Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Genome-wide Association Studies-GWAS

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

High quality genome assemblies of African cattle breeds using PacBio HiFi sequencing.

Scientific data·2026

Same author

Deep learning can automate chicken tibia-breaking strength quantification to improve animal welfare.

Poultry science·2026

Same author

Structural variant landscape provides insights into genome organisation and domestication in European seabass.

BMC biology·2025

Same author

The future of research software is the future of research.

Patterns (New York, N.Y.)·2025

Same author

The evolution and convergence of mutation spectra across mammals.

Communications biology·2025

Same author

High performance imputation of structural and single nucleotide variants using low-coverage whole genome sequencing.

Genetics, selection, evolution : GSE·2025

Same journal

The life history of recessive deleterious alleles as seen through the eyes of a honey bee (Apis mellifera).

Molecular biology and evolution·2026

Same journal

Severe bottleneck of ancient Homo populations: Insights from computational modeling and relevant fossil evidence.

Molecular biology and evolution·2026

Same journal

Population Epigenetics: Deciphering DNA Methylation Diversity and its Implications for Health, Disease, and Evolution.

Molecular biology and evolution·2026

Same journal

Genomic signature of repeated transitions to diurnality in spiders.

Molecular biology and evolution·2026

Same journal

Phylogenomic blind spots: The limits of UCE and BUSCO loci in the presence of gene flow.

Molecular biology and evolution·2026

Same journal

seqLens: Optimizing Language Models for Genomic Predictions.

Molecular biology and evolution·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Apr 5, 2026

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

hapbin: An Efficient Program for Performing Haplotype-Based Scans for Positive Selection in Large Genomic Datasets.

Colin A Maclean¹, Neil P Chue Hong¹, James G D Prendergast²

¹EPCC, School of Physics and Astronomy, University of Edinburgh, Edinburgh, Scotland, United Kingdom.

Molecular Biology and Evolution

|August 8, 2015

Summary

This summary is machine-generated.

New computational tools are needed to detect selection in large genomic datasets. We developed hapbin, a fast, multithreaded tool for analyzing extended haplotype homozygosity, significantly improving the speed of selection detection.

Keywords:

EHH XP-EHH iHS selection software

More Related Videos

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

Published on: June 28, 2018

Infinium Assay for Large-scale SNP Genotyping Applications

Infinium Assay for Large-scale SNP Genotyping Applications

Published on: November 19, 2013

Related Experiment Videos

Last Updated: Apr 5, 2026

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

Published on: June 28, 2018

Infinium Assay for Large-scale SNP Genotyping Applications

Infinium Assay for Large-scale SNP Genotyping Applications

Published on: November 19, 2013

Area of Science:

Genomics
Computational Biology
Evolutionary Biology

Background:

Understanding genome evolution requires identifying selective processes.
Increasingly large genomic datasets challenge traditional statistical methods for detecting selection.
There is a need for advanced computational and analytical tools to address this challenge.

Purpose of the Study:

To present hapbin, an efficient computational tool for detecting selection in large genomic datasets.
To provide a faster alternative to existing methods for analyzing extended haplotype homozygosity.

Main Methods:

Implemented hapbin as a multithreaded program.
Utilized extended haplotype homozygosity-based statistics for selection detection.
Benchmarked hapbin against current fastest implementations.

Main Results:

hapbin demonstrates significant speed improvements, being up to 3,400 times faster than existing methods.
The tool efficiently detects signatures of selection in large genomic cohorts.
The multithreaded implementation ensures scalability for massive datasets.

Conclusions:

hapbin represents a next-generation tool for genomic selection analysis.
The developed software addresses the need for efficient analysis of large-scale genomic data.
This advancement facilitates a deeper understanding of genome shaping by selective processes.