How to cite this record FAIRsharing.org: IxnO; Interaction Ontology; DOI: https://doi.org/10.25504/FAIRsharing.ya2wjp; Last edited: Feb. 27, 2020, 11:23 a.m.; Last accessed: Jun 06 2020 1:30 a.m.
Record updated: Feb. 26, 2020, 4:12 p.m. by The FAIRsharing Team.
Edits to 'https://fairsharing.org/FAIRsharing.ya2wjp' by 'The FAIRsharing Team' at 16:12, 26 Feb 2020 (approved): 'yearOfCreation' has been modified: Before: None After: 2010
Edits to 'https://fairsharing.org/FAIRsharing.ya2wjp' by 'The FAIRsharing Team' at 14:34, 02 Dec 2019 (approved): 'onto_disciplines' has been modified: Before: Biomedical Science Environmental Science Health Science Medicine After: Biomedical Science Environmental Science Health Science Medicine Ontology and Terminology Added: Ontology and Terminology Removed: 'miriam_id' has been modified: Before: None After: 'contactORCID' has been modified: Before: After: 0000-0002-2146-9436
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The Comparative Toxicogenomics Database (CTD) advances understanding of the effects of environmental chemicals on human health. Biocurators manually curate chemical-gene, chemical-disease, and gene-disease relationships from the scientific literature. This core data is then internally integrated to generate inferred chemical-gene-disease networks. Additionally, the core data is integrated with external data sets (such as Gene Ontology and pathway annotations) to predict many novel associations between different data types. A unique and powerful feature of CTD is the inferred relationships generated by data integration that helps turn knowledge into discoveries by identifying novel connections between chemicals, genes, diseases, pathways, and GO annotations that might not otherwise be apparent using other biological resources.
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