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Semanticscience Integrated Ontology
How to cite this record: FAIRsharing.org: SIO; Semanticscience Integrated Ontology; DOI: https://doi.org/10.25504/FAIRsharing.dpkb5f; Last edited: Feb. 22, 2018, 2:09 p.m.; Last accessed: Mar 24 2018 7:45 a.m.
No XSD schemas defined
Conditions of UseApplies to: Data use
The Semanticscience Integrated Ontology (SIO) for biomedical research and knowledge discovery.
Dumontier M, Baker CJ, Baran J, Callahan A, Chepelev L, Cruz-Toledo J, Del Rio NR, Duck G, Furlong LI, Keath N, Klassen D, McCusker JP, Queralt-Rosinach N, Samwald M, Villanueva-Rosales N, Wilkinson MD, Hoehndorf R.
J Biomed Semantics 2014
View in BioPortal.
No guidelines defined
Models and Formats
No syntax standards defined
DisGeNET is a discovery platform containing one of the largest collections available of genes and variants involved in human diseases. DisGeNET integrates data from expert curated repositories, GWAS catalogues, animal models, and the scientific literature, and covers the whole landscape of human diseases. The current version (v4.0) contains 429,036 associations, between 17,381 genes and 15,093 diseases, disorders and clinical or abnormal human phenotypes, and 72,870 variant-disease associations between 46,589 SNPs and 6,356 diseases and phenotypes. The data are homogeneously annotated with controlled vocabularies and community-driven ontologies. Additionally, several original metrics are provided to assist the prioritization of genotype-phenotype relationships. The information is accessible through a web interface, a Cytoscape App, an RDF SPARQL endpoint, scripts in several programming languages, and an R package.
Bio2RDF is an open-source project that uses Semantic Web technologies to build and provide the largest network of Linked Data for the Life Sciences. Bio2RDF defines a set of simple conventions to create RDF(S) compatible Linked Data from a diverse set of heterogeneously formatted sources obtained from multiple data providers.
This record is not implemented by any policy.