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MAGe – Modèles & Algorithmes pour la Génomique

Disciplines BiologyComputer Science,  Mathematics
Research fields

Biology :  Cancerology EpidemiologyEvolutionGenomicsTranscriptomics

Computer science: Data analysisBioinformatics,

Mathematics: Statistical modelsBiostatisticsNetwork modelling

Supporting organisms Université Grenoble-Alpes CNRSVetAgro Sup, Grenoble-INP
Geographical location Domaine de la Merci (La Tronche)

Laboratoire TIMC – Translational Innovation in Medicine and Complexity

Team leader

Olivier François



According to the geneticist Theodozius Dobzhansky (1973), nothing in biology makes sense except in the light of evolution. A current version of this quotation could add a light of genomics, the revolution of the 21rst century in the biological field. How not to see the dramatic progress and the implication of genomics for medicine, for the study of cancers, infections by pathogens, genetic or environmental diseases, associated treatments, etc.

By developing models and methods for the analysis of genomic data (in the broad sense), the MAGE group is part of the radical transformation of biological sciences and their fusion with computational sciences and mathematics. The team is strongly interdisciplinary, composed of biologists and mathematicians mastering the multiple facets of computational biology. The team objectives include four major areas of research, and new computational themes.

Research topics:

  • Analysis of genetic and epigenetic deregulations in cancers: characterization of inter- and intra-tumor heterogeneity (PI: Magali Richard). 

  • Environmental genomics and epigenetics: mediation of environmental exposures, predictive molecular ecology (PI: Olivier François). 

  • Evolution of microorganisms and metagenomics: competition and innovation in bacterial communities (PI: Antoine Frénoy). 

  • Bioinformatics of NGS data: exome-seq, rip-seq, CNVs, call for genotypes and applications to male infertility (PI: Nicolas Thierry-Mieg). 

  • Any other axis welcome!