{
  "_id": "6a3636073efcd9bda43f7d4c",
  "Package": "ddPCRclust",
  "Title": "Clustering algorithm for ddPCR data",
  "Version": "1.32.0",
  "Authors@R": "c(person(\"Benedikt G.\", \"Brink\", email = \"bbrink@cebitec.uni-bielefeld.de\", role = c(\"aut\", \"cre\")), \nperson(\"Justin\", \"Meskas\", email = \"jmeskas@bccrc.ca\", role = \"ctb\"),\nperson(\"Ryan R.\", \"Brinkman\", email = \"rbrinkman@bccrc.ca\", role = \"ctb\"))",
  "Description": "The ddPCRclust algorithm can automatically quantify the\nCPDs of non-orthogonal ddPCR reactions with up to four targets.\nIn order to determine the correct droplet count for each\ntarget, it is crucial to both identify all clusters and label\nthem correctly based on their position. For more information on\nwhat data can be analyzed and how a template needs to be\nformatted, please check the vignette.",
  "Collate": "'cluster_functions.R' 'functions.R' 'ddPCRclust.R'",
  "License": "Artistic-2.0",
  "URL": "https://github.com/bgbrink/ddPCRclust",
  "BugReports": "https://github.com/bgbrink/ddPCRclust/issues",
  "biocViews": "ddPCR, Clustering",
  "RoxygenNote": "6.0.1",
  "Config/pak/sysreqs": "cmake make libgsl0-dev libicu-dev libjpeg-dev\nlibpng-dev libssl-dev",
  "Repository": "https://bioc-release.r-universe.dev",
  "Date/Publication": "2026-04-28 12:47:21 UTC",
  "RemoteUrl": "https://github.com/bioc/ddPCRclust",
  "RemoteRef": "RELEASE_3_23",
  "RemoteSha": "ffa5b1c854fbc014409b15be23d79098bcb466cc",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-20 06:31:27 UTC",
    "User": "root"
  },
  "Author": "Benedikt G. Brink [aut, cre],\nJustin Meskas [ctb],\nRyan R. Brinkman [ctb]",
  "Maintainer": "Benedikt G. Brink <bbrink@cebitec.uni-bielefeld.de>",
  "MD5sum": "cd41d8b6eaad3107ae4d50901655cb23",
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  "_type": "src",
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  "_created": "2026-06-20T06:31:27.000Z",
  "_published": "2026-06-20T06:41:11.071Z",
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    "clustering",
    "biological-data-analysis"
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  "_help": [
    {
      "page": "calculateCPDs",
      "title": "Calculates the copies per droplet",
      "topics": [
        "calculateCPDs"
      ]
    },
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      "page": "createEnsemble",
      "title": "Create a cluster ensemble",
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      "page": "ddPCRclust",
      "title": "ddPCRclust A package for automated quantification of multiplexed ddPCR data",
      "topics": [
        "ddPCRclust-package",
        "ddPCRclust"
      ]
    },
    {
      "page": "exportPlots",
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      ]
    },
    {
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    },
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      "topics": [
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      ]
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