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The aim of our research group is to develop validated high throughput computational biology to study the behaviour of biological systems ranging from protein families to relational systems such as hyperstructures (macromolecular complex, organelles, viruses...) or biological networks (metabolosome, transcriptional, developmental or disease-related networks...). To tackle these objectives, two complementary strategies are developed in our laboratory: • bioinformatics involved in the development of original algorithms and in the construction of an integrated platform • bioan*lysis dedicated to in-depth an*lysis of specialized biological systems in order to identify potential interesting thera*eutic targets and improve algorithms and computational strategies. In this context, the functional genomics of cancer or human diseases constitute invaluable systems combining the availability of numerous genomic and functional data from human patients and the existence of specific mutations in an*mal models with the respective 'omics' data à étudier des systèmes biologiques allant des familles de protéines jusqu'aux systèmes relationnels tels que les hyperstructures (complexes macro-moléculaires, organelles, virus,...) ou les réseaux biologiques (métabolosome, réseaux de disponibilité de nombreuses données génomiques et fonctionnelles provenant de patients humains et l'existence de mutations spécifiques Copyright © 2019 LBGI Bioinformatique et Génomique Intégratives. All Rights Reserved.