Work

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

Year: 2009

Type: article

Abstract: UNLABELLED: 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. AVAILABILITY: The STEM package, including source code, is freely available at http://www.stat.osu.edu/~lkubatko/software/STEM/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Source: Bioinformatics

DOI: 10.1093/bioinformatics/btp079

Authors: Laura S. Kubatko, Bryan C. Carstens, L. Lacey Knowles

Institutions: Louisiana State University, University of Michigan, The Ohio State University

Language: English

Topic: Genomics and Phylogenetic Studies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: bronze

Funders: National Science Foundation, Division of Environmental Biology

OpenAlex ID: W2114227052