Package: HaploCatcher 1.0.4

HaploCatcher: A Predictive Haplotyping Package

Used for predicting a genotype’s allelic state at a specific locus/QTL/gene. This is accomplished by using both a genotype matrix and a separate file which has categorizations about loci/QTL/genes of interest for the individuals in the genotypic matrix. A training population can be created from a panel of individuals who have been previously screened for specific loci/QTL/genes, and this previous screening could be summarized into a category. Using the categorization of individuals which have been genotyped using a genome wide marker platform, a model can be trained to predict what category (haplotype) an individual belongs in based on their genetic sequence in the region associated with the locus/QTL/gene. These trained models can then be used to predict the haplotype of a locus/QTL/gene for individuals which have been genotyped with a genome wide platform yet not genotyped for the specific locus/QTL/gene. This package is based off work done by Winn et al 2021. For more specific information on this method, refer to <doi:10.1007/s00122-022-04178-w>.

Authors:Zachary Winn [aut, cre]

HaploCatcher_1.0.4.tar.gz
HaploCatcher_1.0.4.zip(r-4.7)HaploCatcher_1.0.4.zip(r-4.6)HaploCatcher_1.0.4.zip(r-4.5)
HaploCatcher_1.0.4.tgz(r-4.6-any)HaploCatcher_1.0.4.tgz(r-4.5-any)
HaploCatcher_1.0.4.tar.gz(r-4.7-any)HaploCatcher_1.0.4.tar.gz(r-4.6-any)
HaploCatcher_1.0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
HaploCatcher/json (API)

# Install 'HaploCatcher' in R:
install.packages('HaploCatcher', repos = c('https://zjwinn.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/zjwinn/haplocatcher/issues

Datasets:

On CRAN:

Conda:

genesgeneticslocusmachine-learningmolecular-geneticspipelineplantbreeding

3.70 score 1 stars 3 scripts 720 downloads 6 exports 81 dependencies

Last updated from:b8ded23695. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK205
source / vignettesOK359
linux-release-x86_64OK195
macos-release-arm64OK160
macos-oldrel-arm64OK194
windows-develOK158
windows-releaseOK135
windows-oldrelOK164
wasm-releaseOK135

Exports:auto_locuslocus_cvlocus_perm_cvlocus_predlocus_trainplot_locus_perm_cv

Dependencies:caretclasscliclockcodetoolscpp11data.tablediagramdigestdoParalleldplyre1071evaluatefarverforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhathighripredisobanditeratorsKernSmoothknitrlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixModelMetricsnlmennetnumDerivparallellypatchworkpillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6randomForestRColorBrewerRcpprecipesreshape2rlangrpartS7scalesshapesparsevctrsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithrxfunyaml

An Introduction to HaploCatcher

Rendered fromAn_Intro_to_HaploCatcher.Rmdusingknitr::rmarkdownon May 20 2026.

Last update: 2023-04-03
Started: 2023-03-29