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

Optimization of BSA-seq experiment for QTL mapping.

G3 (Bethesda, Md.) - 4 Jan 2022

Huang Likun, Tang Weiqi, Wu Weiren

Abstract excerpt

Deep sequencing-based bulked segregant analysis (BSA-seq) has become a popular approach for quantitative trait loci (QTL) mapping in recent years. Effective statistical methods for BSA-seq have been developed, but how to design a suitable experiment for BSA-seq remains unclear. In this paper, we show in theory how the major experimental factors (including population size, pool proportion, pool balance, and...

Read the complete abstract on PubMed

Topics

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

Share to Chromosome Mapping
Share to Polymorphism, Single Nucleotide
Share to Quantitative Trait Loci

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

Source

Open in PubMed Open full text

Identifiers

PMID: 34791194
DOI: 10.1093/g3journal/jkab370
PMCID: PMC8727994

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 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

Optimization of BSA-seq experiment for QTL mapping.PMID 34791194Read ↗

BRM: a statistical method for QTL mapping based on bulked segregant analysis by deep sequencing.Semantic proximity Read ↗

QTLseqr: An R Package for Bulk Segregant Analysis with Next-Generation Sequencing.Semantic proximity Read ↗

PyBSASeq: a simple and effective algorithm for bulked segregant analysis with whole-genome sequencing data.Semantic proximity Read ↗

Bulk segregation analysis in the NGS era: a review of its teenage years.Semantic proximity Read ↗

Next-generation bulked segregant analysis for Breeding 4.0.Semantic proximity Read ↗

AAQSP increases mapping resolution of stable QTLs through applying NGS-BSA in multiple genetic backgrounds.Semantic proximity Read ↗

QTL mapping using high-throughput sequencing.Semantic proximity Read ↗

Some ways to improve QTL mapping accuracy.Semantic proximity Read ↗

A combinatorial strategy to identify various types of QTLs for quantitative traits using extreme phenotype individuals in an F2 population.Semantic proximity Read ↗

R/qtlDesign: inbred line cross experimental design.Semantic proximity Read ↗

Target Enrichment Improves Mapping of Complex Traits by Deep Sequencing.Semantic proximity Read ↗

High-performance pipeline for MutMap and QTL-seq.Semantic proximity Read ↗

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