Prof. Zavolan's group combines high throughput experiments with computational modeling to better understand how the processing, decay and translation of mRNAs are regulated, both in the context of physiological changes in cell fate as well as in pathologies such as cancer.
Prof. Marques group studies intergenic lncRNAs (lincRNAs), aiming to increase the known functional repertoire of lincRNAs and to establish their contributions to homeostasis, phenotypic variation and disease. The group combines the predictive power of computational biology with extensive genetic and molecular analysis of candidates
Prof. Ohler's research goal is to investigate how regulatory networks enable the correct development of complex organisms, with their multitude of cell types that carry out different functions despite the same genome. His lab develops computational methods that use diverse sources of molecular information. They frequently frame questions as classification problems and use machine learning approaches to make testable predictions.