A fundamental part of our mission as a computationally-oriented research group consists of implementing the developed statistical and bioinformatic methods into publicly available open-source software. We do it by means of software packages that run on top of the R platform and contributing these packages to the Bioconductor project.

qpgraph Estimate gene and eQTL networks from high-throughput expression and genotyping assays.
GenomicScores Provide infrastructure to store and access genomewide position-specific scores within R and Bioconductor.
VariantFiltering Filter genetic variants using different criteria.
GSVA Estimate variation in gene set enrichment through the samples of an expression data set. Jointly developed with Justin Guinney from Sage Bionetworks.


Research Program on Biomedical Informatics (GRIB)
Dept. of Health & Experimental Sciences (CEXS) Universitat
Pompeu Fabra
Barcelona Biomedical Research Park (PRBB)