StarBeast3: Adaptive Parallelized Bayesian Inference under the Multispecies Coalescent.

ABSTRACT: As genomic sequence data become increasingly available, inferring the phylogeny of the species as that of concatenated genomic data can be enticing. However, this approach makes for a biased estimator of branch lengths and substitution rates and an inconsistent estimator of tree topology. Bayesian multispecies coalescent (MSC) methods address these issues. This is achieved by constraining a set of gene trees within a species tree and jointly inferring both under a Bayesian framework. However, this approach comes at the cost of increased computational demand. Here, we introduce StarBeast3-a software package for efficient Bayesian inference under the MSC model via Markov chain Monte Carlo. We gain efficiency by introducing cutting-edge proposal kernels and adaptive operators, and StarBeast3

SUBMITTER: Douglas J 

PROVIDER: S-EPMC9248896 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature