{
  "schemaVersion": 1,
  "slug": "mutscan",
  "name": "mutscan",
  "description": "Process deep mutational scanning and other MAVE sequencing with the mutscan R package — FASTQ to per-variant counts with an audited filter cascade, then edgeR or limma enrichment scored against wild type, plus QC plots.",
  "category": "analysis",
  "version": "1.0.0",
  "author": "Heureka Labs",
  "license": "CC-BY-4.0",
  "tags": [
    "deep-mutational-scanning",
    "variant-effect",
    "fastq",
    "statistics",
    "r"
  ],
  "updatedAt": "2026-10-21T16:01:39-04:00",
  "source": {
    "repo": "heurekalabsco/heurekaskills",
    "commit": "87bef344c860de2523de46617b1f9e4d0a34c5ac",
    "path": "skills/mutscan"
  },
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  "files": [
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      "path": "SKILL.md",
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}