Our team combines two interdisciplinary approaches to model the behaviour of molecular regulatory networks.
The first approach leans on the development of the software suite RSAT (http://www.rsat.eu) devoted to the analysis of functional genomic data (ChIP-seq, transcriptome) in order to delineate cis-regulatory regions (promoters, enhancers) and their role in the control of gene expression.
The second approach leans on the development of the software GINsim (http://www.ginsim.org) devoted to the dynamical modelling and the analysis or large signalling/regulatory networks.
These methodological developments are motivated by and applied to the study of regulatory networks controlling cell specification, differentiation and reprogramming in animals, in particular of cells of the immune system, in close collaboration with several experimental teams.
Tools and models are systematically made available to the scientific community.