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

Genetics and Molecular Biology

Cibele Q. Da Silva¹ 

[1] ,Universidade Federal de Minas Gerais Departmento de Estatística Belo Horizonte MG ,Brazil

关键词: DNA;    Xylella fastidiosa;    hidden Markov models;   

DOI  :  10.1590/S1415-47572003000400018

来源: SciELO

【 摘 要 】

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.

【 授权许可】

CC BY   
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