We develop user-friendly bioinformatics resources that enable and empower researchers to analyze and share their own omics data.
We develop and apply algorithms for the automatic discovery of patterns and regularities in molecular biology data.
We develop and use statistical and machine learning approaches to understand how genetic, epigenetic and gene expression variation cause variation in complex traits and diseases in human.
We develop and apply computational methods for the prediction of the biological activity, metabolic fate and toxicity of drugs, cosmetics and agrochemicals.
We examine the dynamic properties that allow proteins to associate with cellular membranes, lipids or ligands, as well as the conservation of flexibility through evolution.
The group's research focusses on the construction, simulation, analysis and optimization of dynamic, mathematical models for biological and biochemical processes on different levels of organization
The Valen lab is dedicated to the study of gene regulation and RNA biology.
Kjell Petersen is leading the CBU Service Group, and his main research interest is gene set and network based analysis approaches for omics data.