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DisGeNET-RDF: harnessing the innovative power of the Semantic Web to explore the genetic basis of diseases
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 int...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4937199/ https://www.ncbi.nlm.nih.gov/pubmed/27153650 http://dx.doi.org/10.1093/bioinformatics/btw214 |
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author | Queralt-Rosinach, Núria Piñero, Janet Bravo, Àlex Sanz, Ferran Furlong, Laura I. |
author_facet | Queralt-Rosinach, Núria Piñero, Janet Bravo, Àlex Sanz, Ferran Furlong, Laura I. |
author_sort | Queralt-Rosinach, Núria |
collection | PubMed |
description | 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. Availability and implementation: http://rdf.disgenet.org/ Contact: support@disgenet.org |
format | Online Article Text |
id | pubmed-4937199 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-49371992016-07-11 DisGeNET-RDF: harnessing the innovative power of the Semantic Web to explore the genetic basis of diseases Queralt-Rosinach, Núria Piñero, Janet Bravo, Àlex Sanz, Ferran Furlong, Laura I. Bioinformatics Applications Notes 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. Availability and implementation: http://rdf.disgenet.org/ Contact: support@disgenet.org Oxford University Press 2016-07-15 2016-03-22 /pmc/articles/PMC4937199/ /pubmed/27153650 http://dx.doi.org/10.1093/bioinformatics/btw214 Text en © The Author 2016. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ 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/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Applications Notes Queralt-Rosinach, Núria Piñero, Janet Bravo, Àlex Sanz, Ferran Furlong, Laura I. DisGeNET-RDF: harnessing the innovative power of the Semantic Web to explore the genetic basis of diseases |
title | DisGeNET-RDF: harnessing the innovative power of the Semantic Web to explore the genetic basis of diseases |
title_full | DisGeNET-RDF: harnessing the innovative power of the Semantic Web to explore the genetic basis of diseases |
title_fullStr | DisGeNET-RDF: harnessing the innovative power of the Semantic Web to explore the genetic basis of diseases |
title_full_unstemmed | DisGeNET-RDF: harnessing the innovative power of the Semantic Web to explore the genetic basis of diseases |
title_short | DisGeNET-RDF: harnessing the innovative power of the Semantic Web to explore the genetic basis of diseases |
title_sort | disgenet-rdf: harnessing the innovative power of the semantic web to explore the genetic basis of diseases |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4937199/ https://www.ncbi.nlm.nih.gov/pubmed/27153650 http://dx.doi.org/10.1093/bioinformatics/btw214 |
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