CoBiODA IPMC bioinformatics Hub
Présentation
The volume of data from experiments in biology is constantly increasing. The storage, access and use of this highly heterogeneous multi-omics data is essential to allow the success of large-scale scientific projects in biology. Many of the institute’s research teams and technical platforms are in short supply of bioinformatics resources for the analysis of their generated data, whether in genomics, proteomics, cytometry or imaging. Today, the analysis of these different types of data is mainly treated independently, platform by platform, project by project, team by team without structuring the resources and bioinformatics skills required and without transversal integration of the different datasets produced by the technical core facilities. The objective of the Compputation Biology & Omics Data Analysis group is to organize and structure the bioinformatics ressources to provide an efficient research support for the IPMC teams aiming to allow an emulation of the bioinformatics resources within a common structure. Such a structure represent the basis for developing strong interactions between bioinformaticians, gathering the team bioinformatics efforts to facilitate transversal integration of heterogeneous data sets produced by the different technical platforms. IPMC research teams could thus benefit from the high-performance bioinformatics support necessary for the production of high-impact publications enhancing the work of the institute’s researchers and engineers.
