recipe bioconductor-edger

Empirical Analysis of Digital Gene Expression Data in R

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/edgeR.html

License:

GPL (>=2)

Recipe:

/bioconductor-edger/meta.yaml

Links:

biotools: edger, usegalaxy-eu: 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 read counts, including ChIP-seq, ATAC-seq, Bisulfite-seq, SAGE and CAGE.

package bioconductor-edger

(downloads) docker_bioconductor-edger

Versions:
3.40.0-0,  3.36.0-2,  3.36.0-1,  3.36.0-0,  3.34.0-0,  3.32.1-0,  3.32.0-0,  3.30.0-0,  3.28.0-1, 

3.40.0-0,  3.36.0-2,  3.36.0-1,  3.36.0-0,  3.34.0-0,  3.32.1-0,  3.32.0-0,  3.30.0-0,  3.28.0-1,  3.28.0-0,  3.26.5-0,  3.26.0-0,  3.24.3-0,  3.24.1-0,  3.22.5-0,  3.20.7-0,  3.20.1-0,  3.20.0-0,  3.18.1-0,  3.16.5-0,  3.14.0-1,  3.14.0-0,  3.12.1-1,  3.12.1-0,  3.12.0-0,  3.10.5-0

Depends:
Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-edger

and update with:

conda update bioconductor-edger

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-edger:<tag>

(see bioconductor-edger/tags for valid values for <tag>)

Download stats

Link to this page

Render an install-with-bioconda badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-edger/README.html)