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Intragenomic reiterations detection using hidden Markov models

Sébastien Hergalant 1 Bertrand Aigle Bernard Decaris Pierre Leblond Jean-François Mari 1 
1 ORPAILLEUR - Knowledge representation, reasonning
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : We present a genomic data mining method in which the user describes a signal worked out by a second order HMM. This signal representing the probability to classify a nucleotidic residue or a group of residues in a particular state, allows the localization of repetitions in a complete bacterial genomic sequence.
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Submitted on : Tuesday, September 26, 2006 - 2:52:52 PM
Last modification on : Saturday, March 12, 2022 - 3:09:13 AM


  • HAL Id : inria-00100914, version 1



Sébastien Hergalant, Bertrand Aigle, Bernard Decaris, Pierre Leblond, Jean-François Mari. Intragenomic reiterations detection using hidden Markov models. 10th International Conference on Intelligent Systems for Molecular Biology - ISMB 2002, Aug 2002, Edmonton, Canada, 1 p. ⟨inria-00100914⟩



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