DisGeNET-RDF: harnessing the innovative power of the Semantic Web to explore the genetic basis of diseases.
Where this comes from
- Record sourced from PubMed, PMID 27153650.
- Also identified by DOI 10.1093/bioinformatics/btw214 and PMC identifier 4937199.
- Licence recorded as CC BY-NC.
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Abstract
DisGeNET-RDF makes available knowledge on the genetic basis of human diseases in the Semantic Web. Gene-disease associations (GDAs) and their provenance metadata are published as human-readable and machine-processable web resources. The information on GDAs included in DisGeNET-RDF is interlinked to other biomedical databases to support the development of bioinformatics approaches for translational research through evidence-based exploitation of a rich and fully interconnected linked open data. http://rdf.disgenet.org/ support@disgenet.org.
Medical subject headings
- Computational Biology
- Disease
- Semantics