Teams

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 ...

Background information

Task 5.2 aims to demonstrate how mobilisation of real-world population, health and care data across national borders can provide answers to policy-relevant research questions. Eventually, it aims to prototype a workflow that is standard for population health research. Here, the research question is approached by identifying a causal effect that allows to evaluate a public health intervention. As such, a methodology for approaching causal inference when conducting ...

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.

CImorgh IT solutions is a bioinformatics and healthcare company located in Iran.

Common Infrastructure for National Cohorts in Europe, Canada, and Africa

Over the last forty years, we have seen the emergence of increasing numbers of large cohorts of human samples from research and national healthcare initiatives (e.g. UK Biobank, H3Africa). In Europe alone, the BBMRI-ERIC directory lists nearly 600 distinct biobanks with over 100 million samples of biomaterials and genetic data. In Canada there are sixteen biobanks and in Africa, three H3Africa Biorepositories are now ...

Project that aims to create the NeuroPlat portal for neurodrug design

The Common Workflow Language (CWL) is an open standard for describing analysis workflows and tools in a way that makes them portable and scalable across a variety of software and hardware environments, from workstations to cluster, cloud, and high performance computing (HPC) environments. CWL is designed to meet the needs of data-intensive science, such as Bioinformatics, Medical Imaging, Astronomy, High Energy Physics, and Machine Learning.CWL is developed by a multi-vendor working group consisting ...