Back to search

Article

Assessing the Performance of qpAdm: A Statistical Tool for Studying Population Admixture

2020-04-10

Abstract excerpt

<h4>ABSTRACT</h4> qpAdm is a statistical tool for studying the ancestry of populations with histories that involve admixture between two or more source populations. Using qpAdm, it is possible to identify plausible models of admixture that fit the population history of a group of interest and to calculate the relative proportion of ancestry that can be ascribed to each source population in the model. Although qpA...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
3a9ae193-9c0a-5b47-8257-57090236a7aa
DOI
10.1101/2020.04.09.032664
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Assessing the Performance of qpAdm: A Statistical Tool for Studying Population AdmixtureDOI 10.1101/2020.04.09.032664
Simulation-based Benchmarking of Ancient Haplotype Inference for Detecting Population StructureSemantic proximity
Testing times: disentangling admixture histories in recent and complex demographies using ancient DNA.Semantic proximity
Legofit: Estimating Population History from Genetic DataSemantic proximity
BADGER: evaluating the performance of ancient DNA genetic relatedness estimation methods using high-fidelity pedigree simulationsSemantic proximity
Testing Times: Challenges in Disentangling Admixture Histories in Recent and Complex DemographiesSemantic proximity
LINADMIX: evaluating the effect of ancient admixture events on modern populations.Semantic proximity
Estimating allele frequencies, ancestry proportions and genotype likelihoods in the presence of mapping bias.Semantic proximity
Complex genetic admixture histories reconstructed with Approximate Bayesian ComputationsSemantic proximity
Powerful Inference with the D-statistic on Low-Coverage Whole-Genome DataSemantic proximity
Admixture and Ancestry Inference from Ancient and Modern Samples through Measures of Population Genetic Drift.Semantic proximity
AdmixSim: A Forward-Time Simulator for Various and Complex Scenarios of Population AdmixtureSemantic proximity
Efficient analysis of large datasets and sex bias with ADMIXTURESemantic proximity
Select a neighboring publication to make it the new centre.