Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data: sequencing (NGS), microarray and proteomics data. Most Bioconductor components are distributed as R packages.
Version on CSC's Servers
Taito: 3.4 with R-3.3.2
Many Bioconductor packages are pre-installed in R in Taito.
In Taito, load the R-module with the command:
module load r-env
For interactive use in Taito-shell you can either use R in the command line or via RStudio. You can also request an interactive job in a computing node in Taito. For jobs requiring more than 4 cores or over 120GB of memory, you can run your R-script in batch mode. See the the R documentation for more details, required commands and example batch job file.
To install possibly missing packages, type (in an R session):
or request the installation by contacting firstname.lastname@example.org.
When you use R, please cite. Please note that corresponding citation is available at R by typing citation().
R Development Core Team (2008). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL http://www.R-project.org.
R Core Team (2013). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL http://www.R-project.org/.
When you use Bionconductor, please cite: