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  "Package": "MungeSumstats",
  "Type": "Package",
  "Title": "Standardise summary statistics from GWAS",
  "Version": "1.21.2",
  "Authors@R": "c(person(given = \"Alan\",\nfamily = \"Murphy\",\nrole = c(\"aut\",\"cre\"),\nemail = \"alanmurph94@hotmail.com\",\ncomment = c(ORCID = \"0000-0002-2487-8753\")),\nperson(given = \"Brian\",\nfamily = \"Schilder\",\nrole = c(\"aut\",\"ctb\"),\nemail = \"brian_schilder@alumni.brown.edu\",\ncomment = c(ORCID = \"0000-0001-5949-2191\")),\nperson(given = \"Nathan\",\nfamily = \"Skene\",\nrole = c(\"aut\"),\nemail = \"nathan.skene@gmail.com\",\ncomment = c(ORCID = \"0000-0002-6807-3180\")))",
  "Description": "The *MungeSumstats* package is designed to facilitate the\nstandardisation of GWAS summary statistics. It reformats\ninputted summary statisitics to include SNP, CHR, BP and can\nlook up these values if any are missing. It also pefrorms\ndozens of QC and filtering steps to ensure high data quality\nand minimise inter-study differences.",
  "URL": "https://github.com/neurogenomics/MungeSumstats,\nhttps://al-murphy.github.io/MungeSumstats/",
  "BugReports": "https://github.com/neurogenomics/MungeSumstats/issues",
  "License": "Artistic-2.0",
  "biocViews": "SNP, WholeGenome, Genetics, ComparativeGenomics,\nGenomeWideAssociation, GenomicVariation, Preprocessing",
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  "Repository": "https://bioc.r-universe.dev",
  "Date/Publication": "2026-10-26 20:27:44 UTC",
  "RemoteUrl": "https://github.com/bioc/MungeSumstats",
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    "Date": "2026-10-27 06:42:42 UTC",
    "User": "root"
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  "Author": "Alan Murphy [aut, cre] (ORCID: <https://orcid.org/0000-0002-2487-8753>),\nBrian Schilder [aut, ctb] (ORCID:\n<https://orcid.org/0000-0001-5949-2191>),\nNathan Skene [aut] (ORCID: <https://orcid.org/0000-0002-6807-3180>)",
  "Maintainer": "Alan Murphy <alanmurph94@hotmail.com>",
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  "_type": "src",
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  "_created": "2026-10-27T06:42:42.000Z",
  "_published": "2026-10-28T07:25:27.086Z",
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    "description": "Postdoctoral Research Scientist, Koo lab at CSHL | Deep Learning for genomics",
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      "title": "Check for N column if not present and user wants, impute N based on user's sample size. *NOTE* this will be the same value for each SNP which is not necessarily correct and may cause issues down the line. N can also be inputted with \"ldsc\", \"sum\", \"giant\" or \"metal\" by passing one or multiple of these.",
      "topics": [
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      "title": "Check that summary statistics from GWAS are in a homogeneous format",
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      "title": "GWAS Educational Attainment Okbay 2016 - Subset",
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      "title": "Write sum stats file to disk",
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