{ "bcoid": "GLY_001537", "title": "All Human Cancer Mutations", "description": "The Human Cancer Mutation dataset contains all Homo sapiens [taxid:9606] mutation data from the BioMuta ...", "filename_list": "human_protein_mutation_cancer_all.csv", "filename": "human_protein_mutation_cancer_all.csv", "filetype": "csv", "categories": { "species": [ "Homo sapiens" ], "molecule": [ "Protein" ], "tag": [ "Somatic Cancer Mutations" ], "file_type": [ "csv" ], "status": [ "Reviewed" ], "scope": [ "internal" ], "file_category": [ "mutation_" ] }, "minitable": { "content": [ [ "P42345-1...", "2327..." ], [ "P42345-1...", "2215..." ] ], "headers": [ "uniprotkb_ca...", "aa_pos..." ], "colwidth": [ "40%", "20%" ] }, "sampledata": { "type": "table", "data": [ [ { "type": "string", "label": "uniprotkb_canonical_ac" }, { "type": "string", "label": "aa_pos" }, { "type": "string", "label": "ref_aa" }, { "type": "string", "label": "alt_aa" }, { "type": "string", "label": "chr_id" }, { "type": "string", "label": "chr_start_pos" }, { "type": "string", "label": "chr_end_pos" }, { "type": "string", "label": "ref_nt" }, { "type": "string", "label": "alt_nt" }, { "type": "string", "label": "patients_positive" }, { "type": "string", "label": "patients_tested" }, { "type": "string", "label": "mut_freq" }, { "type": "string", "label": "data_source" }, { "type": "string", "label": "do_id" }, { "type": "string", "label": "do_name" }, { "type": "string", "label": "xref_key" }, { "type": "string", "label": "xref_id" }, { "type": "string", "label": "filter_flags" }, { "type": "string", "label": "glyco_annotation" }, { "type": "string", "label": "mim_id" }, { "type": "string", "label": "somatic_status" }, { "type": "string", "label": "minor_allelic_frequency" }, { "type": "string", "label": "protein_class" } ], [ "P42345-1", "2327", "M", "I", "1", "11117039", "11117039", "C", "A", "0", "0", "0.0", "civic", "1612", "DOID:1612 / breast cancer", "protein_xref_biomuta", "P42345", "No filters applied", "glycancount:0, pmidcount:0", "", "1", "", "none" ], [ "P42345-1", "2215", "S", "Y", "1", "11124516", "11124516", "G", "T", "0", "0", "0.0", "civic", "363", "DOID:363 / uterine cancer", "protein_xref_biomuta", "P42345", "No filters applied", "glycancount:0, pmidcount:0", "", "1", "", "none" ] ] }, "readme": "Name\n - All Human Cancer Mutations\n\nVersion\n - v-2.12.1\n\nCreated on\n - 2026-07-08T10:23:14\n\nModified on\n - 2026-07-08T10:30:07.409Z\n\nCreated by\n - Jeet Vora [jeetvora@gwu.edu], Robel Kahsay [rykahsay@gwu.edu], Karina Martinez [karinamartinez@gwu.edu], Luke Johnson [luke.johnson@email.gwu.edu], Urnisha Bhuiyan [sbhuiyan28@email.gwu.edu], Cyrus Au-Yeung [cyruschauyeung@gwu.edu], Kate Warner [k.warner1@gwu.edu], Mariia Kim [maria.kim@gwu.edu]\n\nAuthors\n - \n\nChecksum\n - \n\nUsability Domain\n - The Human Cancer Mutation dataset contains all Homo sapiens [taxid:9606] mutation data from the BioMuta database (https://hive.biochemistry.gwu.edu/biomuta). The BioMuta pipeline documentation can be found on the HIVE Lab Wiki: https://hivelab.biochemistry.gwu.edu/wiki/BioMuta_pipeline_README.\n - The current version of BioMuta contains only nonsynonymous single-nucleotide variations (nsSNVs) associated with cancer.\n - BioMuta is a single-nucleotide variation (SNV) and disease association database where variations are mapped to genomes and NCBI RefSeq nucleotide entries, and unified through UniProtKB/Swiss-Prot positional coordinates.\n - The dataset is imported and contributed by BioMuta and processed by GlyGen. If you use this dataset, please provide proper attribution to BioMuta and GlyGen.\n - Note that unlike the human_protein_mutation_cancer.csv dataset (GLY_000024), no filters or criteria for inclusion is applied - all mutations are provided.\n - If there is also a germline mutation reported in dbSNP, the rsid is also shown. Two different DO child terms are merged into one single entry showing the parent cancer DO term from the DO cancer slim.\n\nDescription Domain\n Keywords\n - single-nucleotide variations (nsSNVs)\n - cancer mutations\n - BioMuta\n - disease\n\n Pipeline Steps\n - Step-1: The script extracts the mutation data from the BioMuta and maps the UniProtKB accession to the UniProtKB canonical accessions as per the criterias\n\nExecution Domain\n Scripts - https://github.com/glygener/glygen-backend-integration/blob/master/dataset-maker/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: glycan_masterlist.csv\n URI: https:/data.glygen.org/ln2releases/data/v-2.12.1/reviewed/glycan_masterlist.csv\n Name: human_protein_gene_groups.csv\n URI: https:/data.glygen.org/ln2releases/data/v-2.12.1/reviewed/human_protein_gene_groups.csv\n Name: human_protein_masterlist.csv\n URI: https:/data.glygen.org/ln2releases/data/v-2.12.1/reviewed/human_protein_masterlist.csv\n Name: human_protein_mutation_literature.csv\n URI: https:/data.glygen.org/ln2releases/data/v-2.12.1/reviewed/human_protein_mutation_literature.csv\n Name: protein_disease_idmap.csv\n URI: https:/data.glygen.org/ln2releases/data/v-2.12.1/reviewed/protein_disease_idmap.csv\n Name: aadict.csv\n URI: https:/data.glygen.org/ln2releases/data/v-2.12.1/misc/aadict.csv\n Name: biomuta.csv\n URI: https:/data.glygen.org/ln2downloads/biomuta/2025_05_27/biomuta.csv\n Name: clinical_information.csv\n URI: https:/data.glygen.org/ln2downloads/biomuta/2025_05_27/clinical_information.csv\n Name: dbSNP-homo-sapiens.tsv\n URI: https:/data.glygen.org/ln2downloads/ebi/2026_06_13/dbSNP-homo-sapiens.tsv\n Output Subdomain\n Name: human_protein_mutation_cancer_all.csv\n URI: https:/data.glygen.org/ln2releases/data/v-2.12.1/reviewed/human_protein_mutation_cancer_all.csv\n Name: human_protein_mutation_cancer_all.stat.csv\n URI: https:/data.glygen.org/ln2releases/data/v-2.12.1/reviewed/human_protein_mutation_cancer_all.stat.csv\n\nFields\n Name: \"uniprotkb_canonical_ac\"\"\n Description: \"\"\n Unique Values: \"19268\"", "downloadurl": "/ln2data/releases/data/v-2.12.1/reviewed/human_protein_mutation_cancer_all.csv" }