STEM: species tree estimation using maximum likelihood for gene trees under coalescence

被引：339

作者：

Kubatko, Laura S. ^{[1
,2
]}

Carstens, Bryan C. ^{[3
]}

Knowles, L. Lacey ^{[4
]}

机构：

[1] Ohio State Univ, Dept Stat, Columbus, OH 43210 USA

[2] Ohio State Univ, Dept Ecol Evolut & Organismal Biol, Columbus, OH 43210 USA

[3] Louisiana State Univ, Dept Biol Sci, Baton Rouge, LA 70803 USA

[4] Univ Michigan, Dept Ecol & Evolutionary Biol, Ann Arbor, MI 48109 USA

来源：

BIOINFORMATICS | 2009年 / 25卷 / 07期

关键词：

ANCESTRAL POPULATION SIZES; BAYESIAN-ESTIMATION; MULTIPLE LOCI; DISTRIBUTIONS; PHYLOGENY; HOMINOIDS; EVOLUTION;

D O I：

10.1093/bioinformatics/btp079

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

STEM is a software package written in the C language to obtain maximum likelihood (ML) estimates for phylogenetic species trees given a sample of gene trees under the coalescent model. It includes options to compute the ML species tree, search the space of all species trees for the k trees of highest likelihood and compute ML branch lengths for a user-input species tree.

引用

页码：971 / 973

页数：3

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