{
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  "Type": "Package",
  "Package": "locuscomparer",
  "Title": "locuscomparer: Visualization of GWAS-QTL Colocalization Events",
  "Version": "1.0.0",
  "Authors@R": "c(\nperson(\"Boxiang\", \"Liu\", , \"jollier.liu@gmail.com\", role = c(\"aut\", \"cre\")),\nperson(\"Michael\", \"Gloudemans\", , \"mgloud@stanford.edu\", role = \"ctb\"),\nperson(\"Stephen\", \"Montgomery\", , \"smontgom@stanford.edu\", role = \"ctb\")\n)",
  "Description": "locuscomparer is the standalone version of the\nLocusCompare webserver (www.locuscompare.ml:3838).\nlocuscomparer performs visualization of colocalization of\nsummary statistics from pairs of association datasets (e.g.\nGWAS and eQTL).",
  "License": "GPL-3",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "RoxygenNote": "7.3.2",
  "Config/pak/sysreqs": "libmysqlclient-dev",
  "Repository": "https://mrcieu.r-universe.dev",
  "Date/Publication": "2025-08-06 08:01:56 UTC",
  "RemoteUrl": "https://github.com/remlapmot/locuscomparer",
  "RemoteRef": "suggestions",
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  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-02 09:08:11 UTC",
    "User": "root"
  },
  "Author": "Boxiang Liu [aut, cre],\nMichael Gloudemans [ctb],\nStephen Montgomery [ctb]",
  "Maintainer": "Boxiang Liu <jollier.liu@gmail.com>",
  "MD5sum": "ff9d274dc98453749d13bb15744000c7",
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  "_type": "src",
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    "author": "Tom Palmer <remlapmot@hotmail.com>",
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    "message": "Add helpfile for dataset\n",
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    "name": "Boxiang Liu",
    "email": "jollier.liu@gmail.com",
    "login": "boxiangliu",
    "bluesky": "@boxiangliu.bsky.social",
    "linkedin": "in/boxiang",
    "twitter": "@boxiangliu",
    "description": "Presidential Young Professor @nus, Staff Research Scientist @baidu, Ph.D. @Stanford. Working in the intersection between AI/ML and biology/medicine. ",
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  "_selfowned": false,
  "_usedby": 0,
  "_updates": [
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      "week": "2025-32",
      "n": 28
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  "_stars": 0,
  "_contributors": [
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      "user": "boxiangliu",
      "count": 37,
      "uuid": 4122434
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    "type": "organization",
    "name": "MRC Integrative Epidemiology Unit"
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  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/locuscomparer.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
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  "_exports": [
    "add_label",
    "assign_color",
    "get_lead_snp",
    "get_position",
    "locuscompare",
    "make_combined_plot",
    "make_locuszoom",
    "make_scatterplot",
    "read_metal",
    "retrieve_LD"
  ],
  "_datasets": [
    {
      "name": "config",
      "title": "Example dataset",
      "object": "config",
      "class": [
        "data.frame"
      ],
      "fields": [
        "a",
        "b",
        "c"
      ],
      "rows": 1,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "add_label",
      "title": "Add a column of SNP labels to input data.frame",
      "topics": [
        "add_label"
      ]
    },
    {
      "page": "assign_color",
      "title": "Assign color to each SNP according to LD.",
      "topics": [
        "assign_color"
      ]
    },
    {
      "page": "config",
      "title": "Example dataset",
      "topics": [
        "config"
      ]
    },
    {
      "page": "get_lead_snp",
      "title": "Get the lead SNP from the list of SNPs in input data.frame The lead SNP is defined as the SNP with the lowest sum of p-values from the two studies.",
      "topics": [
        "get_lead_snp"
      ]
    },
    {
      "page": "get_position",
      "title": "Append two columns, chromosome (chr) and position (pos), to the input data.frame.",
      "topics": [
        "get_position"
      ]
    },
    {
      "page": "locuscompare",
      "title": "Make a locuscompare plot.",
      "topics": [
        "locuscompare"
      ]
    },
    {
      "page": "make_combined_plot",
      "title": "Generated a combined plot with two locuszoom plots and a locuscompare plot. Each locuszoom plot represent an association study.",
      "topics": [
        "make_combined_plot"
      ]
    },
    {
      "page": "make_locuszoom",
      "title": "Make a locuszoom plot. Details see http://locuszoom.org/.",
      "topics": [
        "make_locuszoom"
      ]
    },
    {
      "page": "make_scatterplot",
      "title": "Make a scatter plot (called the LocusCompare plot). Each axis of the LocusCompare plot represent the -log10(p-value) from an association study. Each point thus represent a SNP. By default, the lead SNP is a purple diamond, whereas the other SNPs are colored according to their LD with the lead SNP.",
      "topics": [
        "make_scatterplot"
      ]
    },
    {
      "page": "read_metal",
      "title": "Read association summary statistics from file and append column. The file must contain 2 columns: markers, i.e SNPs, and p-value. The marker column should contain SNP rsIDs.",
      "topics": [
        "read_metal"
      ]
    },
    {
      "page": "retrieve_LD",
      "title": "Retrive SNP pairwise LD from database. SNP pairwise lD are calculated based on 1000 Genomes Project Phase 3 version 5. For storage-efficiency, the output will only include SNPs with r2 > 0.2 with the input SNP.",
      "topics": [
        "retrieve_LD"
      ]
    }
  ],
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  "_nocasepkg": "locuscomparer",
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