bioconductor-edger

Differential expression analysis of RNA-seq expression profiles with biological replication. Implements a range of statistical methodology based on the negative binomial distributions, including empirical Bayes estimation, exact tests, generalized linear models and quasi-likelihood tests. As well as RNA-seq, it be applied to differential signal analysis of other types of genomic data that produce counts, including ChIP-seq, SAGE and CAGE.

Home http://bioconductor.org/packages/release/bioc/html/edgeR.html
Versions 3.12.0
License GPL (>=2)
Recipe https://github.com/bioconda/bioconda-recipes/tree/master/recipes/bioconductor-edger

Installation

With an activated Bioconda channel (see Setup and usage), install with:

conda install bioconductor-edger

and update with:

conda update bioconductor-edger