Hidden Markov models applied to a subsequence of the Xylella fastidiosa genome

Detalhes bibliográficos
Autor(a) principal: Silva,Cibele Q. da
Data de Publicação: 2003
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Genetics and Molecular Biology
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572003000400018
Resumo: Dependencies in DNA sequences are frequently modeled using Markov models. However, Markov chains cannot account for heterogeneity that may be present in different regions of the same DNA sequence. Hidden Markov models are more realistic than Markov models since they allow for the identification of heterogeneous regions of a DNA sequence. In this study we present an application of hidden Markov models to a subsequence of the Xylella fastidiosa DNA data. We found that a three-state model provides a good description for the data considered.
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spelling Hidden Markov models applied to a subsequence of the Xylella fastidiosa genomeDNAXylella fastidiosahidden Markov modelsDependencies in DNA sequences are frequently modeled using Markov models. However, Markov chains cannot account for heterogeneity that may be present in different regions of the same DNA sequence. Hidden Markov models are more realistic than Markov models since they allow for the identification of heterogeneous regions of a DNA sequence. In this study we present an application of hidden Markov models to a subsequence of the Xylella fastidiosa DNA data. We found that a three-state model provides a good description for the data considered.Sociedade Brasileira de Genética2003-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572003000400018Genetics and Molecular Biology v.26 n.4 2003reponame:Genetics and Molecular Biologyinstname:Sociedade Brasileira de Genética (SBG)instacron:SBG10.1590/S1415-47572003000400018info:eu-repo/semantics/openAccessSilva,Cibele Q. daeng2004-04-06T00:00:00Zoai:scielo:S1415-47572003000400018Revistahttp://www.gmb.org.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||editor@gmb.org.br1678-46851415-4757opendoar:2004-04-06T00:00Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG)false
dc.title.none.fl_str_mv Hidden Markov models applied to a subsequence of the Xylella fastidiosa genome
title Hidden Markov models applied to a subsequence of the Xylella fastidiosa genome
spellingShingle Hidden Markov models applied to a subsequence of the Xylella fastidiosa genome
Silva,Cibele Q. da
DNA
Xylella fastidiosa
hidden Markov models
title_short Hidden Markov models applied to a subsequence of the Xylella fastidiosa genome
title_full Hidden Markov models applied to a subsequence of the Xylella fastidiosa genome
title_fullStr Hidden Markov models applied to a subsequence of the Xylella fastidiosa genome
title_full_unstemmed Hidden Markov models applied to a subsequence of the Xylella fastidiosa genome
title_sort Hidden Markov models applied to a subsequence of the Xylella fastidiosa genome
author Silva,Cibele Q. da
author_facet Silva,Cibele Q. da
author_role author
dc.contributor.author.fl_str_mv Silva,Cibele Q. da
dc.subject.por.fl_str_mv DNA
Xylella fastidiosa
hidden Markov models
topic DNA
Xylella fastidiosa
hidden Markov models
description Dependencies in DNA sequences are frequently modeled using Markov models. However, Markov chains cannot account for heterogeneity that may be present in different regions of the same DNA sequence. Hidden Markov models are more realistic than Markov models since they allow for the identification of heterogeneous regions of a DNA sequence. In this study we present an application of hidden Markov models to a subsequence of the Xylella fastidiosa DNA data. We found that a three-state model provides a good description for the data considered.
publishDate 2003
dc.date.none.fl_str_mv 2003-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572003000400018
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572003000400018
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1415-47572003000400018
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Genética
publisher.none.fl_str_mv Sociedade Brasileira de Genética
dc.source.none.fl_str_mv Genetics and Molecular Biology v.26 n.4 2003
reponame:Genetics and Molecular Biology
instname:Sociedade Brasileira de Genética (SBG)
instacron:SBG
instname_str Sociedade Brasileira de Genética (SBG)
instacron_str SBG
institution SBG
reponame_str Genetics and Molecular Biology
collection Genetics and Molecular Biology
repository.name.fl_str_mv Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG)
repository.mail.fl_str_mv ||editor@gmb.org.br
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