CoBiODA IPMC bioinformatics Hub
About
The volume of biological data generated by modern experiments is continuously increasing. Efficient storage, access, and analysis of these highly heterogeneous multi-omics datasets are essential for the success of large-scale biological research projects. Many research teams and technical core facilities at the institute lack sufficient bioinformatics resources to analyze the data they generate, whether in genomics, proteomics, cytometry, or imaging.
Currently, these diverse data types are generally analyzed independently – platform by platform, project by project, and team by team – without a coordinated structure for the bioinformatics resources and expertise required, and without enabling the transversal integration of datasets produced across the institute's technical core facilities.
The objective of the Computational Biology & Omics Data Analysis group is to organize and structure bioinformatics resources to provide efficient research support for IPMC teams while fostering collaboration within a shared computational framework. Such a structure will establish the foundation for strong interactions among bioinformaticians, consolidate expertise across the institute, and facilitate the integrative analysis of heterogeneous datasets generated by the different technical core facilities. As a result, IPMC research teams benefit from high-performance bioinformatics support, enabling the production of high-impact publications and enhancing the scientific output of the institute's researchers and engineers.
