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 vision of how low-coverage sequence data should contribute to genetic evaluation in the future.

Journal of animal science - 4 Jan 2025

Thallman Richard Mark, Borgert Jacqueline E, Engle Bailey N, Keele John W, Snelling Warren M, Gondro Cedric, Kuehn Larry A

Abstract excerpt

Low-coverage sequencing refers to sequencing DNA of individuals to a low depth of coverage (e.g., 0.5X) and imputing that sequence to a genomic sequence based on reference haplotypes from individuals sequenced to a high depth of coverage (e.g., ≥10X). It has been proposed as an alternative to genotyping by Single-nucleotide polymorphisms (SNP) arrays. At least one commercial product based on it is available for...

Read the complete abstract on PubMed

Topics

Animals
Sequence Analysis, DNA
Polymorphism, Single Nucleotide
Haplotypes
Genomics

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Source

Open in PubMed Open full text

Identifiers

PMID: 40923439
DOI: 10.1093/jas/skaf294
PMCID: PMC12559786

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 23 Oct 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A vision of how low-coverage sequence data should contribute to genetic evaluation in the future.PMID 40923439Read ↗

Pan-genomics and multi-omics for deciphering genetic variation and accelerating genetic improvement in ruminant livestock.Semantic proximity Read ↗

Coverage recommendation for genotyping analysis of highly heterologous species using next-generation sequencing technology.Semantic proximity Read ↗

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

Best practices for genotype imputation from low-coverage sequencing data in natural populations.Semantic proximity Read ↗

Pangenome construction from short-read sequences: benchmarking for population and conservation genomicsSemantic proximity Read ↗

<i>In-situ</i> genomic prediction using low-coverage Nanopore sequencingSemantic proximity Read ↗

Low-coverage sequencing: implications for design of complex trait association studies.Semantic proximity Read ↗

The impact of sequencing depth and DP filtering on genotyping accuracy of SNP based on next-generation sequencing.Semantic proximity Read ↗

Sequencing smart: <i>De novo</i> sequencing and assembly approaches for non-model mammalsSemantic proximity Read ↗

Whole-genome sequencing approaches for conservation biology: Advantages, limitations and practical recommendations.Semantic proximity Read ↗

Genomic prediction using low-coverage portable Nanopore sequencing.Semantic proximity Read ↗

Efficient phasing and imputation of low-coverage sequencing data using large reference panelsSemantic proximity Read ↗

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