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

被引：336
|
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
收藏
页码：971 / 973
页数：3
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