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 as multithreading or MapReduce
    • Constrained algorithmic development, in particular, targeting hardware accelerators
  • Applications
    • Participate in biology-oriented projects
    • Inra, CEA, National Museum, Hospitals, …

GenScale <3 – May 2022



Academic and research staff


Former members


Administrative assistant

  • Marie Le Roïc

PhD students


  • Olivier Boullé, dnarXiv project
  • Julien Leblanc, IE CNRS
  • Anne Guichard, Enginneer, ANR Supergene
  • Gildas Robine, IE CNRS, Projet GenoPIM

2021 Internship Students

  • Sandra Romain, M2 Bio-info, Rennes
  • Grégoire Prunier, M2 Bio-info, Rennes
  • Roland Faure, M2 Bioinformatique et modélisation, Paris VI
  • Rania Ouazahrou, M2 Bio-info, Rennes
  • Pauline Hamon, M2 Bio-Info, Rennes
  • Igor Martayan




June 2019


GenScale – June 2018



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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