Hidden Markov models applied to a subsequence of the Xylella fastidiosa genome
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 h...
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| Format: | Article |
| Language: | English |
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Sociedade Brasileira de Genética
2003-01-01
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| Series: | Genetics and Molecular Biology |
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| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572003000400018 |