Team presentation

GenScale is a bioinformatics research team. Its main goal is to develop scalable methods, tools, and software for
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
Algorithms
- Optimized (time and memory) tools dedicated to NGS processing
- Data compression, genome assembly, variant detection, metagenomics, GWAS (genome-wide association Study)

Parallelism
- Combine several levels of parallelism
- Use existing techniques such as multithreading or MapReduce
- Constrained algorithmic development, in particular, targeting hardware accelerators
Applications
- Participate in biology-oriented projects
- INRAe, CEA, National Museum, Hospitals, …