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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...

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Autores principales: Piñero, Janet, Queralt-Rosinach, Núria, Bravo, Àlex, Deu-Pons, Jordi, Bauer-Mehren, Anna, Baron, Martin, Sanz, Ferran, Furlong, Laura I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
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/
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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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