A developing network
Genopole is building a strategy on three pillar sectors, each contributing to its ambition of transforming life sciences technologies into tomorrow’s therapeutic and industrial solutions. The computational genomics sector lends its fundamental support to the two other sectors: innovative therapies and the bioeconomy. It takes on the challenge of valorizing the "Big Data" resulting from large-scale sequencing. This involves standardizing those data, aggregating them with others, and interpreting the information within to better understand biological mechanisms, improve disease diagnostics & treatments, and conceptualize biological—and thus more sustainable—processes for the manufacture of medicines, materials, energies and more.
In this still-emerging sector, Genopole has the advantage of counting six laboratories for research in bioinformatics, biomathematics and genomics, nine businesses developing applications in bioinformatics and artificial intelligence, and five shared-use platforms, two of which provide informatics tools. In 2021, Genopole financed the outfitting of the CEA premises housing the National Center of Human Genomics Research (CNRGH) and CRefIX, the reference center responsible for sequencing processes harmonization.
The biocluster constructed a network of academic and industrial partners and foreshadowed a proposed project for an institute responding to their needs in computational genomics. That project, the objective of which is to federate a community of biologists mathematicians, informaticians and researchers in human and social sciences, was submitted by Genopole and the University of Évry as an "interdisciplinary object" in a call for expression of interest by Paris-Saclay University. The operational model and offer of this future computational genomics institute will be consolidated in 2022.
In 2021, to accompany the emergence of a computational genomics sector, Genopole pursued its initiatives to energize initial bioinformatics training with the territory’s higher learning facilities. As part of those initiatives, the IBISC laboratory provided training to students at the Grande Écoles Télécom SudParis and ENSIIE. Strengthening the offer of high-level, two-axis training in biology and data sciences is a major issue in computational genomics. To successfully address it, new concepts and innovative methods need to be invented in mathematics, statistics and informatics, all in synergy with biological sciences