GHap

GHap calls haplotypes from phased marker data and scores sample HapGenotype by HapAllele dosage (0, 1, or 2) within user-defined HapBlock regions to support multi-allelic haplotype analyses.


Key Features:

  • HapBlock: Uses user-defined haplotype blocks (HapBlock) to delineate haplotype regions.
  • HapAllele identification: Identifies and characterizes distinct haplotype alleles (HapAllele) present in the dataset.
  • HapGenotype scoring: Scores sample haplotype allele genotypes (HapGenotype) based on HapAllele dosage values 0, 1, or 2.
  • Multi-allelic marker support: Handles multi-allelic markers in addition to analyses applicable to bi-allelic markers.
  • Output compatibility: Produces output formatted for integration with data processing pipelines designed for bi-allelic markers.
  • Input data: Operates on phased marker data as input.

Scientific Applications:

  • Association studies: Haplotype-based association analyses that leverage multi-allelic information.
  • Population genetics: Analyses of haplotype diversity and population structure using haplotype allele information.
  • Evolutionary biology: Studies of haplotype evolution and allele frequency dynamics across HapBlock regions.

Methodology:

Accepts phased marker data and uses predefined HapBlock configurations to identify HapAlleles and score HapGenotypes by HapAllele dosage (0, 1, 2).

Topics

Details

Tool Type:
library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
8/3/2017
Last Updated:
11/25/2024

Operations

Publications

Utsunomiya YT, Milanesi M, Utsunomiya ATH, Ajmone-Marsan P, Garcia JF. GHap: an R package for genome-wide haplotyping. Bioinformatics. 2016;32(18):2861-2862. doi:10.1093/bioinformatics/btw356. PMID:27283951.

Documentation

Links