Phylogenetic Inference Using RevBayes.

Phylogenetic Inference Using RevBayes. Curr Protoc Bioinformatics. 2017 May 02;57:6.16.1-6.16.34 Authors: Höhna S, Landis MJ, Heath TA Abstract Bayesian phylogenetic inference aims to estimate the evolutionary relationships among different lineages (species, populations, gene families, viral strains, etc.) in a model-based statistical framework that uses the likelihood function for parameter estimates. In recent years, evolutionary models for Bayesian analysis have grown in number and complexity. RevBayes uses a probabilistic-graphical model framework and an interactive scripting language for model specification to accommodate and exploit model diversity and complexity within a single software package. In this unit we describe how to specify standard phylogenetic models and perform Bayesian phylogenetic analyses in RevBayes. The protocols focus on the basic analysis of inferring a phylogeny from single and multiple loci, describe a hypothesis-testing approach, and point to advanced topics. Thus, this unit is a starting point to illustrate the power and potential of Bayesian inference under complex phylogenetic models in RevBayes. © 2017 by John Wiley & Sons, Inc. PMID: 28463399 [PubMed - in process]
Source: Current Protocols in Bioinformatics - Category: Bioinformatics Tags: Curr Protoc Bioinformatics Source Type: research