Fine-Resolution Asymmetric Migration Estimation.
Ontology highlight
ABSTRACT: The genetic structure of populations is often shaped by processes and events that introduce asymmetries to gene flow between geographic locations. Existing population genetic methods like EEMS and FEEMS summarize gene flow using effective equilibrium migration rates that are assumed to be symmetric, providing representations of underlying structure that have proven useful, but that fail short of representing signatures of aysmmetric gene flow. More elaborate methods capable of inferring asymmetric gene flow exist, but are computationally intensive, restricting analyses to small sets of sub-populations (demes). Here, we introduce FRAME (Fine-Resolution Asymmetric Migration Estimation), a method that significantly reduces the computational burden of estimating asymmetric gene flow. This effi
SUBMITTER: Shen H
PROVIDER: S-EPMC12154593 | biostudies-literature | 2025 May
REPOSITORIES: biostudies-literature
ACCESS DATA