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

Estimating inbreeding coefficients from NGS data: Impact on genotype calling and allele frequency estimation.

Genome research - 1 Nov 2013

Vieira Filipe G, Fumagalli Matteo, Albrechtsen Anders, Nielsen Rasmus

Abstract excerpt

Most methods for next-generation sequencing (NGS) data analyses incorporate information regarding allele frequencies using the assumption of Hardy-Weinberg equilibrium (HWE) as a prior. However, many organisms including those that are domesticated, partially selfing, or with asexual life cycles show strong deviations from HWE. For such species, and specially for low-coverage data, it is necessary to obtain...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Computer Simulation
Share to Gene Frequency

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetics, Population

Share to Genotype

Share to High-Throughput Nucleotide Sequencing

Share to Inbreeding

Source

Open in PubMed Open full text

Identifiers

PMID: 23950147
DOI: 10.1101/gr.157388.113
PMCID: PMC3814885

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

Estimating inbreeding coefficients from NGS data: Impact on genotype calling and allele frequency estimation.PMID 23950147Read ↗

Genotype-Frequency Estimation from High-Throughput Sequencing Data.Semantic proximity Read ↗

A beginner's guide to low-coverage whole genome sequencing for population genomics.Semantic proximity Read ↗

Detectability of runs of homozygosity is influenced by analysis parameters and population-specific demographic history.Semantic proximity Read ↗

Resequencing studies of nonmodel organisms using closely related reference genomes: optimal experimental designs and bioinformatics approaches for population genomics.Semantic proximity Read ↗

Estimating IBD tracts from low coverage NGS data.Semantic proximity Read ↗

Inbreeding coefficient estimation with dense SNP data: comparison of strategies and application to HapMap III.Semantic proximity Read ↗

ngsTools: methods for population genetics analyses from next-generation sequencing data.Semantic proximity Read ↗

Assessing the effect of sequencing depth and sample size in population genetics inferences.Semantic proximity Read ↗

The next generation of molecular markers from massively parallel sequencing of pooled DNA samples.Semantic proximity Read ↗

A whole-genome-based approach for estimation and characterization of individual inbreedingSemantic proximity Read ↗

Estimation of site frequency spectra from low-coverage sequencing data using stochastic EM reduces overfitting, runtime, and memory usage.Semantic proximity Read ↗

NGSremix: a software tool for estimating pairwise relatedness between admixed individuals from next-generation sequencing data.Semantic proximity Read ↗

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