{
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  "Package": "JohnsonKinaseData",
  "Title": "Kinase PWMs based on data published by Johnson et al. 2023 and\nYaron-Barir et al. 2024",
  "Version": "1.8.0",
  "Date": "2023-09-24",
  "Authors@R": "person(\"Florian\", \"Geier\", , \"florian.geier@unibas.ch\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-9076-9264\"))",
  "Description": "The packages provides position specific weight matrices\n(PWMs) for 303 human serine/threonine and 93 tyrosine kinases\noriginally published in Johnson et al. 2023\n(doi:10.1038/s41586-022-05575-3) and Yaron-Barir et al. 2024\n(doi:10.1038/s41586-024-07407-y). The package includes basic\nfunctionality to score user provided phosphosites. It also\nincludes pre-computed PWM scores (\"background scores\") for a\nlarge collection of curated human phosphosites which can be\nused to rank PWM scores relative to the background scores\n(\"percentile rank\").",
  "License": "MIT + file LICENSE",
  "URL": "https://github.com/fgeier/JohnsonKinaseData/",
  "BugReports": "https://support.bioconductor.org/t/JohnsonKinaseData",
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  "Repository": "Bioconductor 3.23",
  "Date/Publication": "2026-04-28 12:37:31 UTC",
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    "User": "root"
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  "Author": "Florian Geier [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-9076-9264>)",
  "Maintainer": "Florian Geier <florian.geier@unibas.ch>",
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  "_created": "2026-10-10T11:19:00.000Z",
  "_published": "2026-10-10T11:26:34.182Z",
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      "page": "getBackgroundScores",
      "title": "Get precomputed PWM scores for two sets of curated human phosphosites",
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    },
    {
      "page": "getKinaseAnnotation",
      "title": "Get annnotation data for all kinase PWMs",
      "topics": [
        "getKinaseAnnotation"
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    },
    {
      "page": "getKinasePWM",
      "title": "Get a list of position specific weight matrices (PWMs) for human kinases",
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        "getKinasePWM"
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      "page": "getScoreMaps",
      "title": "Map log2-odds score to percentile rank",
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      "title": "Match kinase PWMs to processed phosphosites",
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      "title": "Using JohnsonKinaseData to predict kinase-substrate relationships",
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