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.