Bayesian Analysis of Evolutionary Divergence with Genomic Data under Diverse Demographic Models.

ABSTRACT: We present a new Bayesian method for estimating demographic and phylogenetic history using population genomic data. Several key innovations are introduced that allow the study of diverse models within an Isolation-with-Migration framework. The new method implements a 2-step analysis, with an initial Markov chain Monte Carlo (MCMC) phase that samples simple coalescent trees, followed by the calculation of the joint posterior density for the parameters of a demographic model. In step 1, the MCMC sampling phase, the method uses a reduced state space, consisting of coalescent trees without migration paths, and a simple importance sampling distribution without the demography of interest. Once obtained, a single sample of trees can be used in step 2 to calculate the joint posterior density for m

SUBMITTER: Chung Y 

PROVIDER: S-EPMC5850342 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature