Repository edger
Name: edger
Owner: amawla
Synopsis: Empirical analysis of digital gene expression data. GVL. PeterMac
Estimates differential gene expression for short read sequence count using methods appropriate for count data. 
Performs digital differential gene expression analysis between groups (eg a treatment and control). Biological replicates provide information about experimental variability required for reliable inference. 

Designed for easier use in Galaxy.

R package requirements: 
edgeR 
limma 

Contributors: Monica Britton, Blythe Durbin-Johnson, Joseph Fass, Nikhil Joshi, Alex Mawla
Clone this repository: hg clone https://toolshed.g2.bx.psu.edu/repos/amawla/edger
Type: unrestricted
Revision: 4:a8a56766694e
This revision can be installed: True
Times cloned / installed: 554

Contents of this repository

Name Description Version Minimum Galaxy Version
- Estimates differential gene expression for short read sequence count using methods appropriate for count data 0.0.3 any

Categories
Statistics - Tools for generating statistics