Close collaboration with the University of Bourgogne Data Centre
FHU TRANSLAD has equipped itself with a high-performance bioinformatics platform through continuous funding from various sources (DGOS through the Rare Diseases Plan 2, Bourgogne region, CEPER, FEDER-Spanish Federation for Rare Diseases). The platform is currently made up of 256-processor data servers (DELL C6100) and 180TB storage servers (DELL R510), installed in the University of Bourgogne Data Centre so as to have in place a standardised analysis platform with a graphic interface that can be accessed by more than one user simultaneously and long-term storage of sequencing data.
The development of this platform is part of a wider exercise, the aim of which is to bring together the local skills in bioinformatics and biostatistics under a single shared bioinformatics platform, BIOME, certified by the platform COS (strategic direction committee) of the University of Bourgogne, to better address increasing requirements for the analysis of massive amounts of genomic and transcriptomic data.
Why the need for a bioinformatics platform ?
High-throughput sequencing machines have the capacity to perform sequencing on up to 600 billion nucleotides at a time, which creates a major challenge, i.e. managing and analysing the colossal amount of data generated. To give an example, exome sequencing on a patient typically generates 5 to 15 billion base pairs. This raw data yields files several gigabytes in size.
Analysing and interpreting this overwhelming amount of data therefore calls for very specific bioinformatics knowledge. Consequently, the implementation of routine high-throughput diagnostic sequencing could only be made possible through the creation of a bioinformatics platform specialising in the analysis of these data.
The objectives of the platform
- To consolidate and develop local expertise in bioinformatics and biostatistics for application to the proteomic, genomic and transcriptomic data produced
- To help local teams with projects requiring the production of massive amounts of data, the design of analysis experiments and the interpretation of data: to develop the use of exomes for the diagnosis of patients with rare developmental disorder disease
- To serve as a basis for training students/professionals and for the dissemination of data analysis tools