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HNSCC Manuscript Workflow

Workflow code supporting the manuscript 'Assessing Individual Head and Neck Squamous Cell Carcinoma Patient Response to Therapy Through Integration of Functional and Genomic Data'

Required Files

Files required for the data folder:

Files can be downloaded from https://github.com/biodev/hnscc_data

  • hnscc_clinical.txt
  • hnscc_inhibitor_data.txt
  • hnscc_targetome_subset.txt
  • hnscc_wes_somatic_calls.txt
  • hnscc_gene_cna_calls.txt
  • hnscc_rnaseq_counts.txt
  • hnscc_rna_annots.txt
  • hnscc_rppa.txt
  • hnscc_rppa_abs.txt
  • wgcna_mm.txt
  • tcga_plus_hnscc_exprs.txt.gz
  • hnscc_netprop_results.txt

Distributed as part of this repo:

  • Derived from the TCGA-HNSC manuscript and licensed under the terms of the corresponding manuscript.
    • data/tcga_targetable_genes.xlsx -- Genes and pathways from Figure 3
    • data/putative_drivers_tcga_gistic_regions.xlsx -- Formed from the highlighted genes in Supplemental Data S2.1
    • data/tcga_mut_freq.xlsx -- Significant (q < 0.1) genes and frequencies from Figure 2

Also need to supply the following files in the external folder:

Running the workflow

This workflow uses the targets R package. To run simply use the command:

targets::tar_make()

R and Package Information

R version 4.4.2

Package Version
targets 1.9.0
clusterProfiler 4.14.3
ComplexHeatmap 2.22.0
ConsensusClusterPlus 1.70.0
edgeR 4.4.0
ggplot2 3.5.1
ggrepel 0.9.6
igraph 2.1.1
openxlsx 4.2.7.1
patchwork 1.3.0
RColorBrewer 1.1-3
tidyverse 2.0.0
uwot 0.2.2
extrafont 0.19

License

MIT LICENSE

This code was developed by Daniel Bottomly, a member of the McWeeney Lab and is protected under copyright by the Oregon Health and Science University Knight Cancer Institute, 2024.

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Workflow code supporting the manuscript 'Assessing Individual Head and Neck Squamous Cell Carcinoma Patient Response to Therapy Through Integration of Functional and Genomic Data'

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