4.7 Article

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

期刊

BIOINFORMATICS
卷 25, 期 7, 页码 971-973

出版社

OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btp079

关键词

-

资金

  1. NSF [DMS-07-02277, DEB-04-47224]

向作者/读者索取更多资源

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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据