processing genomic data. Our research is motivated by the fast development of next-generation sequencing (NGS) and third generation (TGS) technologies that provide very challenging problems both in terms of bioinformatics and computer sciences.
GenScale research is organized along four main axes:
- Data structures
- Indexing the mass of genomic data
- Focus on the de-Bruijn graph structure.
- Provide end-user and optimized library
- Optimized (time and memory) tools dedicated to NGS processing
- Data compression, genome assembly, variant detection, metagenomics, GWAS (genome-wide association Study)
- Combine several levels of parallelism
Use existing techniques as multithreading or MapReduce
- Constrained algorithmic development, in particular, targeting hardware accelerators
- Participate in biology-oriented projects
- Inra, CEA, National Museum, Hospitals, …