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, …


GenScale May 2023


Photos of GenScale through the Ages


Administrative assistant

  • Marie Le Roïc

Academic and research staff

Post Doc


  •  Veronika Hendrychová – M1 student from Czech Technical University (Erasmus)
  • Francesca Brunetti – Visiting Ph.D. student from the Sapienza University of Rome

Former members

Ph.D. students


  • Olivier Boullé, IE Inria, MolecularXiv
  • Julien Leblanc, IE CNRS, dnarXiv
  • Florestan De Moor, IE CNRS, BioPIM
  • Erwan Drezen, Institut Pasteur ( collaborator)

Internship Students

  • Alix Régnier
  • Mélody Temperville
  • Nicolas Buchin

Permanent link to this article: