Teams

The Bio2 core is a scientifically complex facility that provides data analysis, scientific computing and data management support to a wide range of scientists within the Wellcome-MRC Institute of Metabolic Science (IMS) and across the wider scientific community in Cambridge.The remit of the core includes:Use, develop and maintain state of the art SOP and methods for the analysis (and visualisation) of scientific data.Provide assistance in biostatistics and experimental design.Mine and analyse the ...

Our lab, affiliated with Genoscope and the Institut de Biologie François Jacob of CEA, is part of a leading research institution with over 20,000 employees across nine centers in France, focusing on defense, low carbon energies, technological, and fundamental research.Genoscope, founded in 1996, shifted to environmental genomics in 2006, collaborating with the national scientific community on diverse projects. Affiliated with Paris-Saclay University, Genoscope specializes in biodiversity exploitation ...

The Bioinformatics Unit provides researchers at CRG-CNAG/PRBB and external organizations with services of consultation, planning NGS and other genomic experiments, NGS data processing, analysis and management, software and database development, bioinformatics training, and access to high-performance computing resources at CRG.

The Computational Earth Sciences (CES) group is a multidisciplinary team with different technical profiles that closely relates to all the other groups in the department. CES supports scientists in their daily work and provides a framework for the most efficient use of IT resources, specializing in HPC. At the same time, the group has different research lines related to profiling and optimization and porting Earth modeling codes toward Exascale computing. The group has links and collaborations ...

Computational Algorithms for Protein Structures and Interactions - Inria, CNRS, University of Lorraine The CAPSID team develops algorithms and software to help study biological systems and phenomena from a structural point of view. In particular, the team aims to develop algorithms to facilitate and improve the 3D modeling of large multi-component bio-molecular machines.