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        "license": "The George Washington University",
        "created": "2021-10-15T15:41:22.561828",
        "modified": "2025-03-11T20:36:07.761Z",
        "contributors": [
            {
                "email": "jeetvora@gwu.edu",
                "contribution": [
                    "createdBy"
                ]
            },
            {
                "affiliation": "The George Washington University",
                "contribution": [
                    "createdBy"
                ],
                "name": "Karina Martinez",
                "email": "karinamartinez@gwu.edu"
            },
            {
                "name": "Luke Johnson",
                "affiliation": "The George Washington University",
                "contribution": [
                    "createdBy"
                ],
                "email": "luke.johnson@email.gwu.edu"
            },
            {
                "name": "Urnisha Bhuiyan",
                "affiliation": "The George Washington University",
                "contribution": [
                    "createdBy"
                ],
                "email": "sbhuiyan28@email.gwu.edu"
            },
            {
                "name": "Cyrus Au-Yeung",
                "affiliation": "The George Washington University",
                "contribution": [
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                ],
                "email": "cyruschauyeung@gwu.edu"
            },
            {
                "name": "Kate Warner",
                "affiliation": "The George Washington University",
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                ],
                "email": "k.warner1@gwu.edu"
            }
        ]
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        "The Rat Germline Mutation GlycoEffect Dataset was derived from the Germline Mutation Dataset provided by the European Bioinformatics Institute (EBI) and dbSNP for Rattus norvegicus  [TaxID: 10116]. This dataset is processed from the Germline Mutation Dataset and is useful in context of glycosylation. The dataset, for a given germline mutation site, indicates whether the protein with the germline SNV is a known glycoprotein. Additionally, it provides reference and altered motifs for the mutated glycosylated site and assesses the impact of the SNV on glycosylation. The observed effects include the loss of known O- and N-glycosites and the gain of an N-sequon, which may introduce a new N-glycosylation site. The following headers have been added as part of this analysis: is_known_glycoprotein, motif_start, ref_motif, alt_motif, and effect."
    ],
    "parametric_domain": [
        {
            "value": ""
        }
    ],
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                    "filename": "rat_protein_mutation_germline_glycoeffect.csv"
                }
            },
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                "uri": {
                    "uri": "https:/data.glygen.org/ln2releases/data/v-2.8.1/reviewed/rat_protein_mutation_germline_glycoeffect.stat.csv",
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                }
            }
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                "uri": {
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                }
            },
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                "uri": {
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                    "uri": "https:/data.glygen.org/ln2releases/data/v-2.8.1/reviewed/rat_protein_mutation_germline.csv"
                }
            },
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                    "uri": "https:/data.glygen.org/ln2releases/data/v-2.8.1/misc/aadict.csv"
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                "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": "Rattus norvegicus",
                        "category_name": "species"
                    },
                    {
                        "category_value": "Protein",
                        "category_name": "molecule"
                    },
                    {
                        "category_value": "Germline Mutation Glycoeffect",
                        "category_name": "tag"
                    },
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