Datamonkey 2010: a suite of phylogenetic analysis tools for evolutionary biology

被引：999

作者：

Delport, Wayne ^{[2
]}

Poon, Art F. Y. ^{[3
]}

Frost, Simon D. W. ^{[4
]}

Pond, Sergei L. Kosakovsky ^{[1
]}

机构：

[1] Univ Calif San Diego, Dept Med, Antiviral Res Ctr, San Diego, CA 92103 USA

[2] Univ Calif San Diego, Dept Pathol, Antiviral Res Ctr, San Diego, CA 92103 USA

[3] British Columbia Ctr Excellence HIV AIDS, Vancouver, BC, Canada

[4] Univ Cambridge, Dept Vet Med, Cambridge, England

来源：

BIOINFORMATICS | 2010年 / 26卷 / 19期

基金：

加拿大健康研究院; 美国国家卫生研究院;

关键词：

AMINO-ACID SITES; GENETIC ALGORITHM; INFERENCE; SELECTION; MODELS;

D O I：

10.1093/bioinformatics/btq429

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Datamonkey is a popular web-based suite of phylogenetic analysis tools for use in evolutionary biology. Since the original release in 2005, we have expanded the analysis options to include recently developed algorithmic methods for recombination detection, evolutionary fingerprinting of genes, codon model selection, co-evolution between sites, identification of sites, which rapidly escape host-immune pressure and HIV-1 subtype assignment. The traditional selection tools have also been augmented to include recent developments in the field. Here, we summarize the analyses options currently available on Datamonkey, and provide guidelines for their use in evolutionary biology.

引用

页码：2455 / 2457

页数：3

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