Skip to content

Code for analyzing post-transcriptional regulation across human tissues (Franks et al., 2017 DOI: 10.1371/journal.pcbi.1005535)

Notifications You must be signed in to change notification settings

SlavovLab/tissue-ptr

 
 

Repository files navigation

Post-transcriptional regulation across human tissues

This repository contains code for analyzing post-transcriptional regulation across human tissues based on mRNA and protein datasets. The analysis was reported by Franks et al., PLOS Computational Biology (2017). The website of the paper contains additional resources.

Reproducing the analysis reported by Franks et al., 2017

  • Most of the results and figures can be generated by running the code tissue-ptr.R
  • The code for the gene set enrichment analysis (GSEA) is in analysis.R
  • Relative PTR comparisons between different protein datasets (Kim et al. and Wilhelm et al.) are evaluated in rptr.r
  • Most relevant and necessary data (excluded the "raw" preprocessed data) is in the data/ dir.
  • Raw data are available here: https://www.dropbox.com/sh/4nzzqtsoixsh5gm/AAAMtqZ9qU8F1ggyaIM9prqKa?dl=0
  • Raw data are normalized using code in preprocess_*.R files

Correspondence

Questions can be directed to Slavov Lab

About

Code for analyzing post-transcriptional regulation across human tissues (Franks et al., 2017 DOI: 10.1371/journal.pcbi.1005535)

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • R 100.0%