As its name implies, the Functional Population Genomics Group at KTH-CBH conducts research on genomic sequencing data which is studied through highly parallel, genome-wide and multi-sample approaches. This type of work relies on HPC resources for data storage and upscaling of high-throughput analysis. We are particularly interested in characterizing how genetic variants affect the transcriptome, and how these cellular changes contribute to genetic risk for both common and rare diseases and traits. We analyze these questions both by computational integration analysis of large genomic and transcriptomic data sets and by experimental manipulation of human cell lines. While the name implies that our work involves mostly the analysis of protected human data, a large share actually involves non-sensitive data sets such as those derived from cell lines and open repositories.