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

@article{QueraltRosinach2015DisGeNETRDFHT,
  title={DisGeNET-RDF: harnessing the innovative power of the Semantic Web to explore the genetic basis of diseases},
  author={N{\'u}ria Queralt Rosinach and Janet Pi{\~n}ero and {\`A}lex Bravo Serrano and Ferran Sanz and Laura In{\'e}s Furlong},
  journal={Bioinformatics},
  year={2015},
  volume={32},
  pages={2236 - 2238}
}
Motivation DisGeNET-RDF makes available knowledge on the genetic basis of human diseases in the Semantic Web (SW). 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… 

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  • 0 International license not peer-reviewed) is the author/funder. It is made available under a The copyright holder for this preprint (which was
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