Networks and Dynamics

The main focus of this research line is on the analysis of functional genomics data to infer biological networks. It is known that genes, proteins and metabolites interact in a living organism. The ensemble of interactions or parts thereof can be seen as networks. There are different types of biological networks. Examples of these networks are protein- protein interaction networks in the synapse and metabolic network inference (Diana Hendrickx). Also association networks can be built based on metabolite levels in the blood, e.g., hormones (Daniel Vis). In life itself time plays an important role. Therefore the dynamic aspect of data analysis is of prime importance. We also develop methods to analyze dynamic functional genomics data and the interaction between different compartments of an organism (Jeroen Jansen). This is especially relevant for analyzing complex human systems biology data and this connects therefore to the Data Fusion theme.

Part of the protein protein interaction network of drosophila