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- W2000651011 abstract "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." @default.
- W2000651011 created "2016-06-24" @default.
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- W2000651011 date "2003-12-01" @default.
- W2000651011 modified "2023-09-27" @default.
- W2000651011 title "Hidden Markov models applied to a subsequence of the Xylella fastidiosa genome" @default.
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- W2000651011 doi "https://doi.org/10.1590/s1415-47572003000400018" @default.
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