Prof. Zavolan's group combines high througput experiments with computational modeling to better
understand RNA processing and cell fate. Amongst her interests are miRNA target prediction and
identification using scRNA, cancer related regulators of 3' UTR processing, and inferring gene expression regulatory networks.
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
Integrative RNA Biology - The RNA COSI @ ISMB 2019