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GHap  

Genome-Wide Haplotyping
View on CRAN: Click here


Download and install GHap package within the R console
Install from CRAN:
install.packages("GHap")

Install from Github:
library("remotes")
install_github("cran/GHap")

Install by package version:
library("remotes")
install_version("GHap", "3.0.0")



Attach the package and use:
library("GHap")
Maintained by
Yuri Tani Utsunomiya
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-05-02
Latest Update: 2025-09-01
Description:
Haplotype calling from phased marker data. Given user-defined haplotype blocks (HapBlock), the package identifies the different haplotype alleles (HapAllele) present in the data and scores sample haplotype allele genotypes (HapGenotype) based on HapAllele dose (i.e. 0, 1 or 2 copies). The output is not only useful for analyses that can handle multi-allelic markers, but is also conveniently formatted for existing pipelines intended for bi-allelic markers. The package was first described in Bioinformatics by Utsunomiya et al. (2016, ). Since the v2 release, the package provides functions for unsupervised and supervised detection of ancestry tracks. The methods implemented in these functions were described in an article published in Methods in Ecology and Evolution by Utsunomiya et al. (2020, ). The source code for v3 was modified for improved performance and inclusion of new functionality, including analysis of unphased data, runs of homozygosity, sampling methods for virtual gamete mating, mixed model fitting and GWAS.
How to cite:
Yuri Tani Utsunomiya (2016). GHap: Genome-Wide Haplotyping. R package version 3.0.0, https://cran.r-project.org/web/packages/GHap. Accessed 26 Aug. 2026.
Previous versions and publish date:
1.2.0 (2016-05-02 13:30), 1.2.1 (2016-06-10 23:28), 1.2.2 (2017-02-18 21:22), 2.0.0 (2020-09-21 10:50), 3.0.0 (2022-07-01 23:50), (2026-07-09 08:05)
Other packages that cited GHap R package
View GHap citation profile
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Complete documentation for GHap
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