Nov 26, 2015

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

BioRxiv : the Preprint Server for Biology
Nuria Queralt RosinachLaura I Furlong

Abstract

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 Linked Open Data (LOD).

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Mentioned in this Paper

Bio-Informatics
Gene Type
Translational Research
Lipid Droplet Associated Proteins
Genetic Translation Process
Biomedicine
Gda protein, rat
Motivation
Metadata
Gene Flow

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