Since 2015, I head of the Master of Sciences and Digital Technology for healthcare Specialty Bioinformatics, Knowledge, Data (Master Sciences et Numérique pour la Santé (SNS), Parcours Bioinformatique, Connaissance et Données (BCD), sns.edu.umontpellier.fr

  • M2 Bioinformatics / Statistics
    • [HMSN305] Omics – Head: Anna-Sophie Fiston-Lavier. Keywords: Sequencing (NGS), Genomics, Transcriptomics, Proteomics, MetaGenomics.
  • M2 Medical Biology
    • [HMBS307] (TC3) Bioinformatics and System Biology – Heads: Ovidiu Radulescu, Alain Chavanieu and Stefano Trapani. Keywords: Bioinformatics, Genomics, Transciptomics, Proteomics, Statistics, Medical diagnostics.
  • M1 Computer sciences
    • [HMIN114] Algorithms and Programming – Heads: Anne-Muriel Chifolleau and Alban Mancheron. Keywords: Unix, Emacs.
    • [HMIN113M] System – Heads: Pierre Pompidor. Keywords: Bash, Python, Web.
  • L3 Biology
    • [HLBE605] Evolutionary Biology – Head: Benoit Nabholz. Keywords: Genetics, molecular biology, genome evolution, selection, transposable elements, sequencing technologies.
  • L2 Biology / Computer sciences
    • [HLIN404] Bioinformatics for biologists – Head: Anna-Sophie Fiston-Lavier. Keywords: System, Sequence analysis, Database, Python, BioPython, Phylogeny.
  • L1 Computer sciences / PolyTech
    • [HLIN101] Algorithms, Programming and System Head: Philippe Janssen. Keywords: Unix, Emacs, C/C++.

Head of the Bioinformatics Learning Laboratory (BILL) with Anne-Sophie Gosselin-Grenet, Jean-Christophe Avarre and Mélanie Debias.

Capture d’écran 2020-03-05 à 00.03.37

Emmanuelle Lerat (LBBE – CNRS Université Lyon 1), Anna-Sophie Fiston-Lavier (ISEM – Université de Montpellier), Florian Maumus (URGI – INRAe Versailles), François Sabot (DIADE – IRD Montpellier)
  1. Define and explain good practices in bioinformatics analysis of TEs
  2. TE annotation in assembled and unassembled genomes
  3. Identification of the polymorphism of insertions between individuals/populations and a reference genome.
  4. Transcriptomic and epigenetic analyses of genes and TEs
  5. Evolutionary analyses of TEs

Some computer science tips: