MultiWaver 2.0: modeling discrete and continuous gene flow to reconstruct complex population admixtures.

ABSTRACT: Our goal in developing the MultiWaver software series was to be able to infer population admixture history under various complex scenarios. The earlier version of MultiWaver considered only discrete admixture models. Here, we report a newly developed version, MultiWaver 2.0, that implements a more flexible framework and is capable of inferring multiple-wave admixture histories under both discrete and continuous admixture models. MultiWaver 2.0 can automatically select an optimal admixture model based on the length distribution of ancestral tracks of chromosomes, and the program can estimate the corresponding parameters under the selected model. Specifically, for discrete admixture models, we used a likelihood ratio test (LRT) to determine the optimal discrete model and an expectation-maxim

SUBMITTER: Ni X 

PROVIDER: S-EPMC6303267 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature