Lab in 2015
Sven’s Computational Biology Group had a productive year: We continue to explore how to integrate molecular phenotypes, such as gene expression data and metabolomics profiles, with information from genome-wide association studies (GWAS). In our Disease Module Identification DREAM challenge we asked the community for algorithms that partition Genomic Networks and identified those that best reveal subsets of linked genes that play a role in various human traits and diseases, according to GWAS. We also found that Genome-Wide Association between Transcription Factor Expression and Chromatin Accessibility Reveals Regulators of Chromatin Accessibility and contributed to Ana’s paper showing that cis-Acting Complex-Trait-Associated lincRNA Expression Correlates with Modulation of Chromosomal Architecture. We also collaborated with Vladimir Katenev from the DPT in a study on High capacity in G-protein-coupled receptor signalling (to be appear in Nat Comm soon).