Uniformization for sampling realizations of Markov processes: applications to Bayesian implementations of codon substitution models | Zendy

Nicolas Rodrigue | Zendy; Hervé Philippe | Zendy; Nicolas Lartillot | Zendy

Open Access

Uniformization for sampling realizations of Markov processes: applications to Bayesian implementations of codon substitution models

Author(s) -

Nicolas Rodrigue,

Hervé Philippe,

Nicolas Lartillot

Publication year - 2007

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btm532

Subject(s) - computer science , markov chain monte carlo , uniformization (probability theory) , substitution (logic) , tree (set theory) , bayesian probability , algorithm , probabilistic logic , theoretical computer science , pruning , range (aeronautics) , markov chain , markov model , mathematics , artificial intelligence , variable order markov model , machine learning , combinatorics , programming language , materials science , composite material , agronomy , biology

Mapping character state changes over phylogenetic trees is central to the study of evolution. However, current probabilistic methods for generating such mappings are ill-suited to certain types of evolutionary models, in particular, the widely used models of codon substitution.

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