Advancing admixture graph estimation via maximum likelihood network orientation.

ABSTRACT:

Motivation

Admixture, the interbreeding between previously distinct populations, is a pervasive force in evolution. The evolutionary history of populations in the presence of admixture can be modeled by augmenting phylogenetic trees with additional nodes that represent admixture events. While enabling a more faithful representation of evolutionary history, admixture graphs present formidable inferential challenges, and there is an increasing need for methods that are accurate, fully automated and computationally efficient. One key challenge arises from the size of the space of admixture graphs. Given that exhaustively evaluating all admixture graphs can be prohibitively expensive, heuristics have been developed to enable efficient search over this space. One heuristic, implemented

SUBMITTER: Molloy EK 

PROVIDER: S-EPMC8336447 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature