We develop user-friendly bioinformatics resources that enable and empower researchers to analyze and share their own omics data.
We study microbial communities in natural systems through a combination of population dynamic modelling, metagenomics, and characterization of environmental conditions. In particular we are interested in how fluxes of chemical energy shape microbial communities in hydrothermal systems.
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 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.