Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

A Beta-mixture model for assessing genetic population structure.

Biometrics - 1 Sept 2011

Fu Rongwei, Dey Dipak K, Holsinger Kent E

Abstract excerpt

An important fraction of recently generated molecular data is dominant markers. They contain substantial information about genetic variation but dominance makes it impossible to apply standard techniques to calculate measures of genetic differentiation, such as F-statistics. In this article, we propose a new Bayesian beta-mixture model that more accurately describes the genetic structure from dominant markers and...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Algorithms
Share to Biometry
Share to Genes, Dominant

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Markers

Share to Genetic Structures

Share to Genetics, Population

Share to Inbreeding

Share to Plants

Source

Identifiers

PMID: 21114661
DOI: 10.1111/j.1541-0420.2010.01506.x

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A Beta-mixture model for assessing genetic population structure.PMID 21114661Read ↗

Bayesian models for the analysis of genetic structure when populations are correlated.Semantic proximity Read ↗

Guidelines for standardizing the application of discriminant analysis of principal components to genotype data.Semantic proximity Read ↗

Tree-guided Bayesian inference of population structures.Semantic proximity Read ↗

Inference of population splits and mixtures from genome-wide allele frequency data.Semantic proximity Read ↗

Constructing a linkage-linkage disequilibrium map using dominant-segregating markers.Semantic proximity Read ↗

Bayesian approaches for the analysis of population genetic structure: an example from Platanthera leucophaea (Orchidaceae).Semantic proximity Read ↗

Multilocus methods for estimating population sizes, migration rates and divergence time, with applications to the divergence of Drosophila pseudoobscura and D. persimilis.Semantic proximity Read ↗

Model-based genotype and ancestry estimation for potential hybrids with mixed-ploidy.Semantic proximity Read ↗

Estimation of multilocus linkage disequilibria in diploid populations with dominant markers.Semantic proximity Read ↗

Estimating population structure from AFLP amplification intensity.Semantic proximity Read ↗

Population admixtures in medaka inferred by multiple arbitrary amplicon sequencing.Semantic proximity Read ↗

Analyzing Autopolyploid Genetic Data Using GenoDive.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.