Hidden Markov Models and their Applications in Biological Sequence Analysis

Hidden Markov models (HMMs) have been extensively used in biological sequence analysis. In this paper, we give a tutorial review of HMMs and their applications in a variety of problems in molecular biology. We especially focus on three types of HMMs: the profile-HMMs, pair-HMMs, and context-sensitiv...

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Detalles Bibliográficos
Autor principal: Yoon, Byung-Jun
Formato: Texto
Lenguaje:English
Publicado: Bentham Science Publishers Ltd. 2009
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2766791/
https://www.ncbi.nlm.nih.gov/pubmed/20190955
http://dx.doi.org/10.2174/138920209789177575
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author Yoon, Byung-Jun
author_facet Yoon, Byung-Jun
author_sort Yoon, Byung-Jun
collection PubMed
description Hidden Markov models (HMMs) have been extensively used in biological sequence analysis. In this paper, we give a tutorial review of HMMs and their applications in a variety of problems in molecular biology. We especially focus on three types of HMMs: the profile-HMMs, pair-HMMs, and context-sensitive HMMs. We show how these HMMs can be used to solve various sequence analysis problems, such as pairwise and multiple sequence alignments, gene annotation, classification, similarity search, and many others.
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spelling pubmed-27667912010-03-01 Hidden Markov Models and their Applications in Biological Sequence Analysis Yoon, Byung-Jun Curr Genomics Article Hidden Markov models (HMMs) have been extensively used in biological sequence analysis. In this paper, we give a tutorial review of HMMs and their applications in a variety of problems in molecular biology. We especially focus on three types of HMMs: the profile-HMMs, pair-HMMs, and context-sensitive HMMs. We show how these HMMs can be used to solve various sequence analysis problems, such as pairwise and multiple sequence alignments, gene annotation, classification, similarity search, and many others. Bentham Science Publishers Ltd. 2009-09 /pmc/articles/PMC2766791/ /pubmed/20190955 http://dx.doi.org/10.2174/138920209789177575 Text en ©2009 Bentham Science Publishers Ltd. http://creativecommons.org/licenses/by/2.5/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.5/), which permits unrestrictive use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Article
Yoon, Byung-Jun
Hidden Markov Models and their Applications in Biological Sequence Analysis
title Hidden Markov Models and their Applications in Biological Sequence Analysis
title_full Hidden Markov Models and their Applications in Biological Sequence Analysis
title_fullStr Hidden Markov Models and their Applications in Biological Sequence Analysis
title_full_unstemmed Hidden Markov Models and their Applications in Biological Sequence Analysis
title_short Hidden Markov Models and their Applications in Biological Sequence Analysis
title_sort hidden markov models and their applications in biological sequence analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2766791/
https://www.ncbi.nlm.nih.gov/pubmed/20190955
http://dx.doi.org/10.2174/138920209789177575
work_keys_str_mv AT yoonbyungjun hiddenmarkovmodelsandtheirapplicationsinbiologicalsequenceanalysis

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