NGS

The genomic platform of the Institut de Biologie de l’École normale supérieure (IBENS) assists you in high throughput functional genomics projects. Our 15-year experience in transcriptomic analysis and an ISO-9001 quality approval guarantee us precision and traceability when treating your samples.

We are charter member of the network « Genomic Paris Centre », in partnership with Institut Curie and Université Pierre et Marie Curie (UPMC). We are approved by the Infrastructures en Biologie Santé et Agronomie (IBiSA) and are part of the France Génomique consortium.

We offer our help in every aspect of your genomic projects. Whether you have questions about funding request, experimental design, management of your samples, use of our equipment, data analysis or training, we are here to help. Do not hesitate in visiting the website to discover our activities. You can go to the contact page if you wish to know more about us.

IMGT®, the international ImMunoGeneTics information system®, http://www.imgt.org, is the global reference in immunogenetics and immunoinformatics, created in 1989 by Marie-Paule Lefranc (Université Montpellier 2 and CNRS). IMGT® is a high-quality integrated knowledge resource specialized in the immunoglobulins (IG) or antibodies, T cell receptors (TR), major histocompatibility (MH) of human and other vertebrate species, and in the immunoglobulin superfamily (IgSF), MH superfamily (MhSF) and related proteins of the immune system (RPI) of vertebrates and invertebrates. IMGT® provides a common access to sequence, genome and structure Immunogenetics data, based on the concepts of IMGT-ONTOLOGY and on the IMGT Scientific chart rules. IMGT® works in close collaboration with EBI (Europe), DDBJ (Japan) and NCBI (USA). IMGT® consists of sequence databases, genome database, structure database, and monoclonal antibodies database, Web resources and interactive tools.

GenScale is a bioinformatics research team. Its main goal is to develop scalable methods, tools, and software forprocessing 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, …