{
    "bcoid": "GLY_000489",
    "title": "SARS-CoV1 Protein Diseases",
    "description": "The SARS coronavirus (SARS-CoV-1) Protein Diseases dataset contains disease caused by sarscov1 virus ...",
    "filename": "sarscov1_protein_disease.csv",
    "filetype": "csv",
    "categories": {
        "species": "SARS coronavirus (SARS-CoV-1)",
        "molecule": "Protein",
        "tags": "diseases",
        "file_type": "csv",
        "status": "Reviewed",
        "scope": "internal"
    },
    "minitable": {
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            "xref_key..."
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        "data": [
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                    "type": "string",
                    "label": "uniprotkb_canonical_ac"
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                    "type": "string",
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                    "label": "database_label"
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    "readme": "Name\n   - SARS-CoV1 Protein Diseases\n\nVersion\n   - 1.7.13\n\nCreated on\n  - 2020-04-29T16:15:30.138920\n\nModified on\n   - 2020-04-29T21:49:33.078025\n\nCreated by\n   - Jeet Vora [jeetvora@gwu.edu], Rahi Navelkar [rsn13@gwu.edu], Robel Kahsay [rykahsay@gwu.edu]\n\nAuthors\n   - \n\nChecksum\n   - \n\nUsability Domain\n   - The SARS coronavirus (SARS-CoV-1) Protein Diseases dataset contains disease caused by sarscov1 virus [taxid:694009] which is SARS and is mapped to all UniProtKB canonical accessions. The dataset contains SARS (Severe Acute Respiratory Syndrome) disease ontology ID and GlyGen dataset ID. The input file for this dataset is compiled by GlyGen. If you use this dataset please give proper attribution to UniProtKB and GlyGen.\n\nDescription Domain\n   Keywords\n   - SARS (Severe Acute Respiratory Syndrome) \n   - DOID\n   - SARS-CoV-1\n   - disease\n\n   Pipeline Steps\n   - Step-1: The script extracts the UniProtKB canonical accessions, database name, database ID and DOID from the input file as a dataset in a csv format\n\nExecution Domain\n   Scripts   - https://github.com/GW-HIVE/glygen-backend-integration/blob/master/pipeline/integrator/make-protein-dataset.py\n\n\n   Software Prerequisites\n      Name: Python\n      Version: 2.7.5\n      URI: https://www.python.org/download/releases/2.7.5/\n\nI/O Domain\n   Input Subdomain\n      Name: sarscov1_protein_disease.csv\n      URI: https://data.glygen.org/ln2data/releases/data/v-1.7.13/compiled/sarscov1_protein_disease.csv\n   Output Subdomain\n      Name: sarscov1_protein_disease.csv\n      URI: https://data.glygen.org/ln2data/releases/data/v-1.7.13/reviewed/sarscov1_protein_disease.csv\n      Name: sarscov1_protein_disease.stat.csv\n      URI: https://data.glygen.org/ln2data/releases/data/v-1.7.13/reviewed/sarscov1_protein_disease.stat.csv\n\nFields\n      Name: \"do_id\"\n     Description: \"Disease Ontology identifier\"\n      Unique Values: \"1\"\n      Name: \"uniprotkb_canonical_ac\"\n     Description: \"\"\n      Unique Values: \"15\"\n      Name: \"xref_id\"\n     Description: \"ID of the X-ref\"\n      Unique Values: \"1\"\n      Name: \"database_label\"\n     Description: \"Label or name assigned to the corresponding identifier in the source database\"\n      Unique Values: \"1\"\n      Name: \"xref_key\"\n     Description: \"Source key associated to the  xref_id\"\n      Unique Values: \"1\"\n      Name: \"mondo_id\"\n     Description: \"The Mondo Disease Ontology (MONDO) identifier\"\n      Unique Values: \"1\"",
    "downloadurl": "/ln2data/releases/data/v-1.7.13/reviewed/sarscov1_protein_disease.csv"
}