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DisGeNET: a discovery platform for the dynamical exploration of human diseases and their genes
DisGeNET is a comprehensive discovery platform designed to address a variety of questions concerning the genetic underpinning of human diseases. DisGeNET contains over 380 000 associations between >16 000 genes and 13 000 diseases, which makes it one of the largest repositories currently availabl...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4397996/ https://www.ncbi.nlm.nih.gov/pubmed/25877637 http://dx.doi.org/10.1093/database/bav028 |
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author | Piñero, Janet Queralt-Rosinach, Núria Bravo, Àlex Deu-Pons, Jordi Bauer-Mehren, Anna Baron, Martin Sanz, Ferran Furlong, Laura I. |
author_facet | Piñero, Janet Queralt-Rosinach, Núria Bravo, Àlex Deu-Pons, Jordi Bauer-Mehren, Anna Baron, Martin Sanz, Ferran Furlong, Laura I. |
author_sort | Piñero, Janet |
collection | PubMed |
description | DisGeNET is a comprehensive discovery platform designed to address a variety of questions concerning the genetic underpinning of human diseases. DisGeNET contains over 380 000 associations between >16 000 genes and 13 000 diseases, which makes it one of the largest repositories currently available of its kind. DisGeNET integrates expert-curated databases with text-mined data, covers information on Mendelian and complex diseases, and includes data from animal disease models. It features a score based on the supporting evidence to prioritize gene-disease associations. It is an open access resource available through a web interface, a Cytoscape plugin and as a Semantic Web resource. The web interface supports user-friendly data exploration and navigation. DisGeNET data can also be analysed via the DisGeNET Cytoscape plugin, and enriched with the annotations of other plugins of this popular network analysis software suite. Finally, the information contained in DisGeNET can be expanded and complemented using Semantic Web technologies and linked to a variety of resources already present in the Linked Data cloud. Hence, DisGeNET offers one of the most comprehensive collections of human gene-disease associations and a valuable set of tools for investigating the molecular mechanisms underlying diseases of genetic origin, designed to fulfill the needs of different user profiles, including bioinformaticians, biologists and health-care practitioners. Database URL: http://www.disgenet.org/ |
format | Online Article Text |
id | pubmed-4397996 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-43979962015-04-16 DisGeNET: a discovery platform for the dynamical exploration of human diseases and their genes Piñero, Janet Queralt-Rosinach, Núria Bravo, Àlex Deu-Pons, Jordi Bauer-Mehren, Anna Baron, Martin Sanz, Ferran Furlong, Laura I. Database (Oxford) Database Tool DisGeNET is a comprehensive discovery platform designed to address a variety of questions concerning the genetic underpinning of human diseases. DisGeNET contains over 380 000 associations between >16 000 genes and 13 000 diseases, which makes it one of the largest repositories currently available of its kind. DisGeNET integrates expert-curated databases with text-mined data, covers information on Mendelian and complex diseases, and includes data from animal disease models. It features a score based on the supporting evidence to prioritize gene-disease associations. It is an open access resource available through a web interface, a Cytoscape plugin and as a Semantic Web resource. The web interface supports user-friendly data exploration and navigation. DisGeNET data can also be analysed via the DisGeNET Cytoscape plugin, and enriched with the annotations of other plugins of this popular network analysis software suite. Finally, the information contained in DisGeNET can be expanded and complemented using Semantic Web technologies and linked to a variety of resources already present in the Linked Data cloud. Hence, DisGeNET offers one of the most comprehensive collections of human gene-disease associations and a valuable set of tools for investigating the molecular mechanisms underlying diseases of genetic origin, designed to fulfill the needs of different user profiles, including bioinformaticians, biologists and health-care practitioners. Database URL: http://www.disgenet.org/ Oxford University Press 2015-04-15 /pmc/articles/PMC4397996/ /pubmed/25877637 http://dx.doi.org/10.1093/database/bav028 Text en © The Author(s) 2015. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Tool Piñero, Janet Queralt-Rosinach, Núria Bravo, Àlex Deu-Pons, Jordi Bauer-Mehren, Anna Baron, Martin Sanz, Ferran Furlong, Laura I. DisGeNET: a discovery platform for the dynamical exploration of human diseases and their genes |
title | DisGeNET: a discovery platform for the dynamical exploration of human diseases and their genes |
title_full | DisGeNET: a discovery platform for the dynamical exploration of human diseases and their genes |
title_fullStr | DisGeNET: a discovery platform for the dynamical exploration of human diseases and their genes |
title_full_unstemmed | DisGeNET: a discovery platform for the dynamical exploration of human diseases and their genes |
title_short | DisGeNET: a discovery platform for the dynamical exploration of human diseases and their genes |
title_sort | disgenet: a discovery platform for the dynamical exploration of human diseases and their genes |
topic | Database Tool |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4397996/ https://www.ncbi.nlm.nih.gov/pubmed/25877637 http://dx.doi.org/10.1093/database/bav028 |
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