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Une approche phylo-HMM pour la recherche de séquences

Jean-Baka Domelevo Entfellner 1, * Olivier Gascuel 2
* Corresponding author
2 MAB - Méthodes et Algorithmes pour la Bioinformatique
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : We introduce a new type of phylogenetic Hidden Markov Model, combining the strength of usual HMM and the knowledge of the phylogeny of a family of sequences.We use such models to look into the genome of a target species for members of the sequence family. Our results on some 690 protein families show a better sensitivity and a better specificity when compared to standard profile HMM or Blast searchs.
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Contributor : Jean-Baka Domelevo Entfellner <>
Submitted on : Thursday, September 25, 2008 - 9:47:12 AM
Last modification on : Thursday, May 24, 2018 - 3:59:22 PM
Long-term archiving on: : Thursday, June 3, 2010 - 7:49:23 PM


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  • HAL Id : lirmm-00324451, version 1



Jean-Baka Domelevo Entfellner, Olivier Gascuel. Une approche phylo-HMM pour la recherche de séquences. JOBIM'08 : Journées Ouvertes Biologie, Informatique, Mathématiques, Jun 2008, Lille, France, pp.133-139. ⟨lirmm-00324451⟩



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