Ontology highlight
ABSTRACT: Background
Our current understanding of archaic admixture in humans relies on statistical methods with large biases, whose magnitudes depend on the sizes and separation times of ancestral populations. To avoid these biases, it is necessary to estimate these parameters simultaneously with those describing admixture. Genetic estimates of population histories also confront problems of statistical identifiability: different models or different combinations of parameter values may fit the data equally well. To deal with this problem, we need methods of model selection and model averaging, which are lacking from most existing software.Results
The Legofit software package allows simultaneous estimation of parameters describing admixture, and the sizes and separation times of ances
SUBMITTER: Rogers AR
PROVIDER: S-EPMC6819480 | biostudies-literature | 2019 Oct
REPOSITORIES: biostudies-literature