- 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.
GPL3 / GPL-3
- package r-empiricalfdr.deseq2¶
- depends bioconductor-deseq2:
- depends bioconductor-genomicranges:
- depends r-base:
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install r-empiricalfdr.deseq2 and update with:: mamba update r-empiricalfdr.deseq2
To create a new environment, run:
mamba create --name myenvname r-empiricalfdr.deseq2
myenvnamebeing a reasonable name for the environment (see e.g. the mamba docs for details and further options).
Alternatively, use the docker container:
docker pull quay.io/biocontainers/r-empiricalfdr.deseq2:<tag> (see `r-empiricalfdr.deseq2/tags`_ for valid values for ``<tag>``)