Intragenomic reiterations detection using hidden Markov models
Identifieur interne : 005640 ( Hal/Checkpoint ); précédent : 005639; suivant : 005641Intragenomic reiterations detection using hidden Markov models
Auteurs : Sébastien Hergalant [France] ; Bertrand Aigle ; Bernard Decaris ; Pierre Leblond ; Jean-François Mari [France]Source :
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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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Hal:inria-00100914Le document en format XML
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<front><div type="abstract" xml:lang="en">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.</div>
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<author role="aut"><persName><forename type="first">Jean-François</forename>
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