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 <3 – May 2022


Administrative assistant

  • Marie Le Roïc

Academic and research staff


Former members

Ph.D. students


  • Olivier Boullé, IE Inria, MolecularXiv
  • Julien Leblanc, IE CNRS, dnarXiv
  • Anne Guichard, Enginneer, ANR Supergene
  • Gildas Robine, IE CNRS, ANR GenoPIM
  • Loren Dejoies, Post-doc Inria, AEX Barde

2023 Internship Students

  • Siegfried Dubois
  • Léo Laffeach (ENS project)
  • Victor Levallois
  • Nicolas Maurice

GenScale – June 2017


GenScale – June 2016


GenScale – June 2015

GenScale - June 2014

GenScale – June 2014

GenScale - June 2012

GenScale – June 2012

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