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.
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
A Docker container is available at https://quay.io/repository/biocontainers/r-empiricalfdr.deseq2.