{
  "_id": "6ac4cad1f511ae58c09a16bd",
  "Package": "HaploCatcher",
  "Title": "A Predictive Haplotyping Package",
  "Date": "2026-06-01",
  "Version": "2.0.1",
  "Authors@R": "person(\"Zachary\", \"Winn\", , \"zwinn@outlook.com\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0003-1543-1527\"))",
  "Description": "Used for predicting a genotype's allelic state at a\nspecific locus/QTL/gene. This is accomplished by using both a\ngenotype matrix and a separate file which has categorizations\nabout loci/QTL/genes of interest for the individuals in the\ngenotypic matrix. A training population can be created from a\npanel of individuals who have been previously screened for\nspecific loci/QTL/genes, and this previous screening could be\nsummarized into a category. Using the categorization of\nindividuals which have been genotyped using a genome wide\nmarker platform, a model can be trained to predict what\ncategory (haplotype) an individual belongs in based on their\ngenetic sequence in the region associated with the\nlocus/QTL/gene. These trained models can then be used to\npredict the haplotype of a locus/QTL/gene for individuals which\nhave been genotyped with a genome wide platform yet not\ngenotyped for the specific locus/QTL/gene. This package is\nbased off work done by Winn et al 2021. For more specific\ninformation on this method, refer to\n<doi:10.1007/s00122-022-04178-w>.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
  "Roxygen": "list(markdown = TRUE)",
  "URL": "https://github.com/zjwinn/HaploCatcher",
  "BugReports": "https://github.com/zjwinn/HaploCatcher/issues",
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  "Repository": "https://zjwinn.r-universe.dev",
  "Date/Publication": "2026-06-08 21:14:48 UTC",
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    "User": "root"
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  "Author": "Zachary Winn [aut, cre] (ORCID:\n<https://orcid.org/0000-0003-1543-1527>)",
  "Maintainer": "Zachary Winn <zwinn@outlook.com>",
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      "name": "v2.0.0-on-publish",
      "date": "2026-06-05"
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    "genes",
    "genetics",
    "locus",
    "machine-learning",
    "molecular-genetics",
    "pipeline",
    "plantbreeding"
  ],
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    "locus_cv",
    "locus_perm_cv",
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        "Call"
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        "BP_Position"
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    {
      "page": "auto_locus",
      "title": "Auto Locus: An Automated Pipeline for Locus Prediction",
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        "auto_locus"
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      "title": "Model Gene Compendium Data Set",
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        "gene_comp"
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      "title": "Model Gene Compendium Data Set",
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        "geno_mat"
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    },
    {
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        "locus_cv"
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    },
    {
      "page": "locus_perm_cv",
      "title": "Haplotype Prediction: Permutation Cross Validation of KNN and RF Models",
      "topics": [
        "locus_perm_cv"
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    },
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      "topics": [
        "locus_pred"
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    },
    {
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      "title": "Haplotype Prediction: Training Models for Forward Prediction",
      "topics": [
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    },
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      "topics": [
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    },
    {
      "page": "plot_locus_perm_cv",
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      "topics": [
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      ]
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