{
  "bco_id": "http://data.glygen.org/GLY_000643",
  "checksum": "d3ec03c75437388792c7ea6ec0229f6f",
  "bco_spec_version": "1.3.0",
  "provenance_domain": {
    "name": "Fruitfly N-Glycosylation Sequon",
    "version": "1.12.3",
    "created": "2022-08-30T16:10:07.494670",
    "modified": "2022-08-30T16:10:30.048188",
    "contributors": [
      {
        "orcid": "",
        "affiliation": "The George Washington University",
        "contribution": [
          "createdBy"
        ],
        "name": "Jeet Vora",
        "email": "jeetvora@gwu.edu"
      },
      {
        "orcid": "",
        "affiliation": "The George Washington University",
        "contribution": [
          "createdBy"
        ],
        "name": "Robel Kahsay",
        "email": "rykahsay@gwu.edu"
      },
      {
        "orcid": "",
        "affiliation": "The George Washington University",
        "contribution": [
          "createdBy"
        ],
        "name": "Xavier Holmes",
        "email": "xavierh@email.gwu.edu"
      },
      {
        "orcid": "",
        "affiliation": "EMBL-EBI-UniProt",
        "contribution": [
          "contributedBy"
        ],
        "name": "Maria Martin",
        "email": "martin@ebi.ac.uk"
      },
      {
        "orcid": "",
        "affiliation": "EMBL-EBI-UniProt",
        "contribution": [
          "contributedBy"
        ],
        "name": "Preethi Vasudev",
        "email": "pvasudev@ebi.ac.uk"
      },
      {
        "orcid": "",
        "affiliation": "The George Washington University",
        "contribution": [
          "createdBy"
        ],
        "name": "Karina Martinez",
        "email": "karinamartinez@gwu.edu"
      }
    ],
    "license": "https://creativecommons.org/licenses/by/4.0/"
  },
  "usability_domain": [
    "The Fruitfly N-Glycosylation Sequon dataset contains N-glycosylation sequon or motif or consensus sequence for fruitfly [taxid:7227] UniProtKB canonical sequences identified by the script. The script identifies the N-glycosylation sequon pattern - Asn-X-Ser/Thr , where X is any amino acid except proline (Pro) for UniProtKB accessions. "
  ],
  "extension_domain": {
    "fhir_extension": [],
    "scm_extension": {
      "scm_repository": "",
      "scm_type": "git",
      "scm_commit": "",
      "scm_path": ""
    },
    "additional_license": {
      "data_license": "https://creativecommons.org/licenses/by/4.0/",
      "script_license": "https://www.gnu.org/licenses/gpl-3.0.en.html"
    },
    "dataset_categories": [
      {
        "category_value": "Drosophila melanogaster",
        "category_name": "species"
      },
      {
        "category_value": "Protein",
        "category_name": "molecule"
      },
      {
        "category_value": "N-Glycosylation Sequon",
        "category_name": "tags"
      },
      {
        "category_value": "csv",
        "category_name": "file_type"
      },
      {
        "category_value": "Reviewed",
        "category_name": "status"
      },
      {
        "category_value": "internal",
        "category_name": "scope"
      }
    ]
  },
  "description_domain": {
    "keywords": [
      "n-glycosylation sequon",
      "NXS/T",
      "n-glycosylation motif",
      "n-glycosylation consensus sequence"
    ],
    "pipeline_steps": [
      {
        "step_number": 1,
        "name": "make-protein-dataset.py",
        "description": "The script uses the PS Scan tool (accession- PS00001) from ProSite to extracts the N-glycosylation pattern/sequon/motif N-{P}-[ST]-{P} where P is not a proline from the UniProtKB canonical sequences. More info -  https://prosite.expasy.org/PDOC00001, https://prosite.expasy.org/PS00001 and extracts as a csv.",
        "version": "",
        "prerequisite": [],
        "input_list": [
          {
            "access_time": "",
            "uri": "https://data.glygen.org/ln2data/releases/data/v-1.12.3/reviewed/fruitfly_protein_canonicalsequences.fasta",
            "filename": "fruitfly_protein_canonicalsequences.fasta"
          }
        ],
        "output_list": [
          {
            "access_time": "2019-07-26T17:45:17-0500",
            "uri": "https://data.glygen.org/ln2data/releases/data/v-1.12.3/reviewed/fruitfly_protein_glycosylation_motifs.csv",
            "filename": "fruitfly_protein_glycosylation_motifs.csv"
          }
        ]
      }
    ]
  },
  "execution_domain": {
    "script": [
      {
        "uri": {
          "access_time": "",
          "sha1_chksum": "",
          "uri": "https://github.com/GW-HIVE/glygen-backend-integration/blob/master/pipeline/integrator/make-protein-dataset.py",
          "filename": "make-protein-dataset.py"
        }
      }
    ],
    "script_driver": "manual",
    "software_prerequisites": [
      {
        "name": "Python",
        "version": "2.7.5",
        "uri": {
          "access_time": "2019-01-07T17:43:17-0500",
          "sha1_chksum": "",
          "uri": "https://www.python.org/download/releases/2.7.5/"
        }
      }
    ],
    "external_data_endpoints": [],
    "environment_variables": {}
  },
  "parametric_domain": [],
  "io_domain": {
    "input_subdomain": [
      {
        "uri": {
          "access_time": "",
          "uri": "https://data.glygen.org/ln2data/releases/data/v-1.12.3/reviewed/fruitfly_protein_canonicalsequences.fasta",
          "filename": "fruitfly_protein_canonicalsequences.fasta"
        }
      }
    ],
    "output_subdomain": [
      {
        "mediatype": "csv",
        "uri": {
          "access_time": "2019-07-26T17:45:17-0500",
          "sha1_chksum": "",
          "uri": "https://data.glygen.org/ln2data/releases/data/v-1.12.3/reviewed/fruitfly_protein_glycosylation_motifs.csv",
          "filename": "fruitfly_protein_glycosylation_motifs.csv"
        }
      },
      {
        "mediatype": "csv",
        "uri": {
          "access_time": "",
          "sha1_chksum": "",
          "uri": "https://data.glygen.org/ln2data/releases/data/v-1.12.3/reviewed/fruitfly_protein_glycosylation_motifs.stat.csv",
          "filename": "fruitfly_protein_glycosylation_motifs.stat.csv"
        }
      }
    ]
  },
  "error_domain": {
    "empirical_error": {},
    "algorithmic_error": {}
  }
}