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Méthodes et Algorithmes pour la Bioinformatique (MAB)
Laboratoire d'Informatique Robotique et Microélectronique de Montpellier (LIRMM)
161 rue Ada
34095 Montpellier Cedex 5 - France

b r e h e l i n @ l i r m m . f r
tel: +33 467 41 86 71
fax: +33 467 41 85 02

I am a CNRS researcher at LIRMM. My main research interest is the development of new statistical and machine learning methods for functional genomics. More specifically, I work on gene expression data and protein domains to help functional annotation of genomes, with a particular focus on human pathogens, and most notably Plasmodium falciparum (malaria).

Since January 2011, I am the principal investigator of the PlasmoExpress project that aims to develop new methods for the analysis of transcriptional regulation in Plasmodium falciparum.

Databases and software

  • EuPathDomains is an extended database of protein domains in several eukaryotic pathogens (Ghouila et al. 2010). The EuPathDomains database gathers known Interpro domains occurrences and new Pfam domain occurrences found by the CODD procedure, which improves domain detection sensitivity by exploiting co-occurrence properties (Terrapon et al. 2009).
  • PlasmoDraft is a database of Gene Ontology (GO) annotation predictions for the genes of Plasmodium falciparum (Bréhélin et al. 2009). Predictions of PlasmoDraft have been produced by a Guilt By Association Approach applied on transcriptome, proteome, and interactome data, and are thus complementary to predictions achieved by sequence homology.
  • is an R package that evaluates the stability of clusters derived from a hierarchical clustering of gene expression data when repeated measurements are available (Bréhélin et al. 2008).

PhD students and postdoctoral fellows