Welcome to The TAGC LaboratoryEnglish (United Kingdom) French (Fr)

The TAGC changed its name. TAGC now stands for "Theories and Approaches of Genomic Complexicity". Please go to the new web site.


High-throughput molecular technologies and bioinformatics to decipher biological networks in diseases and development

The research project is organized along three main research axes (see below). As a whole, we pursue a better understanding of fundamental complex biological processes and of several human diseases, through multidisciplinary, bona fide systems biology approaches. We aim at identifying genetic and epigenetic variations that perturb molecular networks, and alter complex phenotypes at the cellular, tissue, or organism levels. This implies that we ensure continuity between basic and health researches on the one hand, and complementarities between the various implemented programs on the other hand, while promoting interdisciplinarity.

Interdisciplinarity is the corner stone of Inserm UMR 1090. Indeed, its members have wide skills going from cellular or molecular biology to analysis and modeling of the biological networks. Moreover, they have naturally developed collaborations with various hospital departments and hospital-based laboratories, as well as with computer science, physics and mathematics laboratories. These, together with our joined commitment to analyze sophisticated biological questions using high-throughput approaches warrant the feasibility of our research projects.

Last but not least, our expertise and achievements are disseminated at the local, national and international level, more particularly by means of the IBiSA / France Genomique platform Transcriptomics and Genomics Marseille-Luminy (TGML), which is an integral part of the research unit. In addition, the TAGC-TGML contributes to the IFB (Institut Français de Bioinformatique), which gathers the main french bioinformatic platforms, and  Marseille Immunopole, which aims at accelerating the discovery and development of new immunotherapies for human diseases.



Complex traits &


Developmental genes
and networks








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