{
  "channels": [
    "file:///opt/host-conda-bld",
    "https://conda.anaconda.org/conda-forge",
    "https://conda.anaconda.org/bioconda",
    "file:///opt/host-conda-bld",
    "https://conda.anaconda.org/conda-forge",
    "https://conda.anaconda.org/bioconda"
  ],
  "conda_build_version": "24.7.1",
  "conda_version": "24.9.2",
  "description": "MSFragger is an ultrafast database search tool for peptide identification in mass spectrometry-based proteomics.\nIt has demonstrated excellent performance across a wide range of datasets and applications.\nMSFragger is suitable for standard shotgun proteomics analyses as well as large datasets (including timsTOF PASEF data),\nenzyme unconstrained searches (e.g., peptidome),\nopen database searches (e.g., precursor mass tolerance set to hundreds of Daltons) for identification\nof modified peptides, and glycopeptide identification (N-linked and O-linked).\n\nMSFragger is available freely for academic research and educational purposes only, in accordance with the terms at https://msfragger.arsci.com/upgrader/MSFragger-LICENSE.pdf.\n",
  "env_vars": {
    "CIO_TEST": "<not set>"
  },
  "extra": {
    "copy_test_source_files": true,
    "final": true,
    "identifiers": [
      "doi:10.1038/nmeth.4256",
      "doi:10.1038/s41467-020-17921-y",
      "doi:10.1038/s41592-020-0967-9"
    ],
    "notes": "The \"msfragger\" command runs the MSFragger java program.\n"
  },
  "home": "https://github.com/Nesvilab/MSFragger",
  "identifiers": [],
  "keywords": [],
  "license": "Academic License",
  "license_file": [
    "licenses/LICENSE-ACADEMIC.pdf"
  ],
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  "summary": "Ultrafast, comprehensive peptide identification for mass spectrometry\u2013based proteomics",
  "tags": []
}