Welcome

Welcome to the Laboratory for Computational Systems Biology at the Freiburg Institute for Advanced Studies (FRIAS).

Research

We investigate how disease and other perturbations critically affect normal network structures of interactions between DNA, RNA, proteins and metabolites, and how the dynamics of perturbed networks explains biological functioning at a system level. Our lab specializes in the development of methods, algorithms and software for the integration, analysis and modeling of high-throughput, genome-wide data. We collaborate with experimental life science groups to obtain data and interpret and validate results.

Representative publications

Structural and functional organization of RNA regulons in the posttranscriptional regulatory network of yeast, Nucleic Acids Research 39, 9108 - 9117 (2011). Featured Article
(A. Joshi, Y. Van de Peer, T. Michoel)
[journal] [PDF] [supplementary website]

Enrichment and aggregation of topological motifs are independent organizational principles of integrated interaction networks, Molecular BioSystems 7, 2769 - 2778 (2011).
(T. Michoel, A. Joshi, B. Nachtergaele, Y. Van de Peer)
[journal] [PDF] [arXiv] [supplementary information] [software]

Module networks revisited: computational assessment and prioritization of model predictions, Bioinformatics 25, 490 - 496 (2009).
(A. Joshi, R. De Smet, K. Marchal, Y. Van de Peer, T. Michoel)
[journal] [PDF]

Software & resources

RNA regulon-omics - A portal for molecular biologists who wish to design detailed hypotheses from a large-scale, top-down analysis of posttranscriptional regulation in yeast.
[homepage] [paper]

Network Motif Clustering Toolbox - a Matlab toolbox for clustering topological motifs in integrated networks.
[homepage] [paper]

LeMoNe - a Java package for learning module networks from gene expression data.
[download] [paper] [paper] [paper] [paper] [paper] [paper] [paper] [paper]

In the press

Fabulous network shines spotlight on protein cleavage, FRIAS NEWS 05 (2012). [PDF]