DisGeNET-RDF: harnessing the innovative power of the Semantic Web to explore the genetic basis of diseases

作者：Queralt Rosinach Nuria; Pinero Janet; Bravo Alex; Sanz Ferran; Furlong Laura I

来源：Bioinformatics, 2016, 32(14): 2236-2238.

DOI：10.1093/bioinformatics/btw214

<jats:title>Abstract</jats:title>
<jats:p>Motivation: 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.</jats:p>
<jats:p>Availability and implementation:  http://rdf.disgenet.org/</jats:p>
<jats:p>Contact:  [e-mail]</jats:p>

• 出版日期2016-7-15