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• W2069084739 abstract "Summary The traditional approach to phylogenetic inference assumes that a single phylogenetic tree can represent the relationships and divergence between the taxa. However, taxa sequences exhibit varying levels of conservation, e.g. because of regulatory elements and active binding sites. Also, certain bacteria and viruses undergo interspecific recombination, where different strains exchange or transfer DNA subsequences, leading to a tree topology change. We propose a phylogenetic factorial hidden Markov model to detect recombination and rate variation simultaneously. This is applied to two DNA sequence alignments: one bacterial (Neisseria) and another of type 1 human immunodeficiency virus. Inference is carried out in the Bayesian framework, using reversible jump Markov chain Monte Carlo sampling." @default.
• W2069084739 created "2016-06-24" @default.
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• W2069084739 date "2009-01-22" @default.
• W2069084739 modified "2023-10-14" @default.
• W2069084739 title "Segmenting bacterial and viral DNA sequence alignments with a trans-dimensional phylogenetic factorial hidden Markov model" @default.
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• W2069084739 doi "https://doi.org/10.1111/j.1467-9876.2008.00648.x" @default.
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