Hetionet
Hetionet is an integrative network of biomedical knowledge assembled from 29 different databases of genes, compounds, diseases, and more. It combines over 50 years of biomedical information into a single resource.
[{"category": "Individual", "contact_details": [{"contact_type": "email", "value": "daniel.himmelstein@gmail.com"}, {"contact_type": "github", "value": "dhimmel"}], "label": "Daniel Himmelstein"}]
[{"category": "GraphicalInterface", "description": "Browser for complete Hetionet v1.0 graph database in Neo4j", "format": "http", "id": "hetionet.neo4j", "name": "Hetionet v1.0 Neo4j Database", "product_url": "https://neo4j.het.io/browser/"}, {"category": "GraphProduct", "description": "Hetionet v1.0 in JSON format", "format": "json", "id": "hetionet.data.json", "name": "Hetionet v1.0 JSON", "product_file_size": 131, "product_url": "https://github.com/hetio/hetionet/blob/master/hetnet/json/hetionet-v1.0.json.bz2"}, {"category": "GraphProduct", "description": "Hetionet v1.0 as a Neo4j database", "id": "hetionet.data.neo4j", "name": "Hetionet v1.0 Neo4j", "product_file_size": 132, "product_url": "https://github.com/hetio/hetionet/blob/master/hetnet/neo4j/hetionet-v1.0.db.tar.bz2"}, {"category": "GraphProduct", "description": "Hetionet v1.0 as SIF edges", "format": "sif", "id": "hetionet.data.edges", "name": "Hetionet v1.0 edges (SIF)", "product_file_size": 131, "product_url": "https://github.com/hetio/hetionet/blob/main/hetnet/tsv/hetionet-v1.0-edges.sif.gz"}, {"category": "GraphProduct", "description": "Hetionet v1.0 as TSV nodes", "format": "tsv", "id": "hetionet.data.nodes", "name": "Hetionet v1.0 nodes (TSV)", "product_file_size": 427128, "product_url": "https://github.com/hetio/hetionet/blob/main/hetnet/tsv/hetionet-v1.0-nodes.tsv"}, {"category": "ProcessProduct", "description": "Python package for creating, querying, and operating on hetnets (heterogeneous networks)", "id": "hetnetpy", "name": "hetnetpy", "product_url": "https://github.com/hetio/hetnetpy"}, {"category": "GraphicalInterface", "description": "Web application to search and explore connectivity between nodes in Hetionet", "format": "http", "id": "hetionet.search", "name": "Hetnet Connectivity Search", "product_url": "https://het.io/search"}, {"category": "GraphicalInterface", "description": "A browser interface for a knowledge graph for Alzheimer's Disease.", "format": "http", "id": "alzkb.browser", "name": "AlzKB Graph Database Browser", "original_source": ["aop-db", "bgee", "disgenet", "doid", "drugbank", "dsstox", "go", "gwascatalog", "hrpimp", "lincs-l1000", "mesh", "ncbigene", "pharmacotherapydb", "pid", "pubchem", "reactome", "sider", "tissues", "uberon", "wikipathways"], "product_url": "https://alzkb.ai:7473/login", "secondary_source": ["alzkb", "hetionet"]}, {"category": "GraphProduct", "description": "Memgraph data release for AlzKB.", "id": "alzkb.data", "name": "AlzKB Data Release (Version 2.0.0)", "original_source": ["aop-db", "bgee", "disgenet", "doid", "drugbank", "dsstox", "go", "gwascatalog", "hrpimp", "lincs-l1000", "mesh", "ncbigene", "pharmacotherapydb", "pid", "pubchem", "reactome", "reactome", "sider", "tissues", "uberon", "wikipathways"], "product_url": "https://github.com/EpistasisLab/AlzKB/releases/tag/v2.0.0", "secondary_source": ["alzkb", "hetionet"]}, {"description": "The MechRepoNet knowledge graph in its original format", "id": "mechreponet.kg", "name": "MechRepoNet Knowledge Graph", "original_source": ["ctd", "doid", "go", "chebi", "reactome", "interpro", "hp", "cl", "pr", "uberon", "ncbitaxon", "hetionet", "complexportal", "rnacentral", "mirtarbase", "unii", "biolink"], "product_url": "https://github.com/SuLab/MechRepoNet/releases/tag/publication", "secondary_source": ["mechreponet"]}, {"category": "GraphProduct", "description": "Hetio Automat", "format": "kgx-jsonl", "id": "automat.hetio", "name": "hetio_automat", "original_source": ["hetionet"], "product_url": "https://stars.renci.org/var/plater/bl-4.2.1/Hetio_Automat/85a5f53e63150e1e/", "secondary_source": ["automat"]}]
{"activity_status": "active", "category": "KnowledgeGraph", "contacts": [{"category": "Individual", "contact_details": [{"contact_type": "email", "value": "daniel.himmelstein@gmail.com"}, {"contact_type": "github", "value": "dhimmel"}], "label": "Daniel Himmelstein"}], "description": "Hetionet is an integrative network of biomedical knowledge assembled from 29 different databases of genes, compounds, diseases, and more. It combines over 50 years of biomedical information into a single resource.", "domains": ["biomedical", "drug discovery", "genomics", "health", "biological systems"], "evaluation_page": "resource/hetionet/hetionet_eval.html", "homepage_url": "https://het.io/", "id": "hetionet", "infores_id": "hetionet", "layout": "resource_detail", "license": {"id": "https://creativecommons.org/licenses/by/4.0/", "label": "CC BY 4.0", "logo": "http://mirrors.creativecommons.org/presskit/buttons/80x15/png/by.png"}, "name": "Hetionet", "products": [{"category": "GraphicalInterface", "description": "Browser for complete Hetionet v1.0 graph database in Neo4j", "format": "http", "id": "hetionet.neo4j", "name": "Hetionet v1.0 Neo4j Database", "product_url": "https://neo4j.het.io/browser/"}, {"category": "GraphProduct", "description": "Hetionet v1.0 in JSON format", "format": "json", "id": "hetionet.data.json", "name": "Hetionet v1.0 JSON", "product_file_size": 131, "product_url": "https://github.com/hetio/hetionet/blob/master/hetnet/json/hetionet-v1.0.json.bz2"}, {"category": "GraphProduct", "description": "Hetionet v1.0 as a Neo4j database", "id": "hetionet.data.neo4j", "name": "Hetionet v1.0 Neo4j", "product_file_size": 132, "product_url": "https://github.com/hetio/hetionet/blob/master/hetnet/neo4j/hetionet-v1.0.db.tar.bz2"}, {"category": "GraphProduct", "description": "Hetionet v1.0 as SIF edges", "format": "sif", "id": "hetionet.data.edges", "name": "Hetionet v1.0 edges (SIF)", "product_file_size": 131, "product_url": "https://github.com/hetio/hetionet/blob/main/hetnet/tsv/hetionet-v1.0-edges.sif.gz"}, {"category": "GraphProduct", "description": "Hetionet v1.0 as TSV nodes", "format": "tsv", "id": "hetionet.data.nodes", "name": "Hetionet v1.0 nodes (TSV)", "product_file_size": 427128, "product_url": "https://github.com/hetio/hetionet/blob/main/hetnet/tsv/hetionet-v1.0-nodes.tsv"}, {"category": "ProcessProduct", "description": "Python package for creating, querying, and operating on hetnets (heterogeneous networks)", "id": "hetnetpy", "name": "hetnetpy", "product_url": "https://github.com/hetio/hetnetpy"}, {"category": "GraphicalInterface", "description": "Web application to search and explore connectivity between nodes in Hetionet", "format": "http", "id": "hetionet.search", "name": "Hetnet Connectivity Search", "product_url": "https://het.io/search"}, {"category": "GraphicalInterface", "description": "A browser interface for a knowledge graph for Alzheimer's Disease.", "format": "http", "id": "alzkb.browser", "name": "AlzKB Graph Database Browser", "original_source": ["aop-db", "bgee", "disgenet", "doid", "drugbank", "dsstox", "go", "gwascatalog", "hrpimp", "lincs-l1000", "mesh", "ncbigene", "pharmacotherapydb", "pid", "pubchem", "reactome", "sider", "tissues", "uberon", "wikipathways"], "product_url": "https://alzkb.ai:7473/login", "secondary_source": ["alzkb", "hetionet"]}, {"category": "GraphProduct", "description": "Memgraph data release for AlzKB.", "id": "alzkb.data", "name": "AlzKB Data Release (Version 2.0.0)", "original_source": ["aop-db", "bgee", "disgenet", "doid", "drugbank", "dsstox", "go", "gwascatalog", "hrpimp", "lincs-l1000", "mesh", "ncbigene", "pharmacotherapydb", "pid", "pubchem", "reactome", "reactome", "sider", "tissues", "uberon", "wikipathways"], "product_url": "https://github.com/EpistasisLab/AlzKB/releases/tag/v2.0.0", "secondary_source": ["alzkb", "hetionet"]}, {"description": "The MechRepoNet knowledge graph in its original format", "id": "mechreponet.kg", "name": "MechRepoNet Knowledge Graph", "original_source": ["ctd", "doid", "go", "chebi", "reactome", "interpro", "hp", "cl", "pr", "uberon", "ncbitaxon", "hetionet", "complexportal", "rnacentral", "mirtarbase", "unii", "biolink"], "product_url": "https://github.com/SuLab/MechRepoNet/releases/tag/publication", "secondary_source": ["mechreponet"]}, {"category": "GraphProduct", "description": "Hetio Automat", "format": "kgx-jsonl", "id": "automat.hetio", "name": "hetio_automat", "original_source": ["hetionet"], "product_url": "https://stars.renci.org/var/plater/bl-4.2.1/Hetio_Automat/85a5f53e63150e1e/", "secondary_source": ["automat"]}], "publications": [{"authors": ["Daniel S Himmelstein", "Michael Zietz", "Vincent Rubinetti", "Kyle Kloster", "Benjamin J Heil", "Faisal Alquaddoomi", "Dongbo Hu", "David N Nicholson", "Yun Hao", "Blair D Sullivan", "Michael W Nagle", "Casey S Greene"], "doi": "doi:10.1093/gigascience/giad047", "id": "https://doi.org/10.1093/gigascience/giad047", "journal": "GigaScience", "title": "Hetnet connectivity search provides rapid insights into how biomedical entities are related", "year": "2023"}], "repository": "https://github.com/hetio/hetionet", "taxon": ["NCBITaxon:9606"]}