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    "spec_version": "1.3.0",
    "provenance_domain": {
        "name": "Human Glycosylation Sites Diabetes Glycomics Study",
        "version": "v-2.7.1",
        "license": "https://creativecommons.org/licenses/by/4.0/",
        "modified": "2024-06-04T13:24:39.398Z",
        "contributors": [
            {
                "name": "Jeet Vora",
                "affiliation": "The George Washington University",
                "contribution": [
                    "createdBy"
                ],
                "email": "jeetvora@gwu.edu"
            },
            {
                "name": "Karina Martinez",
                "affiliation": "The George Washington University",
                "contribution": [
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                ],
                "email": "karinamartinez@gwu.edu"
            },
            {
                "name": "Robel Kahsay",
                "affiliation": "The George Washington University",
                "contribution": [
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                ],
                "email": "rykahsay@gwu.edu"
            },
            {
                "name": "Jingyue Wu",
                "affiliation": "The George Washington University",
                "contribution": [
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                ],
                "email": "jingyue.wu@email.gwu.edu"
            },
            {
                "name": "Luke Johnson",
                "affiliation": "The George Washington University",
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                ],
                "email": "luke.johnson@email.gwu.edu"
            },
            {
                "name": "Urnisha Bhuiyan",
                "affiliation": "The George Washington University",
                "contribution": [
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                ],
                "email": "sbhuiyan28@email.gwu.edu"
            },
            {
                "name": "Cyrus Au-Yeung",
                "affiliation": "The George Washington University",
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                ],
                "email": "cyruschauyeung@gwu.edu"
            },
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                "affiliation": "University of Zagreb",
                "email": "ogornik@pharma.hr",
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            },
            {
                "name": "Nadja Rudman",
                "affiliation": "University of Zagreb",
                "email": "najda.rudman@gmail.com",
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                ]
            },
            {
                "name": "Kate Warner",
                "affiliation": "The George Washington University",
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                ],
                "email": "k.warner1@gwu.edu"
            }
        ]
    },
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        "The Human Glycosylation Sites Diabetes Glycomics Study dataset contains abundance information on the plasma N-glycome of individuals participating in the FinRisk study. Baseline samples were analyzed from 37 individuals who developed type 2 diabetes within 10 years and 37 sex and age matched individuals who remained normoglycaemic. HILIC-UPLC chromatograms were separated into 46 peaks, and were assigned to the most abundant glycan structures in each peak (see Fig 1 of Ref. 1). The data is submitted by Dr. Olga Gornik, Faculty of Pharmacy and Biochemistry, University of Zagreb. GlyTouCan accessions were mapped to each peak by the GlyGen team based on the glycan topology. If you use this dataset please provide proper attribution to the source publication [1] and GlyGen.",
        "References: 1) Keser T, Gornik I, Vu\u010dkovi\u0107 F, Selak N, Pavi\u0107 T, Luki\u0107 E, Gudelj I, Ga\u0161parovi\u0107 H, Bio\u010dina B, Tilin T, Wennerstr\u00f6m A, M\u00e4nnist\u00f6 S, Salomaa V, Havulinna A, Wang W, Wilson JF, Chaturvedi N, Perola M, Campbell H, Lauc G, Gornik O. Increased plasma N-glycome complexity is associated with higher risk of type 2 diabetes. Diabetologia. 2017;60(12):2352-2360. doi:10.1007/s00125-017-4426-9. PMID:28905229."
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                },
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                        "category_value": "Homo sapiens",
                        "category_name": "species"
                    },
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    ],
    "description_domain": {
        "keywords": [
            "N-glycome",
            "Publications",
            "Citations",
            "PubMed",
            "Diabetes"
        ],
        "pipeline_steps": [
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                "name": "make-proteoform-dataset.py",
                "step_number": 1,
                "input_list": [],
                "description": "The script performs QC steps and creates a proteoform dataset according to the GlyGen data model.",
                "prerequisite": [],
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        ]
    },
    "execution_domain": {
        "script": [
            {
                "uri": {
                    "uri": "https://github.com/glygener/glygen-backend-integration/blob/master/dataset-maker/make-proteoform-dataset.py",
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        ],
        "script_driver": "manual",
        "software_prerequisites": [
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                "uri": {
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            }
        ],
        "external_data_endpoints": [],
        "environment_variables": {}
    },
    "parametric_domain": [
        {
            "value": ""
        }
    ],
    "io_domain": {
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                "uri": {
                    "uri": "https:/data.glygen.org/ln2releases/data/v-2.7.1/reviewed/human_proteoform_glycosylation_sites_diabetes_glycomic.csv",
                    "filename": "human_proteoform_glycosylation_sites_diabetes_glycomic.csv"
                },
                "mediatype": "csv"
            },
            {
                "mediatype": "csv",
                "uri": {
                    "uri": "https:/data.glygen.org/ln2releases/data/v-2.7.1/reviewed/human_proteoform_glycosylation_sites_diabetes_glycomic.stat.csv",
                    "filename": "human_proteoform_glycosylation_sites_diabetes_glycomic.stat.csv"
                }
            }
        ],
        "input_subdomain": [
            {
                "uri": {
                    "filename": "fig_to_gtc.csv",
                    "uri": "https:/data.glygen.org/ln2releases/data/v-2.7.1/misc/fig_to_gtc.csv"
                }
            },
            {
                "uri": {
                    "filename": "HG_FinnRisk.txt",
                    "uri": "https:/data.glygen.org/ln2downloads/zagreb/2024_04_18/HG_FinnRisk.txt"
                }
            }
        ]
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