{
  "schemaVersion": 1,
  "slug": "dimsum",
  "name": "dimsum",
  "description": "Score deep mutational scanning experiments with DiMSum — paired FASTQ or variant counts to fitness with per-variant error from a fitted error model. Covers the conda pins it now needs, the design file, and its whitespace-delimited outputs.",
  "category": "analysis",
  "version": "1.0.0",
  "author": "Heureka Labs",
  "license": "CC-BY-4.0",
  "tags": [
    "deep-mutational-scanning",
    "variant-effect",
    "fastq",
    "selection",
    "dimsum"
  ],
  "covers": [
    "deep mutational scanning",
    "DMS",
    "MAVE",
    "multiplexed assay of variant effect",
    "saturation mutagenesis",
    "variant fitness",
    "error model",
    "enrichment score",
    "selection experiment",
    "yeast growth selection",
    "protein mutagenesis",
    "single mutants",
    "double mutants",
    "epistasis",
    "paired-end reads",
    "cutadapt",
    "VSEARCH",
    "starcode",
    "FastQC",
    "MaveDB",
    "TDP-43",
    "R",
    "bioconda"
  ],
  "papers": [
    "PMID:32799905",
    "PMID:31519910"
  ],
  "updatedAt": "2026-10-21T16:28:06-04:00",
  "source": {
    "repo": "heurekalabsco/heurekaskills",
    "commit": "87bef344c860de2523de46617b1f9e4d0a34c5ac",
    "path": "skills/dimsum"
  },
  "checksum": "sha256:771886e2dd08b80c1c82a60490e0cf54cf7ad1c4eadc520a03851a565f4216b2",
  "signals": null,
  "files": [
    {
      "path": "SKILL.md",
      "url": "https://heurekaskills.com/dimsum/files/SKILL.md",
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      "sha256": "b4bd3b2b2d50d6813c20574c7f49d4b226cb2ba625b51f7b3d18a0cbaa5f1e30"
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}