++++++++++ 1 file changed, 37 insertions(+) create mode 100644 HEAL-notebooks/combined_tutorials/tutorial-welcome.md diff --git a/HEAL-notebooks/combined_tutorials/tutorial-welcome.md b/HEAL-notebooks/combined_tutorials/tutorial-welcome.md new file mode 100644 index 00000000..b0e5daa6 --- /dev/null +++ b/HEAL-notebooks/combined_tutorials/tutorial-welcome.md @@ -0,0 +1,37 @@ +# **Welcome to the HEAL Tutorial Workspace** + +**This is your personal workspace. No one else can access the data or files here.** + +You can learn more about using the HEAL Workspace in the [HEAL Documentation](https://heal.github.io/platform-documentation/workspaces/). + +**The `/pd` folder (find it in the panel on the left) is your persistent drive:** + +* Use this folder to store files (notebooks, data files, etc) that you want to use again later. The files you save here will still be available when you come back after terminating your workspace session. +* **Any files you create or add outside of this folder will be lost if they are not moved to the `/pd` before your workspace session terminates**. +* This image has a `/pd` with a storage capacity limit of 10Gi + +The folder `/healdata.org` in the `/data` folder will host any data files you have downloaded to the workspace through the [HEAL Discovery Page](https://healdata.org/portal). Move these files to the `/pd` directory if you want to access them again after you terminate your workspace session. + +## **Get started with Data Exploration** + +Open a new "Launcher" tab by clicking the `+` next to `tutorial-welcome.html` tab at the top of this document. + +From the Launcher tab, you can open: a new, empty Jupyter notebook; open a new code console or terminal window; or, create several types of files (text, Markdown, Python). For notebooks or files \- remember to move the file into the `/pd` drive if you want to access them in a later workspace session. + +[Learn how to download data files through the HEAL discovery page](https://heal.github.io/platform-documentation/downloading_files/) in our documentation. + +Install software tools by using `pip install` (Python) or `CRAN` (R). If you have a requirements text, you can install them with `pip install -r requirements.txt`. + +If the locally-stored files you wish to analyze are large in number and/or size, you may need to zip them before uploading to a workspace. Once in a workspace, files can be unzipped using the python library [zipfile](https://docs.python.org/3/library/zipfile.html). + +## **Using the Tutorial Notebooks** + +The tutorial notebooks in the panel on the left provide examples of analyses that can be done in the HEAL Workspace. (You can also see the tutorial analyses on the [HEAL Example Analyses page](https://healdata.org/portal/resource-browser).) + +The tutorials are read-only; you can run the notebook cells to see the output, but you cannot update any cells in these notebooks. However, you can create copies of these tutorials that can be edited and customized. Right-click on the notebook in the left panel, then select Duplicate. The copy will be editable, not read-only. If you want to save this notebook and your edits, move it to the `/pd`. + +**Note:** The Tutorial Jupyter Lab image is currently sized for small analyses and testing. The maximum storage in the `/pd` for this image (including any notebooks or tools installed) is 10Gi. If you need a larger image for your analyses, please reach out to the HEAL Data Platform support team at [heal-support@gen3.org](mailto:heal-support@gen3.org) to discuss the possibility of a larger image. + +## **Funding a persistent paymodel** + +To learn how to fund your workspace after your trial period ends, visit our documentation on [persistent paymodels](https://heal.github.io/platform-documentation/workspaces/heal_workspace_registration/#guidelines-for-requesting-extended-access-to-heal-data-platform-workspaces-using-strides). From 8b8f5064bc9a4f661a38c3bd4e4ff7da78891e6c Mon Sep 17 00:00:00 2001 From: Phil Schumm Date: Tue, 4 Nov 2025 12:58:03 -0600 Subject: [PATCH 099/108] First POC of generic JupyterLab workspace with software repository --- .gitmodules | 3 + jupyterlab-generic/Dockerfile | 57 +++++ jupyterlab-generic/build.sh | 4 + jupyterlab-generic/jupyterlab-start.sh | 30 +++ jupyterlab-generic/run.sh | 12 + software-repository/Dockerfile | 12 + software-repository/README.md | 93 +++++++ software-repository/build.sh | 4 + .../resources/lmod/.modulerc.lua | 7 + .../resources/spack/config.yaml | 241 ++++++++++++++++++ .../resources/spack/modules.yaml | 63 +++++ software-repository/run.sh | 9 + software-repository/spack | 1 + 13 files changed, 536 insertions(+) create mode 100644 .gitmodules create mode 100644 jupyterlab-generic/Dockerfile create mode 100755 jupyterlab-generic/build.sh create mode 100644 jupyterlab-generic/jupyterlab-start.sh create mode 100755 jupyterlab-generic/run.sh create mode 100644 software-repository/Dockerfile create mode 100644 software-repository/README.md create mode 100755 software-repository/build.sh create mode 100644 software-repository/resources/lmod/.modulerc.lua create mode 100644 software-repository/resources/spack/config.yaml create mode 100644 software-repository/resources/spack/modules.yaml create mode 100755 software-repository/run.sh create mode 160000 software-repository/spack diff --git a/.gitmodules b/.gitmodules new file mode 100644 index 00000000..2bb95fcf --- /dev/null +++ b/.gitmodules @@ -0,0 +1,3 @@ +[submodule "software/spack"] + path = software-repository/spack + url = https://github.com/spack/spack.git diff --git a/jupyterlab-generic/Dockerfile b/jupyterlab-generic/Dockerfile new file mode 100644 index 00000000..e52b05b2 --- /dev/null +++ b/jupyterlab-generic/Dockerfile @@ -0,0 +1,57 @@ +# Generic Gen3 JupyterLab workspace + +FROM public.ecr.aws/amazonlinux/amazonlinux:2023-minimal AS builder-image + +# TODO: git, nodejs, and build are all required only to build jupyterlmod; +# these can be dropped once jupyterlmod fix is available in PyPI. +RUN dnf upgrade --refresh && \ + dnf install -y python3.13 python3.13-pip git nodejs && \ + python3.13 -m venv /usr/local/python-venv && \ + source /usr/local/python-venv/bin/activate && \ + pip install --upgrade pip && \ + pip install jupyterlab && \ + pip install build && \ + pip install jupyterlmod git+https://github.com/pschumm/jupyter-lmod@pschumm/fix_hidden && \ + pip install jupyterlab-git &&\ + pip install jupyterlab-search-replace + + +FROM public.ecr.aws/amazonlinux/amazonlinux:2023-minimal AS runner-image +LABEL maintainer="Center for Translational Data Science (CTDS)" +LABEL name="jupyterlab-generic" + +RUN dnf upgrade --refresh && \ + dnf install -y shadow-utils which python3.13 && \ + python3.13 -m venv /usr/local/python-venv + +COPY --from=builder-image /usr/local/python-venv /usr/local/python-venv +RUN /usr/local/python-venv/bin/jupyter kernelspec remove -y python3 + +COPY jupyterlab-start.sh . +RUN chmod +x jupyterlab-start.sh + +EXPOSE 8888 + +# Create home directory manually to avoid copying skeleton files +RUN groupadd -g 1010 jovyan && \ + useradd -u 1010 -g jovyan -M jovyan && \ + mkdir /home/jovyan && \ + chown jovyan:jovyan /home/jovyan && \ + chmod 700 /home/jovyan && \ + usermod -d /home/jovyan jovyan && \ + usermod --shell /bin/bash jovyan +USER jovyan +WORKDIR /home/jovyan + +# Add path to kernels +ENV JUPYTER_PATH=/apps/share/jupyter + +# Enable lmod +ENV LMOD_CMD=/apps/lmod/lmod/libexec/lmod +ENV MODULEPATH=/apps/lmod/lmod/modulefiles +ENV LMOD_MODULERC=/apps/lmod/lmod/.modulerc.lua + +# Make sure bash is the default shell within JupyterLab terminal +ENV SHELL=/bin/bash + +CMD ["/jupyterlab-start.sh"] diff --git a/jupyterlab-generic/build.sh b/jupyterlab-generic/build.sh new file mode 100755 index 00000000..ab93b831 --- /dev/null +++ b/jupyterlab-generic/build.sh @@ -0,0 +1,4 @@ +#!/usr/bin/env bash +docker build \ + -t jupyterlab-generic \ + . diff --git a/jupyterlab-generic/jupyterlab-start.sh b/jupyterlab-generic/jupyterlab-start.sh new file mode 100644 index 00000000..1a6b9d23 --- /dev/null +++ b/jupyterlab-generic/jupyterlab-start.sh @@ -0,0 +1,30 @@ +#!/usr/bin/env bash + +# Symlink config files for persistence +test -f ./pd/.bash_profile || touch ./pd/.bash_profile +test -f ./pd/.bashrc || touch ./pd/.bashrc +test -d ./pd/.jupyter || mkdir ./pd/.jupyter +test -d ./pd/.ipython || mkdir ./pd/.ipython +test -d ./pd/.config || mkdir ./pd/.config +test -d ./pd/.local || mkdir ./pd/.local +ln -s ./pd/.bash_profile . +ln -s ./pd/.bashrc . +ln -s ./pd/.jupyter . +ln -s ./pd/.ipython . +ln -s ./pd/.config . +ln -s ./pd/.local . + +# Symlink data directory mounted at root +ln -s /data . + +# Load JupyterLab extension dependencies +source /apps/lmod/lmod/init/profile +module load git ripgrep +# Load default modules +module load py-pandas py-scipy + +/usr/local/python-venv/bin/jupyter lab \ + --ip=0.0.0.0 \ + --KernelSpecManager.ensure_native_kernel=False \ + --ServerApp.quit_button=False \ + --IdentityProvider.token="" diff --git a/jupyterlab-generic/run.sh b/jupyterlab-generic/run.sh new file mode 100755 index 00000000..77d3333a --- /dev/null +++ b/jupyterlab-generic/run.sh @@ -0,0 +1,12 @@ +#!/usr/bin/env bash +export APPS_PATH=~/.gen3/workspaces/apps +export PD_PATH=~/.gen3/workspaces/pd +export DATA_PATH=~/.gen3/workspaces/data +docker run -d \ + -it \ + --name jupyterlab-generic \ + -p 8888:8888 \ + --mount type=bind,source=${APPS_PATH},target=/apps,readonly \ + --mount type=bind,source=${PD_PATH},target=/home/jovyan/pd \ + --mount type=bind,source=${DATA_PATH},target=/data \ + jupyterlab-generic diff --git a/software-repository/Dockerfile b/software-repository/Dockerfile new file mode 100644 index 00000000..ffdc4e3e --- /dev/null +++ b/software-repository/Dockerfile @@ -0,0 +1,12 @@ +# For administering software used in Gen3 workspaces + +FROM public.ecr.aws/amazonlinux/amazonlinux:2023 +# See Spack prereqs here: https://spack.readthedocs.io/en/latest/installing_prerequisites.html +RUN dnf upgrade --refresh && \ + dnf install -y file bzip2 ca-certificates git gzip patch python3 tar unzip xz zstd gcc gcc-c++ gcc-gfortran procps + +COPY resources/spack/config.yaml /etc/spack/. +COPY resources/spack/modules.yaml /etc/spack/. +COPY resources/lmod/.modulerc.lua /root/lmod/. + +ENTRYPOINT ["/bin/bash"] diff --git a/software-repository/README.md b/software-repository/README.md new file mode 100644 index 00000000..5b68c578 --- /dev/null +++ b/software-repository/README.md @@ -0,0 +1,93 @@ +# Introduction + +This folder contains tools for managing the software repository containing +analytic software for use from within Gen3 workspaces. + +# Usage + +After building and running the image, use + + docker exec -it gen3-workspace-admin bash --init-file /spack/share/spack/setup-env.sh + +to get a shell from which you can use Spack to manage the software repository. + +## Installing lmod + +The latest version of `lmod` can be installed with + + spack install lmod@8.7.55 + +To make it easier to use: + + mkdir -p /apps/lmod/lmod/init + cd /apps/lmod/lmod/init + ln -s ../../../spack/linux-aarch64/lmod-8.7.55-fsamnguoh33bp5pt3vqn2h42v2mo5m4b/lmod/lmod/init/profile . + mkdir -p /apps/lmod/lmod/libexec + cd /apps/lmod/lmod/libexec + ln -s ../../../spack/linux-aarch64/lmod-8.7.55-fsamnguoh33bp5pt3vqn2h42v2mo5m4b/lmod/lmod/libexec/lmod . + +To control defaults, aliases, and hidden modules, we use a `.modulerc.lua` file +that needs to be copied into an appropriate location, e.g.: + + cp -p ~/lmod/.modulerc.lua /apps/lmod/lmod/. + +To use `lmod`: + + source /apps/lmod/lmod/init/profile + module use --append /apps/lmod/lmod/modulefiles + +To regenerate module files (e.g., after installing new software): + + spack module tcl refresh --delete-tree + +> [!NOTE] +> For some reason, I was not able to get projections working properly with +> `lmod/lua` modules, so for now I'm using `tcl` modules instead. This is +> presumably a fixable problem, and at some point we should probably switch over +> to `lmod/lua` modules for the best `lmod` experience. + +## JupyterLab + +### Dependencies for JupyterLab extensions + +These are required for JupyterLab extensions. To keep things simple, we'll mark +them as implicit for now. + + spack install git + spack mark --implicit git + spack install ripgrep + spack mark --implicit ripgrep + +### IPython kernel + +Install Python and mark as implicit (to avoid extra complexity): + + spack install python@3.14.0 + spack mark --implicit python@3.14.0 + +Create and activate virtual environment: + + spack load python@3.14.0 + python -m venv /apps/venv/python-3.14.0 + source /apps/venv/python-3.14.0/bin/activate + +Install `ipykernel`: + + pip install --upgrade pip + pip install ipykernel==6.31.0 + python -m ipykernel install --prefix=/apps --name "Python-3.14.0" --display-name "Python 3.14 (ipykernel)" + +> [!NOTE] +> We might also consider using Spack environments here instead, though at the +> moment it seems like an additional complication without obvious added benefit. + +## Python packages + +Most of the data management and analytic capability when using an IPython kernel +is provided by Python packages. Below is a running list of those we provide in +our workspaces: + + spack install py-numpy@2.3.4 ^python@3.14.0 + spack install py-pandas@2.3.3 ^python@3.14.0 + spack install py-scipy@1.16.2 ^python@3.14.0 + spack install py-altair@5.5.0 ^python@3.14.0 diff --git a/software-repository/build.sh b/software-repository/build.sh new file mode 100755 index 00000000..e4a65ee4 --- /dev/null +++ b/software-repository/build.sh @@ -0,0 +1,4 @@ +#!/usr/bin/env bash +docker build \ + -t gen3-workspace-admin \ + . diff --git a/software-repository/resources/lmod/.modulerc.lua b/software-repository/resources/lmod/.modulerc.lua new file mode 100644 index 00000000..5b4d3608 --- /dev/null +++ b/software-repository/resources/lmod/.modulerc.lua @@ -0,0 +1,7 @@ +hide{ + name="settarg" +} + +hide{ + name="lmod" +} diff --git a/software-repository/resources/spack/config.yaml b/software-repository/resources/spack/config.yaml new file mode 100644 index 00000000..6fb6a2ee --- /dev/null +++ b/software-repository/resources/spack/config.yaml @@ -0,0 +1,241 @@ +# ------------------------------------------------------------------------- +# This is the default spack configuration file. +# +# Settings here are versioned with Spack and are intended to provide +# sensible defaults out of the box. Spack maintainers should edit this +# file to keep it current. +# +# Users can override these settings by editing the following files. +# +# Per-spack-instance settings (overrides defaults): +# $SPACK_ROOT/etc/spack/config.yaml +# +# Per-user settings (overrides default and site settings): +# ~/.spack/config.yaml +# ------------------------------------------------------------------------- +config: + # This is the path to the root of the Spack install tree. + # You can use $spack here to refer to the root of the spack instance. + install_tree: + root: /apps/spack + projections: + all: "{architecture.platform}-{architecture.target}/{name}-{version}-{hash}" + # install_tree can include an optional padded length (int or boolean) + # default is False (do not pad) + # if padded_length is True, Spack will pad as close to the system max path + # length as possible + # if padded_length is an integer, Spack will pad to that many characters, + # assuming it is higher than the length of the install_tree root. + # padded_length: 128 + + + # Locations where templates should be found + template_dirs: + - $spack/share/spack/templates + + # Directory where licenses should be located + license_dir: $spack/etc/spack/licenses + + # Temporary locations Spack can try to use for builds. + # + # Recommended options are given below. + # + # Builds can be faster in temporary directories on some (e.g., HPC) systems. + # Specifying `$tempdir` will ensure use of the default temporary directory + # (i.e., ``$TMP` or ``$TMPDIR``). + # + # Another option that prevents conflicts and potential permission issues is + # to specify `$user_cache_path/stage`, which ensures each user builds in their + # home directory. + # + # A more traditional path uses the value of `$spack/var/spack/stage`, which + # builds directly inside Spack's instance without staging them in a + # temporary space. Problems with specifying a path inside a Spack instance + # are that it precludes its use as a system package and its ability to be + # pip installable. + # + # In Spack environment files, chaining onto existing system Spack + # installations, the $env variable can be used to download, cache and build + # into user-writable paths that are relative to the currently active + # environment. + # + # In any case, if the username is not already in the path, Spack will append + # the value of `$user` in an attempt to avoid potential conflicts between + # users in shared temporary spaces. + # + # The build stage can be purged with `spack clean --stage` and + # `spack clean -a`, so it is important that the specified directory uniquely + # identifies Spack staging to avoid accidentally wiping out non-Spack work. + build_stage: + - $tempdir/$user/spack-stage + - $user_cache_path/stage + # - $spack/var/spack/stage + + # Directory in which to run tests and store test results. + # Tests will be stored in directories named by date/time and package + # name/hash. + test_stage: $user_cache_path/test + + # Cache directory for already downloaded source tarballs and archived + # repositories. This can be purged with `spack clean --downloads`. + source_cache: $spack/var/spack/cache + + + ## Directory where spack managed environments are created and stored + # environments_root: $spack/var/spack/environments + + + # Cache directory for miscellaneous files, like the package index. + # This can be purged with `spack clean --misc-cache` + misc_cache: $user_cache_path/cache + + + # Abort downloads after this many seconds if not data is received. + # Setting this to 0 will disable the timeout. + connect_timeout: 30 + + + # If this is false, tools like curl that use SSL will not verify + # certificates. (e.g., curl will use use the -k option) + verify_ssl: true + + + # This is where custom certs for proxy/firewall are stored. + # It can be a path or environment variable. To match ssl env configuration + # the default is the environment variable SSL_CERT_FILE + ssl_certs: $SSL_CERT_FILE + + + # Suppress gpg warnings from binary package verification + # Only suppresses warnings, gpg failure will still fail the install + # Potential rationale to set True: users have already explicitly trusted the + # gpg key they are using, and may not want to see repeated warnings that it + # is self-signed or something of the sort. + suppress_gpg_warnings: false + + + # If set to true, Spack will always check checksums after downloading + # archives. If false, Spack skips the checksum step. + checksum: true + + + # If set to true, Spack will fetch deprecated versions without warning. + # If false, Spack will raise an error when trying to install a deprecated version. + deprecated: false + + + # If set to true, `spack install` and friends will NOT clean + # potentially harmful variables from the build environment. Use wisely. + dirty: false + + + # The language the build environment will use. This will produce English + # compiler messages by default, so the log parser can highlight errors. + # If set to C, it will use English (see man locale). + # If set to the empty string (''), it will use the language from the + # user's environment. + build_language: C + + + # When set to true, concurrent instances of Spack will use locks to + # avoid modifying the install tree, database file, etc. If false, Spack + # will disable all locking, but you must NOT run concurrent instances + # of Spack. For filesystems that don't support locking, you should set + # this to false and run one Spack at a time, but otherwise we recommend + # enabling locks. + locks: true + + # The default url fetch method to use. + # If set to 'curl', Spack will require curl on the user's system + # If set to 'urllib', Spack will use python built-in libs to fetch + url_fetch_method: urllib + + # The maximum number of jobs to use for the build system (e.g. `make`), when + # the -j flag is not given on the command line. Defaults to 16 when not set. + # Note that the maximum number of jobs is limited by the number of cores + # available, taking thread affinity into account when supported. + # For instance: + # - With `build_jobs: 16` and 4 cores available `spack install` will run `make -j4` + # - With `build_jobs: 16` and 32 cores available `spack install` will run `make -j16` + # - With `build_jobs: 2` and 4 cores available `spack install -j6` will run `make -j6` + build_jobs: 16 + + # The maximum number of concurrent package builds a single Spack instance will run, + # when the `-p` / `--concurrent-packages` flag is not given on the command line. + # Defaults to 1 when not set. + # Generally, big builds like LLVM are going to perform better with a higher -j, and + # builds with lots of dependencies may build better with higher -p. It is currently + # up to the user to balance between -j (build_jobs) and -p (concurrent_packages) + # on `spack install`, but this will be less of an issue in the future when we + # introduce support for the gmake job server and allow more dynamic parallelism. + # This, like `build_jobs`, is also limited by available cores. + # Note: This option has no effect on windows, as parallel builds are disabled on + # windows due to a lack of filesystem locks. + concurrent_packages: 1 + + + # If set to true, Spack will use ccache to cache C compiles. + ccache: false + + # How long to wait to lock the Spack installation database. This lock is used + # when Spack needs to manage its own package metadata and all operations are + # expected to complete within the default time limit. The timeout should + # therefore generally be left untouched. + db_lock_timeout: 60 + + + # How long to wait when attempting to modify a package (e.g. to install it). + # This value should typically be 'null' (never time out) unless the Spack + # instance only ever has a single user at a time, and only if the user + # anticipates that a significant delay indicates that the lock attempt will + # never succeed. + package_lock_timeout: null + + + # Control how shared libraries are located at runtime on Linux. See the + # the Spack documentation for details. + shared_linking: + # Spack automatically embeds runtime search paths in ELF binaries for their + # dependencies. Their type can either be "rpath" or "runpath". For glibc, rpath is + # inherited and has precedence over LD_LIBRARY_PATH; runpath is not inherited + # and of lower precedence. DO NOT MIX these within the same install tree. + type: rpath + + + # (Experimental) Embed absolute paths of dependent libraries directly in ELF + # binaries to avoid runtime search. This can improve startup time of + # executables with many dependencies, in particular on slow filesystems. + bind: false + + # Controls the handling of missing dynamic libraries after installation. + # Options are ignore (default), warn, or error. If set to error, the + # installation fails if installed binaries reference dynamic libraries that + # are not found in their specified rpaths. + missing_library_policy: ignore + + + # Set to 'false' to allow installation on filesystems that doesn't allow setgid bit + # manipulation by unprivileged user (e.g. AFS) + allow_sgid: true + + # Whether to show status information during building and installing packages. + # This gives information about Spack's current progress as well as the current + # and total number of packages. Information is shown both in the terminal + # title and inline. + install_status: true + + # Number of seconds a buildcache's index.json is cached locally before probing + # for updates, within a single Spack invocation. Defaults to 10 minutes. + binary_index_ttl: 600 + + flags: + # Whether to keep -Werror flags active in package builds. + keep_werror: 'none' + + # A mapping of aliases that can be used to define new commands. For instance, + # `sp: spec -I` will define a new command `sp` that will execute `spec` with + # the `-I` argument. Aliases cannot override existing commands. + aliases: + concretise: concretize + containerise: containerize + rm: remove diff --git a/software-repository/resources/spack/modules.yaml b/software-repository/resources/spack/modules.yaml new file mode 100644 index 00000000..0ce1eb4d --- /dev/null +++ b/software-repository/resources/spack/modules.yaml @@ -0,0 +1,63 @@ +# ------------------------------------------------------------------------- +# This is the default configuration for Spack's module file generation. +# +# Settings here are versioned with Spack and are intended to provide +# sensible defaults out of the box. Spack maintainers should edit this +# file to keep it current. +# +# Users can override these settings by editing the following files. +# +# Per-spack-instance settings (overrides defaults): +# $SPACK_ROOT/etc/spack/modules.yaml +# +# Per-user settings (overrides default and site settings): +# ~/.spack/modules.yaml +# ------------------------------------------------------------------------- +modules: + # This maps paths in the package install prefix to environment variables + # they should be added to. For example, /bin should be in PATH. + prefix_inspections: + ./bin: + - PATH + ./man: + - MANPATH + ./share/man: + - MANPATH + ./share/aclocal: + - ACLOCAL_PATH + ./lib/pkgconfig: + - PKG_CONFIG_PATH + ./lib64/pkgconfig: + - PKG_CONFIG_PATH + ./share/pkgconfig: + - PKG_CONFIG_PATH + ./: + - CMAKE_PREFIX_PATH + + # These are configurations for the module set named "default" + default: + # Where to install modules + roots: + tcl: /apps/lmod/lmod/modulefiles + lmod: $spack/share/spack/lmod + # What type of modules to use ("tcl" and/or "lmod") + enable: [] + arch_folder: false + + tcl: + all: + autoload: direct + hide_implicits: true + hash_length: 0 + # Note: For some reason, I couldn't get this change to work with lmod/lua + # module files :( + projections: + ^python: '{name}/{version}-python{^python.version}' + exclude: ["lmod"] + + # Default configurations if lmod is enabled + lmod: + all: + autoload: direct + hierarchy: + - mpi diff --git a/software-repository/run.sh b/software-repository/run.sh new file mode 100755 index 00000000..3f4b1387 --- /dev/null +++ b/software-repository/run.sh @@ -0,0 +1,9 @@ +#!/usr/bin/env bash +export APPS_PATH=~/.gen3/workspaces/apps +export REPO_PATH=~/git/github/uc-cdis/containers +docker run -d \ + -it \ + --name gen3-workspace-admin \ + --mount type=bind,source=${APPS_PATH},target=/apps \ + --mount type=bind,source=${REPO_PATH}/software-repository/spack,target=/spack \ + gen3-workspace-admin diff --git a/software-repository/spack b/software-repository/spack new file mode 160000 index 00000000..52954c28 --- /dev/null +++ b/software-repository/spack @@ -0,0 +1 @@ +Subproject commit 52954c2861e64cfaa1a5d486aa134e1f9c28088b From 3c03ce11a33bac3b3eab7b830bcaaad0be2f023b Mon Sep 17 00:00:00 2001 From: George Thomas Date: Tue, 18 Nov 2025 15:04:31 -0800 Subject: [PATCH 100/108] (HP-2406) Add build-and-push for jupyterlab-generic --- .../build_push_jupyterlab_generic.yml | 51 +++++++++++++++++++ 1 file changed, 51 insertions(+) create mode 100644 .github/workflows/build_push_jupyterlab_generic.yml diff --git a/.github/workflows/build_push_jupyterlab_generic.yml b/.github/workflows/build_push_jupyterlab_generic.yml new file mode 100644 index 00000000..27f90191 --- /dev/null +++ b/.github/workflows/build_push_jupyterlab_generic.yml @@ -0,0 +1,51 @@ +name: Push Jupyterlab Generic Image to quay + +on: + push: + paths: + - jupyterlab-generic/** + - .github/workflows/build_push_jupyterlab-generic.yml + workflow_dispatch: + +jobs: + build: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + # - uses: prewk/s3-cp-action@v2 + # with: + # aws_access_key_id: ${{ secrets.AWS_ACCESS_KEY_ID }} + # aws_secret_access_key: ${{ secrets.AWS_SECRET_ACCESS_KEY }} + # source: 's3://ctds-stata/StataNow18Linux64.tar.gz' + # dest: './jupyter-pystata-user-licensed/resources/' + + - name: Extract branch name + id: extract_branch + run: | + echo "IMAGE_TAG=$(echo ${GITHUB_REF#refs/*/} | tr / _)" + echo "IMAGE_TAG=$(echo ${GITHUB_REF#refs/*/} | tr / _)" >> $GITHUB_ENV + + - name: Login to Quay.io + id: login + uses: docker/login-action@v3 + with: + registry: quay.io + username: ${{ secrets.QUAY_USERNAME }} + password: ${{ secrets.QUAY_ROBOT_TOKEN }} + + - name: Extract metadata + id: meta + uses: docker/metadata-action@v5 + with: + images: | + quay.io/cdis/jupyterlab-generic:${{ env.IMAGE_TAG }} + + - name: Build and Push Image + uses: docker/build-push-action@v6 + with: + context: ./jupyterlab-generic + file: "./jupyterlab-generic/Dockerfile" + push: true + tags: | + quay.io/cdis/jupyterlab-generic:${{ env.IMAGE_TAG }} + labels: ${{ steps.meta.outputs.labels }} From 97edaf9bb8f5bce79773040dbff78c727a40b4c9 Mon Sep 17 00:00:00 2001 From: George Thomas Date: Tue, 18 Nov 2025 15:13:44 -0800 Subject: [PATCH 101/108] (HP-2406) fix typo --- .github/workflows/build_push_jupyterlab_generic.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/build_push_jupyterlab_generic.yml b/.github/workflows/build_push_jupyterlab_generic.yml index 27f90191..fcc9856b 100644 --- a/.github/workflows/build_push_jupyterlab_generic.yml +++ b/.github/workflows/build_push_jupyterlab_generic.yml @@ -4,7 +4,7 @@ on: push: paths: - jupyterlab-generic/** - - .github/workflows/build_push_jupyterlab-generic.yml + - .github/workflows/build_push_jupyterlab_generic.yml workflow_dispatch: jobs: From 829109ef9ecabb9201e00ef63c45bc49a776e64e Mon Sep 17 00:00:00 2001 From: Mingfei Shao Date: Mon, 24 Nov 2025 15:39:38 -0600 Subject: [PATCH 102/108] remove software-repository container for now --- .gitmodules | 3 - software-repository/Dockerfile | 12 - software-repository/README.md | 93 ------- software-repository/build.sh | 4 - .../resources/lmod/.modulerc.lua | 7 - .../resources/spack/config.yaml | 241 ------------------ .../resources/spack/modules.yaml | 63 ----- software-repository/run.sh | 9 - software-repository/spack | 1 - 9 files changed, 433 deletions(-) delete mode 100644 .gitmodules delete mode 100644 software-repository/Dockerfile delete mode 100644 software-repository/README.md delete mode 100755 software-repository/build.sh delete mode 100644 software-repository/resources/lmod/.modulerc.lua delete mode 100644 software-repository/resources/spack/config.yaml delete mode 100644 software-repository/resources/spack/modules.yaml delete mode 100755 software-repository/run.sh delete mode 160000 software-repository/spack diff --git a/.gitmodules b/.gitmodules deleted file mode 100644 index 2bb95fcf..00000000 --- a/.gitmodules +++ /dev/null @@ -1,3 +0,0 @@ -[submodule "software/spack"] - path = software-repository/spack - url = https://github.com/spack/spack.git diff --git a/software-repository/Dockerfile b/software-repository/Dockerfile deleted file mode 100644 index ffdc4e3e..00000000 --- a/software-repository/Dockerfile +++ /dev/null @@ -1,12 +0,0 @@ -# For administering software used in Gen3 workspaces - -FROM public.ecr.aws/amazonlinux/amazonlinux:2023 -# See Spack prereqs here: https://spack.readthedocs.io/en/latest/installing_prerequisites.html -RUN dnf upgrade --refresh && \ - dnf install -y file bzip2 ca-certificates git gzip patch python3 tar unzip xz zstd gcc gcc-c++ gcc-gfortran procps - -COPY resources/spack/config.yaml /etc/spack/. -COPY resources/spack/modules.yaml /etc/spack/. -COPY resources/lmod/.modulerc.lua /root/lmod/. - -ENTRYPOINT ["/bin/bash"] diff --git a/software-repository/README.md b/software-repository/README.md deleted file mode 100644 index 5b68c578..00000000 --- a/software-repository/README.md +++ /dev/null @@ -1,93 +0,0 @@ -# Introduction - -This folder contains tools for managing the software repository containing -analytic software for use from within Gen3 workspaces. - -# Usage - -After building and running the image, use - - docker exec -it gen3-workspace-admin bash --init-file /spack/share/spack/setup-env.sh - -to get a shell from which you can use Spack to manage the software repository. - -## Installing lmod - -The latest version of `lmod` can be installed with - - spack install lmod@8.7.55 - -To make it easier to use: - - mkdir -p /apps/lmod/lmod/init - cd /apps/lmod/lmod/init - ln -s ../../../spack/linux-aarch64/lmod-8.7.55-fsamnguoh33bp5pt3vqn2h42v2mo5m4b/lmod/lmod/init/profile . - mkdir -p /apps/lmod/lmod/libexec - cd /apps/lmod/lmod/libexec - ln -s ../../../spack/linux-aarch64/lmod-8.7.55-fsamnguoh33bp5pt3vqn2h42v2mo5m4b/lmod/lmod/libexec/lmod . - -To control defaults, aliases, and hidden modules, we use a `.modulerc.lua` file -that needs to be copied into an appropriate location, e.g.: - - cp -p ~/lmod/.modulerc.lua /apps/lmod/lmod/. - -To use `lmod`: - - source /apps/lmod/lmod/init/profile - module use --append /apps/lmod/lmod/modulefiles - -To regenerate module files (e.g., after installing new software): - - spack module tcl refresh --delete-tree - -> [!NOTE] -> For some reason, I was not able to get projections working properly with -> `lmod/lua` modules, so for now I'm using `tcl` modules instead. This is -> presumably a fixable problem, and at some point we should probably switch over -> to `lmod/lua` modules for the best `lmod` experience. - -## JupyterLab - -### Dependencies for JupyterLab extensions - -These are required for JupyterLab extensions. To keep things simple, we'll mark -them as implicit for now. - - spack install git - spack mark --implicit git - spack install ripgrep - spack mark --implicit ripgrep - -### IPython kernel - -Install Python and mark as implicit (to avoid extra complexity): - - spack install python@3.14.0 - spack mark --implicit python@3.14.0 - -Create and activate virtual environment: - - spack load python@3.14.0 - python -m venv /apps/venv/python-3.14.0 - source /apps/venv/python-3.14.0/bin/activate - -Install `ipykernel`: - - pip install --upgrade pip - pip install ipykernel==6.31.0 - python -m ipykernel install --prefix=/apps --name "Python-3.14.0" --display-name "Python 3.14 (ipykernel)" - -> [!NOTE] -> We might also consider using Spack environments here instead, though at the -> moment it seems like an additional complication without obvious added benefit. - -## Python packages - -Most of the data management and analytic capability when using an IPython kernel -is provided by Python packages. Below is a running list of those we provide in -our workspaces: - - spack install py-numpy@2.3.4 ^python@3.14.0 - spack install py-pandas@2.3.3 ^python@3.14.0 - spack install py-scipy@1.16.2 ^python@3.14.0 - spack install py-altair@5.5.0 ^python@3.14.0 diff --git a/software-repository/build.sh b/software-repository/build.sh deleted file mode 100755 index e4a65ee4..00000000 --- a/software-repository/build.sh +++ /dev/null @@ -1,4 +0,0 @@ -#!/usr/bin/env bash -docker build \ - -t gen3-workspace-admin \ - . diff --git a/software-repository/resources/lmod/.modulerc.lua b/software-repository/resources/lmod/.modulerc.lua deleted file mode 100644 index 5b4d3608..00000000 --- a/software-repository/resources/lmod/.modulerc.lua +++ /dev/null @@ -1,7 +0,0 @@ -hide{ - name="settarg" -} - -hide{ - name="lmod" -} diff --git a/software-repository/resources/spack/config.yaml b/software-repository/resources/spack/config.yaml deleted file mode 100644 index 6fb6a2ee..00000000 --- a/software-repository/resources/spack/config.yaml +++ /dev/null @@ -1,241 +0,0 @@ -# ------------------------------------------------------------------------- -# This is the default spack configuration file. -# -# Settings here are versioned with Spack and are intended to provide -# sensible defaults out of the box. Spack maintainers should edit this -# file to keep it current. -# -# Users can override these settings by editing the following files. -# -# Per-spack-instance settings (overrides defaults): -# $SPACK_ROOT/etc/spack/config.yaml -# -# Per-user settings (overrides default and site settings): -# ~/.spack/config.yaml -# ------------------------------------------------------------------------- -config: - # This is the path to the root of the Spack install tree. - # You can use $spack here to refer to the root of the spack instance. - install_tree: - root: /apps/spack - projections: - all: "{architecture.platform}-{architecture.target}/{name}-{version}-{hash}" - # install_tree can include an optional padded length (int or boolean) - # default is False (do not pad) - # if padded_length is True, Spack will pad as close to the system max path - # length as possible - # if padded_length is an integer, Spack will pad to that many characters, - # assuming it is higher than the length of the install_tree root. - # padded_length: 128 - - - # Locations where templates should be found - template_dirs: - - $spack/share/spack/templates - - # Directory where licenses should be located - license_dir: $spack/etc/spack/licenses - - # Temporary locations Spack can try to use for builds. - # - # Recommended options are given below. - # - # Builds can be faster in temporary directories on some (e.g., HPC) systems. - # Specifying `$tempdir` will ensure use of the default temporary directory - # (i.e., ``$TMP` or ``$TMPDIR``). - # - # Another option that prevents conflicts and potential permission issues is - # to specify `$user_cache_path/stage`, which ensures each user builds in their - # home directory. - # - # A more traditional path uses the value of `$spack/var/spack/stage`, which - # builds directly inside Spack's instance without staging them in a - # temporary space. Problems with specifying a path inside a Spack instance - # are that it precludes its use as a system package and its ability to be - # pip installable. - # - # In Spack environment files, chaining onto existing system Spack - # installations, the $env variable can be used to download, cache and build - # into user-writable paths that are relative to the currently active - # environment. - # - # In any case, if the username is not already in the path, Spack will append - # the value of `$user` in an attempt to avoid potential conflicts between - # users in shared temporary spaces. - # - # The build stage can be purged with `spack clean --stage` and - # `spack clean -a`, so it is important that the specified directory uniquely - # identifies Spack staging to avoid accidentally wiping out non-Spack work. - build_stage: - - $tempdir/$user/spack-stage - - $user_cache_path/stage - # - $spack/var/spack/stage - - # Directory in which to run tests and store test results. - # Tests will be stored in directories named by date/time and package - # name/hash. - test_stage: $user_cache_path/test - - # Cache directory for already downloaded source tarballs and archived - # repositories. This can be purged with `spack clean --downloads`. - source_cache: $spack/var/spack/cache - - - ## Directory where spack managed environments are created and stored - # environments_root: $spack/var/spack/environments - - - # Cache directory for miscellaneous files, like the package index. - # This can be purged with `spack clean --misc-cache` - misc_cache: $user_cache_path/cache - - - # Abort downloads after this many seconds if not data is received. - # Setting this to 0 will disable the timeout. - connect_timeout: 30 - - - # If this is false, tools like curl that use SSL will not verify - # certificates. (e.g., curl will use use the -k option) - verify_ssl: true - - - # This is where custom certs for proxy/firewall are stored. - # It can be a path or environment variable. To match ssl env configuration - # the default is the environment variable SSL_CERT_FILE - ssl_certs: $SSL_CERT_FILE - - - # Suppress gpg warnings from binary package verification - # Only suppresses warnings, gpg failure will still fail the install - # Potential rationale to set True: users have already explicitly trusted the - # gpg key they are using, and may not want to see repeated warnings that it - # is self-signed or something of the sort. - suppress_gpg_warnings: false - - - # If set to true, Spack will always check checksums after downloading - # archives. If false, Spack skips the checksum step. - checksum: true - - - # If set to true, Spack will fetch deprecated versions without warning. - # If false, Spack will raise an error when trying to install a deprecated version. - deprecated: false - - - # If set to true, `spack install` and friends will NOT clean - # potentially harmful variables from the build environment. Use wisely. - dirty: false - - - # The language the build environment will use. This will produce English - # compiler messages by default, so the log parser can highlight errors. - # If set to C, it will use English (see man locale). - # If set to the empty string (''), it will use the language from the - # user's environment. - build_language: C - - - # When set to true, concurrent instances of Spack will use locks to - # avoid modifying the install tree, database file, etc. If false, Spack - # will disable all locking, but you must NOT run concurrent instances - # of Spack. For filesystems that don't support locking, you should set - # this to false and run one Spack at a time, but otherwise we recommend - # enabling locks. - locks: true - - # The default url fetch method to use. - # If set to 'curl', Spack will require curl on the user's system - # If set to 'urllib', Spack will use python built-in libs to fetch - url_fetch_method: urllib - - # The maximum number of jobs to use for the build system (e.g. `make`), when - # the -j flag is not given on the command line. Defaults to 16 when not set. - # Note that the maximum number of jobs is limited by the number of cores - # available, taking thread affinity into account when supported. - # For instance: - # - With `build_jobs: 16` and 4 cores available `spack install` will run `make -j4` - # - With `build_jobs: 16` and 32 cores available `spack install` will run `make -j16` - # - With `build_jobs: 2` and 4 cores available `spack install -j6` will run `make -j6` - build_jobs: 16 - - # The maximum number of concurrent package builds a single Spack instance will run, - # when the `-p` / `--concurrent-packages` flag is not given on the command line. - # Defaults to 1 when not set. - # Generally, big builds like LLVM are going to perform better with a higher -j, and - # builds with lots of dependencies may build better with higher -p. It is currently - # up to the user to balance between -j (build_jobs) and -p (concurrent_packages) - # on `spack install`, but this will be less of an issue in the future when we - # introduce support for the gmake job server and allow more dynamic parallelism. - # This, like `build_jobs`, is also limited by available cores. - # Note: This option has no effect on windows, as parallel builds are disabled on - # windows due to a lack of filesystem locks. - concurrent_packages: 1 - - - # If set to true, Spack will use ccache to cache C compiles. - ccache: false - - # How long to wait to lock the Spack installation database. This lock is used - # when Spack needs to manage its own package metadata and all operations are - # expected to complete within the default time limit. The timeout should - # therefore generally be left untouched. - db_lock_timeout: 60 - - - # How long to wait when attempting to modify a package (e.g. to install it). - # This value should typically be 'null' (never time out) unless the Spack - # instance only ever has a single user at a time, and only if the user - # anticipates that a significant delay indicates that the lock attempt will - # never succeed. - package_lock_timeout: null - - - # Control how shared libraries are located at runtime on Linux. See the - # the Spack documentation for details. - shared_linking: - # Spack automatically embeds runtime search paths in ELF binaries for their - # dependencies. Their type can either be "rpath" or "runpath". For glibc, rpath is - # inherited and has precedence over LD_LIBRARY_PATH; runpath is not inherited - # and of lower precedence. DO NOT MIX these within the same install tree. - type: rpath - - - # (Experimental) Embed absolute paths of dependent libraries directly in ELF - # binaries to avoid runtime search. This can improve startup time of - # executables with many dependencies, in particular on slow filesystems. - bind: false - - # Controls the handling of missing dynamic libraries after installation. - # Options are ignore (default), warn, or error. If set to error, the - # installation fails if installed binaries reference dynamic libraries that - # are not found in their specified rpaths. - missing_library_policy: ignore - - - # Set to 'false' to allow installation on filesystems that doesn't allow setgid bit - # manipulation by unprivileged user (e.g. AFS) - allow_sgid: true - - # Whether to show status information during building and installing packages. - # This gives information about Spack's current progress as well as the current - # and total number of packages. Information is shown both in the terminal - # title and inline. - install_status: true - - # Number of seconds a buildcache's index.json is cached locally before probing - # for updates, within a single Spack invocation. Defaults to 10 minutes. - binary_index_ttl: 600 - - flags: - # Whether to keep -Werror flags active in package builds. - keep_werror: 'none' - - # A mapping of aliases that can be used to define new commands. For instance, - # `sp: spec -I` will define a new command `sp` that will execute `spec` with - # the `-I` argument. Aliases cannot override existing commands. - aliases: - concretise: concretize - containerise: containerize - rm: remove diff --git a/software-repository/resources/spack/modules.yaml b/software-repository/resources/spack/modules.yaml deleted file mode 100644 index 0ce1eb4d..00000000 --- a/software-repository/resources/spack/modules.yaml +++ /dev/null @@ -1,63 +0,0 @@ -# ------------------------------------------------------------------------- -# This is the default configuration for Spack's module file generation. -# -# Settings here are versioned with Spack and are intended to provide -# sensible defaults out of the box. Spack maintainers should edit this -# file to keep it current. -# -# Users can override these settings by editing the following files. -# -# Per-spack-instance settings (overrides defaults): -# $SPACK_ROOT/etc/spack/modules.yaml -# -# Per-user settings (overrides default and site settings): -# ~/.spack/modules.yaml -# ------------------------------------------------------------------------- -modules: - # This maps paths in the package install prefix to environment variables - # they should be added to. For example, /bin should be in PATH. - prefix_inspections: - ./bin: - - PATH - ./man: - - MANPATH - ./share/man: - - MANPATH - ./share/aclocal: - - ACLOCAL_PATH - ./lib/pkgconfig: - - PKG_CONFIG_PATH - ./lib64/pkgconfig: - - PKG_CONFIG_PATH - ./share/pkgconfig: - - PKG_CONFIG_PATH - ./: - - CMAKE_PREFIX_PATH - - # These are configurations for the module set named "default" - default: - # Where to install modules - roots: - tcl: /apps/lmod/lmod/modulefiles - lmod: $spack/share/spack/lmod - # What type of modules to use ("tcl" and/or "lmod") - enable: [] - arch_folder: false - - tcl: - all: - autoload: direct - hide_implicits: true - hash_length: 0 - # Note: For some reason, I couldn't get this change to work with lmod/lua - # module files :( - projections: - ^python: '{name}/{version}-python{^python.version}' - exclude: ["lmod"] - - # Default configurations if lmod is enabled - lmod: - all: - autoload: direct - hierarchy: - - mpi diff --git a/software-repository/run.sh b/software-repository/run.sh deleted file mode 100755 index 3f4b1387..00000000 --- a/software-repository/run.sh +++ /dev/null @@ -1,9 +0,0 @@ -#!/usr/bin/env bash -export APPS_PATH=~/.gen3/workspaces/apps -export REPO_PATH=~/git/github/uc-cdis/containers -docker run -d \ - -it \ - --name gen3-workspace-admin \ - --mount type=bind,source=${APPS_PATH},target=/apps \ - --mount type=bind,source=${REPO_PATH}/software-repository/spack,target=/spack \ - gen3-workspace-admin diff --git a/software-repository/spack b/software-repository/spack deleted file mode 160000 index 52954c28..00000000 --- a/software-repository/spack +++ /dev/null @@ -1 +0,0 @@ -Subproject commit 52954c2861e64cfaa1a5d486aa134e1f9c28088b From 2d210c8ad7c91ad266a60b07201960408248c0fa Mon Sep 17 00:00:00 2001 From: George Thomas Date: Mon, 1 Dec 2025 11:06:24 -0800 Subject: [PATCH 103/108] (HP-2408) Removed commented section --- .github/workflows/build_push_jupyterlab_generic.yml | 7 ------- 1 file changed, 7 deletions(-) diff --git a/.github/workflows/build_push_jupyterlab_generic.yml b/.github/workflows/build_push_jupyterlab_generic.yml index fcc9856b..7a8872d5 100644 --- a/.github/workflows/build_push_jupyterlab_generic.yml +++ b/.github/workflows/build_push_jupyterlab_generic.yml @@ -12,13 +12,6 @@ jobs: runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - # - uses: prewk/s3-cp-action@v2 - # with: - # aws_access_key_id: ${{ secrets.AWS_ACCESS_KEY_ID }} - # aws_secret_access_key: ${{ secrets.AWS_SECRET_ACCESS_KEY }} - # source: 's3://ctds-stata/StataNow18Linux64.tar.gz' - # dest: './jupyter-pystata-user-licensed/resources/' - - name: Extract branch name id: extract_branch run: | From 95a8137ff28bf88ad584f67221f8a58afe9ab3fd Mon Sep 17 00:00:00 2001 From: George Thomas Date: Tue, 2 Dec 2025 13:07:17 -0800 Subject: [PATCH 104/108] (HP-2406) Allow parameters in start script --- jupyterlab-generic/jupyterlab-start.sh | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/jupyterlab-generic/jupyterlab-start.sh b/jupyterlab-generic/jupyterlab-start.sh index 1a6b9d23..5addf8d4 100644 --- a/jupyterlab-generic/jupyterlab-start.sh +++ b/jupyterlab-generic/jupyterlab-start.sh @@ -24,7 +24,8 @@ module load git ripgrep module load py-pandas py-scipy /usr/local/python-venv/bin/jupyter lab \ - --ip=0.0.0.0 \ + --ServerApp.ip=0.0.0.0 \ --KernelSpecManager.ensure_native_kernel=False \ --ServerApp.quit_button=False \ - --IdentityProvider.token="" + --IdentityProvider.token="" \ + "$@" From 41253e2904599863e5d4c80146e7e56f45f9ef85 Mon Sep 17 00:00:00 2001 From: Mingfei Shao Date: Tue, 2 Dec 2025 22:56:04 -0600 Subject: [PATCH 105/108] update --- jupyterlab-generic/Dockerfile | 20 +++++------------ jupyterlab-generic/jupyterlab-start.sh | 30 +++++++++++++------------- 2 files changed, 20 insertions(+), 30 deletions(-) diff --git a/jupyterlab-generic/Dockerfile b/jupyterlab-generic/Dockerfile index e52b05b2..fdfe8278 100644 --- a/jupyterlab-generic/Dockerfile +++ b/jupyterlab-generic/Dockerfile @@ -1,30 +1,20 @@ # Generic Gen3 JupyterLab workspace -FROM public.ecr.aws/amazonlinux/amazonlinux:2023-minimal AS builder-image +FROM public.ecr.aws/amazonlinux/amazonlinux:2023-minimal +LABEL maintainer="Center for Translational Data Science (CTDS)" +LABEL name="jupyterlab-generic" -# TODO: git, nodejs, and build are all required only to build jupyterlmod; -# these can be dropped once jupyterlmod fix is available in PyPI. RUN dnf upgrade --refresh && \ - dnf install -y python3.13 python3.13-pip git nodejs && \ + dnf install -y python3.13 python3.13-pip git nodejs shadow-utils which && \ python3.13 -m venv /usr/local/python-venv && \ source /usr/local/python-venv/bin/activate && \ pip install --upgrade pip && \ pip install jupyterlab && \ pip install build && \ pip install jupyterlmod git+https://github.com/pschumm/jupyter-lmod@pschumm/fix_hidden && \ - pip install jupyterlab-git &&\ + pip install jupyterlab-git && \ pip install jupyterlab-search-replace - -FROM public.ecr.aws/amazonlinux/amazonlinux:2023-minimal AS runner-image -LABEL maintainer="Center for Translational Data Science (CTDS)" -LABEL name="jupyterlab-generic" - -RUN dnf upgrade --refresh && \ - dnf install -y shadow-utils which python3.13 && \ - python3.13 -m venv /usr/local/python-venv - -COPY --from=builder-image /usr/local/python-venv /usr/local/python-venv RUN /usr/local/python-venv/bin/jupyter kernelspec remove -y python3 COPY jupyterlab-start.sh . diff --git a/jupyterlab-generic/jupyterlab-start.sh b/jupyterlab-generic/jupyterlab-start.sh index 5addf8d4..82d34c58 100644 --- a/jupyterlab-generic/jupyterlab-start.sh +++ b/jupyterlab-generic/jupyterlab-start.sh @@ -1,21 +1,21 @@ #!/usr/bin/env bash -# Symlink config files for persistence -test -f ./pd/.bash_profile || touch ./pd/.bash_profile -test -f ./pd/.bashrc || touch ./pd/.bashrc -test -d ./pd/.jupyter || mkdir ./pd/.jupyter -test -d ./pd/.ipython || mkdir ./pd/.ipython -test -d ./pd/.config || mkdir ./pd/.config -test -d ./pd/.local || mkdir ./pd/.local -ln -s ./pd/.bash_profile . -ln -s ./pd/.bashrc . -ln -s ./pd/.jupyter . -ln -s ./pd/.ipython . -ln -s ./pd/.config . -ln -s ./pd/.local . +# # Symlink config files for persistence +# test -f ./pd/.bash_profile || touch ./pd/.bash_profile +# test -f ./pd/.bashrc || touch ./pd/.bashrc +# test -d ./pd/.jupyter || mkdir ./pd/.jupyter +# test -d ./pd/.ipython || mkdir ./pd/.ipython +# test -d ./pd/.config || mkdir ./pd/.config +# test -d ./pd/.local || mkdir ./pd/.local +# ln -s ./pd/.bash_profile . +# ln -s ./pd/.bashrc . +# ln -s ./pd/.jupyter . +# ln -s ./pd/.ipython . +# ln -s ./pd/.config . +# ln -s ./pd/.local . -# Symlink data directory mounted at root -ln -s /data . +# # Symlink data directory mounted at root +# ln -s /data . # Load JupyterLab extension dependencies source /apps/lmod/lmod/init/profile From 9ea2e10ed4ad5ec2415b128cc479c471df260c4a Mon Sep 17 00:00:00 2001 From: Mingfei Shao Date: Wed, 3 Dec 2025 09:09:04 -0600 Subject: [PATCH 106/108] update comments --- jupyterlab-generic/Dockerfile | 2 ++ 1 file changed, 2 insertions(+) diff --git a/jupyterlab-generic/Dockerfile b/jupyterlab-generic/Dockerfile index fdfe8278..92b1ac32 100644 --- a/jupyterlab-generic/Dockerfile +++ b/jupyterlab-generic/Dockerfile @@ -4,6 +4,8 @@ FROM public.ecr.aws/amazonlinux/amazonlinux:2023-minimal LABEL maintainer="Center for Translational Data Science (CTDS)" LABEL name="jupyterlab-generic" +# TODO: git, nodejs, and build are all required only to build jupyterlmod; +# these can be dropped once jupyterlmod fix is available in PyPI. RUN dnf upgrade --refresh && \ dnf install -y python3.13 python3.13-pip git nodejs shadow-utils which && \ python3.13 -m venv /usr/local/python-venv && \ From 37f33ff75f45f663512ea72ca4933f58858308b2 Mon Sep 17 00:00:00 2001 From: George Thomas Date: Wed, 10 Dec 2025 10:27:42 -0800 Subject: [PATCH 107/108] (HP-2406) Remove commented /data symlinks --- jupyterlab-generic/jupyterlab-start.sh | 3 --- 1 file changed, 3 deletions(-) diff --git a/jupyterlab-generic/jupyterlab-start.sh b/jupyterlab-generic/jupyterlab-start.sh index 82d34c58..889b0329 100644 --- a/jupyterlab-generic/jupyterlab-start.sh +++ b/jupyterlab-generic/jupyterlab-start.sh @@ -14,9 +14,6 @@ # ln -s ./pd/.config . # ln -s ./pd/.local . -# # Symlink data directory mounted at root -# ln -s /data . - # Load JupyterLab extension dependencies source /apps/lmod/lmod/init/profile module load git ripgrep From 16857c58f1512a956e6373b3082b11a9c0bd9170 Mon Sep 17 00:00:00 2001 From: Mingfei Shao <2475897+mfshao@users.noreply.github.com> Date: Mon, 15 Dec 2025 13:07:57 -0600 Subject: [PATCH 108/108] Update jupyterlab-start.sh --- jupyterlab-generic/jupyterlab-start.sh | 24 ++++++++++++------------ 1 file changed, 12 insertions(+), 12 deletions(-) diff --git a/jupyterlab-generic/jupyterlab-start.sh b/jupyterlab-generic/jupyterlab-start.sh index 889b0329..ace6874d 100644 --- a/jupyterlab-generic/jupyterlab-start.sh +++ b/jupyterlab-generic/jupyterlab-start.sh @@ -1,18 +1,18 @@ #!/usr/bin/env bash # # Symlink config files for persistence -# test -f ./pd/.bash_profile || touch ./pd/.bash_profile -# test -f ./pd/.bashrc || touch ./pd/.bashrc -# test -d ./pd/.jupyter || mkdir ./pd/.jupyter -# test -d ./pd/.ipython || mkdir ./pd/.ipython -# test -d ./pd/.config || mkdir ./pd/.config -# test -d ./pd/.local || mkdir ./pd/.local -# ln -s ./pd/.bash_profile . -# ln -s ./pd/.bashrc . -# ln -s ./pd/.jupyter . -# ln -s ./pd/.ipython . -# ln -s ./pd/.config . -# ln -s ./pd/.local . +test -f ./pd/.bash_profile || touch ./pd/.bash_profile +test -f ./pd/.bashrc || touch ./pd/.bashrc +test -d ./pd/.jupyter || mkdir ./pd/.jupyter +test -d ./pd/.ipython || mkdir ./pd/.ipython +test -d ./pd/.config || mkdir ./pd/.config +test -d ./pd/.local || mkdir ./pd/.local +ln -s ./pd/.bash_profile . +ln -s ./pd/.bashrc . +ln -s ./pd/.jupyter . +ln -s ./pd/.ipython . +ln -s ./pd/.config . +ln -s ./pd/.local . # Load JupyterLab extension dependencies source /apps/lmod/lmod/init/profile