Developing a Python wrapper for SQLite3 to take in parameters from the user and automate the queries to the database, producing .csv files ready for parsing
Summary: https://docs.google.com/presentation/d/1Xarn0oowpogUH9NmHpkTC-sKIEeIR__ac2_Azgp5Ilo/edit?usp=sharing
Presentation 1 Link(can view only): https://docs.google.com/presentation/d/1lDZIZd-aw6z8_7F-tAtBdKWFPR-5bLE_pI3pmGNPjFM/edit?usp=sharing
PrediXcan paper (see methods): https://www.nature.com/articles/ng.3367
GTEx about: https://gtexportal.org/home/documentationPage
GTEx portal: http://science.sciencemag.org/content/348/6235/648
Description of layout of .db files: https://s3.amazonaws.com/predictdb2/contributed/MESA-2018-05-v2/MESAdb_2018-05-28_updated_README.txt
-Documentation (Angela)
-SQL querying (Carlee)
-CSV parsing (Shreya)
The Wheeler Lab
To take parameters(gene id, gene name, # of SNPs in the model,
test r^2 average, cross validation of r^2 average, etc.) from
the user and query databases from PredictDB.org to gather info
about geneotype, gene expression, and associations. This info
will be placed in a .csv file for the user to parse/use.
SQL, Pandas, .db files(input)