recipe bioconductor-edger

Empirical Analysis of Digital Gene Expression Data in R

Homepage

https://bioconductor.org/packages/3.11/bioc/html/edgeR.html

License

GPL (>=2)

Recipe

/bioconductor-edger/meta.yaml

Links

biotools: 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
3.30.0-03.28.0-13.28.0-03.26.5-03.26.0-03.24.3-03.24.1-03.22.5-03.20.7-0

3.30.0-03.28.0-13.28.0-03.26.5-03.26.0-03.24.3-03.24.1-03.22.5-03.20.7-03.20.1-03.20.0-03.18.1-03.16.5-03.14.0-13.14.0-03.12.1-13.12.1-03.12.0-03.10.5-0

Depends
Required By

Installation

With an activated Bioconda channel (see 2. 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>)