Phycas: software for Bayesian phylogenetic analysis.
Phycas is open source, freely available Bayesian phylogenetics software written primarily in C++ but with a Python interface. Phycas specializes in Bayesian model selection for nucleotide sequence data, particularly the estimation of marginal likelihoods, central to computing Bayes Factors. Marginal likelihoods can be estimated using newer methods (Thermodynamic Integration and Generalized Steppingstone) that are more accurate than the widely used Harmonic Mean estimator. In addition, Phycas supports two posterior predictive approaches to model selection: Gelfand-Ghosh and Conditional Predictive Ordinates. The General Time Reversible family of substitution models, as well as a codon model, are available, and data can be partitioned with all parameters unlinked except tree topology and edge lengths. Phycas provides for analyses in which the prior on tree topologies allows polytomous trees as well as fully resolved trees, and provides for several choices for edge length priors, including a hierarchical model as well as the recently described compound Dirichlet prior, which helps avoid overly informative induced priors on tree length.
['Lewis|Paul O|PO|', 'Holder|Mark T|MT|', 'Swofford|David L|DL|']
D000465:Algorithms D001499:Bayes Theorem D000460:Chlorophyta D002965:Classification D010802:Phylogeny D012984:Software
Bayesian phylogenetics marginal likelihood Bayes Factor conditional predictive ordinates data partitioning posterior predictive model selection steppingstone method