name: Petagraph
description: Petagraph is a large-scale biomedical knowledge graph that encompasses over 32 million nodes and 118 million relationships, integrating multi-omics and clinical data. Built on the Unified Biomedical Knowledge Graph (UBKG), Petagraph leverages more than 180 ontologies and standards to embed millions of quantitative genomics data points within a richly connected annotation environment.
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raw_data: {"activity_status": "active", "category": "KnowledgeGraph", "contacts": [{"category": "Individual", "contact_details": [{"contact_type": "github", "value": "taylordm"}, {"contact_type": "email", "value": "taylordm@chop.edu"}], "label": "Deanne M. Taylor"}, {"category": "Organization", "contact_details": [{"contact_type": "github", "value": "TaylorResearchLab"}, {"contact_type": "url", "value": "https://taylorlab.chop.edu/"}], "label": "Taylor Research Lab"}], "description": "Petagraph is a large-scale biomedical knowledge graph that encompasses over 32 million nodes and 118 million relationships, integrating multi-omics and clinical data. Built on the Unified Biomedical Knowledge Graph (UBKG), Petagraph leverages more than 180 ontologies and standards to embed millions of quantitative genomics data points within a richly connected annotation environment.", "domains": ["health", "biomedical", "genomics"], "evaluation_page": "resource/petagraph/petagraph_eval.html", "homepage_url": "https://github.com/TaylorResearchLab/Petagraph", "id": "petagraph", "layout": "resource_detail", "license": {"id": "https://www.nlm.nih.gov/databases/umls.html", "label": "UMLS License Agreement"}, "name": "Petagraph", "products": [{"category": "GraphProduct", "description": "A comprehensive multi-omics biomedical knowledge graph connecting genomic, transcriptomic, proteomic, and clinical data. Contains over 32 million nodes and 118 million relationships.", "dump_format": "neo4j", "edge_count": 118000000, "id": "petagraph.graph", "name": "Petagraph Knowledge Graph (Neo4J)", "node_count": 32000000, "original_source": ["ubkg"], "product_url": "https://ubkg-downloads.xconsortia.org/", "secondary_source": ["petagraph"]}], "publications": [{"authors": ["Benjamin J. Stear", "Taha Mohseni Ahooyi", "J. Alan Simmons", "Charles Kollar", "Lance Hartman", "Katherine Beigel", "Aditya Lahiri", "Shubha Vasisht", "Tiffany J. Callahan", "Christopher M. Nemarich", "Jonathan C. Silverstein", "Deanne M. Taylor"], "doi": "doi:10.1038/s41597-024-04070-w", "id": "https://doi.org/10.1038/s41597-024-04070-w", "journal": "Scientific Data", "preferred": true, "title": "Petagraph: A large-scale unifying knowledge graph framework for integrating biomolecular and biomedical data", "year": "2024"}], "repository": "https://github.com/TaylorResearchLab/Petagraph"}