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

Versions:

1.0.3-9,  1.0.3-8,  1.0.3-7,  1.0.3-6,  1.0.3-5,  1.0.3-4,  1.0.3-3,  1.0.3-2,  1.0.3-0

Depends:

• bioconductor-deseq2

• bioconductor-genomicranges

• r-base >=4.2,<4.3.0a0

Required By:

Installation

With an activated Bioconda channel (see 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>)

Download stats

Link to this page

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