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

Mostra el registre complet Registre parcial de l'ítem

  • dc.contributor.author Queralt Rosinach, Núriaca
  • dc.contributor.author Piñero González, Janet, 1977-ca
  • dc.contributor.author Bravo Serrano, Àlex, 1984-ca
  • dc.contributor.author Sanz, Ferranca
  • dc.contributor.author Furlong, Laura I., 1971-ca
  • dc.date.accessioned 2016-09-09T09:58:07Z
  • dc.date.available 2016-09-09T09:58:07Z
  • dc.date.issued 2016
  • 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.ca
  • dc.description.sponsorship 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.mimetype application/pdfca
  • dc.identifier.citation 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/btw214ca
  • dc.identifier.doi http://dx.doi.org/10.1093/bioinformatics/btw214
  • dc.identifier.issn 1367-4803
  • dc.identifier.uri http://hdl.handle.net/10230/27282
  • dc.language.iso engca
  • dc.publisher Oxford University Press ca
  • dc.relation.ispartof Bioinformatics. 2016 Jul 15;32(14):2236-8
  • dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/115002
  • dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/115191
  • dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/115372
  • dc.relation.projectID 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.comca
  • dc.rights.accessRights info:eu-repo/semantics/openAccessca
  • dc.rights.uri https://creativecommons.org/licenses/by-nc/4.0/ca
  • dc.subject.other Genètica humanaca
  • dc.subject.other Bases de dadesca
  • dc.title DisGeNET-RDF: harnessing the innovative power of the Semantic Web to explore the genetic basis of diseases.ca
  • dc.type info:eu-repo/semantics/articleca
  • dc.type.version info:eu-repo/semantics/publishedVersionca

Col·leccions

Articles (Hospital del Mar Research Institute)
Articles (Departament de Medicina i Ciències de la Vida)