Likelihood-based clustering (LiBaC) for codon models, a method for grouping sites according to similarities in the underlying process of evolution

Le Bao; Hong Gu; Katherine A. Dunn; Joseph P. Bielawski

doi:10.1093/molbev/msn145

Likelihood-based clustering (LiBaC) for codon models, a method for grouping sites according to similarities in the underlying process of evolution

Le Bao, Hong Gu, Katherine A. Dunn, Joseph P. Bielawski

Mathematics

Research output: Contribution to journal › Article › peer-review

14 Citations (Scopus)

Original language	English
Pages (from-to)	1995-2007
Number of pages	13
Journal	Molecular Biology and Evolution
Volume	25
Issue number	9
DOIs	https://doi.org/10.1093/molbev/msn145
Publication status	Published - Sept 2008

ASJC Scopus Subject Areas

Genetics
Ecology, Evolution, Behavior and Systematics
Molecular Biology

Keywords

Bayes error rate
Codon model
Likelihood-based clustering
Nonsynonymous/synonymous rate ratio
Positive Darwinian selection

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10.1093/molbev/msn145

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Bao, L., Gu, H., Dunn, K. A., & Bielawski, J. P. (2008). Likelihood-based clustering (LiBaC) for codon models, a method for grouping sites according to similarities in the underlying process of evolution. Molecular Biology and Evolution, 25(9), 1995-2007. https://doi.org/10.1093/molbev/msn145

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AU - Gu, Hong

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AU - Bielawski, Joseph P.

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KW - Codon model

KW - Likelihood-based clustering

KW - Nonsynonymous/synonymous rate ratio

KW - Positive Darwinian selection

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Likelihood-based clustering (LiBaC) for codon models, a method for grouping sites according to similarities in the underlying process of evolution

ASJC Scopus Subject Areas

Keywords

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