recipe r-empiricalfdr.deseq2

Auxiliary functions for the DESeq2 package to simulate read counts according to the null hypothesis (i.e., with empirical sample size factors, per-gene total counts and dispersions, but without effects of predictor variables) and to compute the empirical false discovery rate.

Homepage

https://CRAN.R-project.org/package=empiricalFDR.DESeq2

License

GPL3 / GPL-3

Recipe

/r-empiricalfdr.deseq2/meta.yaml

package r-empiricalfdr.deseq2

(downloads) docker_r-empiricalfdr.deseq2

Versions

1.0.3-4, 1.0.3-3, 1.0.3-2, 1.0.3-0

Depends bioconductor-deseq2

Depends bioconductor-genomicranges

>=1.32.7,<1.34.0

Depends r-base

>=3.5.1,<3.5.2.0a0

Requirements

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install r-empiricalfdr.deseq2

and update with:

conda update r-empiricalfdr.deseq2

or use the docker container:

docker pull quay.io/biocontainers/r-empiricalfdr.deseq2:<tag>

(see r-empiricalfdr.deseq2/tags for valid values for <tag>)