R and Bioconductor

The HPC group supports Bioconductor by providing it in modules:


Please consider the general notes on R. Particularly the notes on optimization and parallelization.

In case you require any assistance, do not hesitate to approach us. Any feedback on usage, which can be documented and help others is much appreciated.

The number of installed libraries will vary over time. To see the installed Bioconductor libraries of a particular module, start up R and inquire with:

# list all installed packages
pkgs <- installed.packages()[,'Package']
## combine and filter for BioC only
bioc_pkgs <- tibble(pkgs, source) %>% filter(source == "Bioconductor")
options(tibble.print_max = Inf)
  • software/topical/lifescience/r_bioconductor.txt
  • Last modified: 2019/11/15 10:15
  • by meesters