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

dc.contributor.author
Queralt Rosinach, Núria
dc.contributor.author
Piñero González, Janet, 1977-
dc.contributor.author
Bravo Serrano, Àlex, 1984-
dc.contributor.author
Sanz, Ferran
dc.contributor.author
Furlong, Laura I., 1971-
dc.date.issued
2016-09-09T09:58:07Z
dc.date.issued
2016-09-09T09:58:07Z
dc.date.issued
2016
dc.identifier
Queralt-Rosinach N, Piñero J, Bravo À, Sanz F, Furlong LI. DisGeNET-RDF: harnessing the innovative power of the Semantic Web to explore the genetic basis of diseases. Bioinformatics. 2016 Jul 15;32(14):2236-8. DOI: 10.1093/bioinformatics/btw214
dc.identifier
1367-4803
dc.identifier
http://hdl.handle.net/10230/27282
dc.identifier
http://dx.doi.org/10.1093/bioinformatics/btw214
dc.description.abstract
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.
dc.description.abstract
We received support from ISCIII-FEDER (PI13/00082, CP10/00524), from the IMI-JU under grants agreements no. 115002 (eTOX), no. 115191 (Open PHACTS), no. 115372 (EMIF) and no. 115735 (iPiE), resources of which are composed of financial contribution from the European Union’s Seventh Framework Programme (FP7/2007–2013) and EFPIA companies’ in kind contribution, and the EU H2020 Programme 2014–2020 under grant agreements no. 634143 (MedBioinformatics) and no. 676559 (Elixir-Excelerate). The Research Programme on Biomedical Informatics (GRIB) is a node of the Spanish National Institute of Bioinformatics (INB).
dc.format
application/pdf
dc.format
application/pdf
dc.language
eng
dc.publisher
Oxford University Press 
dc.relation
Bioinformatics. 2016 Jul 15;32(14):2236-8
dc.relation
info:eu-repo/grantAgreement/EC/FP7/115002
dc.relation
info:eu-repo/grantAgreement/EC/FP7/115191
dc.relation
info:eu-repo/grantAgreement/EC/FP7/115372
dc.relation
info:eu-repo/grantAgreement/EC/FP7/115735
dc.rights
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/),/nwhich permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact/njournals.permissions@oup.com
dc.rights
https://creativecommons.org/licenses/by-nc/4.0/
dc.rights
info:eu-repo/semantics/openAccess
dc.subject
Genètica humana
dc.subject
Bases de dades
dc.title
DisGeNET-RDF: harnessing the innovative power of the Semantic Web to explore the genetic basis of diseases.
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion


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