Work

BEST: Bayesian estimation of species trees under the coalescent model

Year: 2008

Type: article

Abstract: UNLABELLED: BEST implements a Bayesian hierarchical model to jointly estimate gene trees and the species tree from multilocus sequences. It provides a new option for estimating species phylogenies within the popular Bayesian phylogenetic program MrBayes. The technique of simulated annealing is adopted along with Metropolis coupling as performed in MrBayes to improve the convergence rate of the Markov Chain Monte Carlo algorithm. AVAILABILITY: http://www.stat.osu.edu/~dkp/BEST.

Source: Bioinformatics

DOI: 10.1093/bioinformatics/btn484

Author: Liang Liu

Institution: Harvard University

Language: English

Topic: Genomics and Phylogenetic Studies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: bronze

Funder: National Science Foundation

Award: COLLABORATIVE RESEARCH: Estimating Species Trees from Multilocus DNA Sequence Data