{
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  "Package": "mrMLM",
  "Type": "Package",
  "Title": "Multi-Locus Random-SNP-Effect Mixed Linear Model Tools for GWAS",
  "Version": "5.0.1",
  "Date": "2022-3-27",
  "Maintainer": "Yuan-Ming Zhang <soyzhang@mail.hzau.edu.cn>",
  "Contact": "Yuan-Ming Zhang <soyzhang@mail.hzau.edu.cn>",
  "Authors@R": "c( person(\"Ya-Wen\", \"Zhang\", role=\"aut\")\n, person(\"Jing-Tian\", \"Wang\", role=\"aut\")\n, person(\"Pei\", \"Li\", role=\"aut\")\n, person(\"Yuan-Ming\", \"Zhang\", role=c(\"aut\",\"cre\"), email=\"soyzhang@mail.hzau.edu.cn\",\ncomment=c(ORCID=\"0000-0003-2317-2190\"))\n)",
  "Description": "Conduct multi-locus genome-wide association study under\nthe framework of multi-locus random-SNP-effect mixed linear\nmodel (mrMLM). First, each marker on the genome is scanned.\nBonferroni correction is replaced by a less stringent selection\ncriterion for significant test. Then, all the markers that are\npotentially associated with the trait are included in a\nmulti-locus genetic model, their effects are estimated by\nempirical Bayes, and all the nonzero effects were further\nidentified by likelihood ratio test for significant QTL. The\nprogram may run on a desktop or laptop computers. If marker\ngenotypes in association mapping population are almost\nhomozygous, these methods in this software are very effective.\nIf there are many heterozygous marker genotypes, the IIIVmrMLM\nsoftware is recommended. Wen YJ, Zhang H, Ni YL, Huang B, Zhang\nJ, Feng JY, Wang SB, Dunwell JM, Zhang YM, Wu R (2018,\n<doi:10.1093/bib/bbw145>), and Li M, Zhang YW, Zhang ZC, Xiang\nY, Liu MH, Zhou YH, Zuo JF, Zhang HQ, Chen Y, Zhang YM (2022,\n<doi:10.1016/j.molp.2022.02.012>).",
  "License": "GPL (>= 2)",
  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-06-03 11:28:37 UTC",
    "User": "root"
  },
  "Author": "Ya-Wen Zhang [aut], Jing-Tian Wang [aut], Pei Li [aut],\nYuan-Ming Zhang [aut, cre]\n(<https://orcid.org/0000-0003-2317-2190>)",
  "Repository": "https://yuanmingzhang.r-universe.dev",
  "Date/Publication": "2022-03-27 07:50:02 UTC",
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  "_created": "2026-06-03T11:28:37.000Z",
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    "ReadData"
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      "title": "process raw data",
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      "title": "To perform GWAS with FASTmrEMMA method",
      "topics": [
        "FASTmrEMMA"
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    },
    {
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      "title": "To perform GWAS with FASTmrMLM method",
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      "topics": [
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      "title": "Genotype of real data",
      "topics": [
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      "topics": [
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    {
      "page": "mrMLM",
      "title": "Multi-Locus Random-SNP-Effect Mixed Linear Model Tools for GWAS",
      "topics": [
        "mrMLM"
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    },
    {
      "page": "mrMLMFun",
      "title": "To perform GWAS with mrMLM method",
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      "title": "Drawing multi-locus Manhattan plot",
      "topics": [
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      "topics": [
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      "topics": [
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      "title": "Phenotype of real data",
      "topics": [
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        "trait2",
        "trait3"
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      "title": "To perform GWAS with pKWmEB method",
      "topics": [
        "pKWmEB"
      ]
    },
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      "page": "pLARmEB",
      "title": "To perform GWAS with pLARmEB method",
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      "title": "read raw data",
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        "LOD.score",
        "QTN.effect",
        "ResultFinal"
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      "page": "ResultIntermediate",
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        "Trait.ID",
        "Trait.name"
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