HaploView
HaploView performs haplotype analysis and linkage disequilibrium calculation to characterize haplotype structure and visualize LD patterns from primary genotype datasets for genetic association and population studies.
Key Features:
- Linkage Disequilibrium (LD) Analysis: Computes linkage disequilibrium statistics to identify non-random associations between genetic variants.
- Population Haplotype Characterization: Characterizes haplotype patterns across populations using primary genotype data to reveal genetic diversity and structure.
- Visualization and Plotting: Generates visualizations of LD matrices and haplotype patterns and supports plotting of analysis results.
- Integration with PLINK Results: Supports visualization and plotting of results produced by PLINK for whole-genome association studies.
- Primary Genotype Data Processing: Processes primary genotype data and computes necessary statistics for analysis of large genomic datasets.
Scientific Applications:
- Genetic Association Studies: Enables detection and localization of disease-associated variants through LD and haplotype analyses.
- Population Genetics: Supports analysis of genetic diversity and population structure by characterizing haplotype distributions.
- Variant Prioritization and Translational Research: Assists fine-mapping and variant interpretation workflows to inform translational and personalized medicine research.
Methodology:
Processes primary genotype data to compute linkage disequilibrium statistics, characterize haplotype patterns, and generate visualizations; plots can be generated from PLINK outputs and computations are performed by underlying computational algorithms for large genomic datasets.
Topics
Collections
Details
- License:
- MIT
- Tool Type:
- workflow
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Java
- Added:
- 8/20/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Barrett JC, Fry B, Maller J, Daly MJ. Haploview: analysis and visualization of LD and haplotype maps. Bioinformatics. 2004;21(2):263-265. doi:10.1093/bioinformatics/bth457. PMID:15297300.
PMID: 15297300