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Disease Ontology 2015 update: an expanded and updated database of human diseases for linking biomedical knowledge through disease data
The current version of the Human Disease Ontology (DO) (http://www.disease-ontology.org) database expands the utility of the ontology for the examination and comparison of genetic variation, phenotype, protein, drug and epitope data through the lens of human disease. DO is a biomedical resource of s...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4383880/ https://www.ncbi.nlm.nih.gov/pubmed/25348409 http://dx.doi.org/10.1093/nar/gku1011 |
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author | Kibbe, Warren A. Arze, Cesar Felix, Victor Mitraka, Elvira Bolton, Evan Fu, Gang Mungall, Christopher J. Binder, Janos X. Malone, James Vasant, Drashtti Parkinson, Helen Schriml, Lynn M. |
author_facet | Kibbe, Warren A. Arze, Cesar Felix, Victor Mitraka, Elvira Bolton, Evan Fu, Gang Mungall, Christopher J. Binder, Janos X. Malone, James Vasant, Drashtti Parkinson, Helen Schriml, Lynn M. |
author_sort | Kibbe, Warren A. |
collection | PubMed |
description | The current version of the Human Disease Ontology (DO) (http://www.disease-ontology.org) database expands the utility of the ontology for the examination and comparison of genetic variation, phenotype, protein, drug and epitope data through the lens of human disease. DO is a biomedical resource of standardized common and rare disease concepts with stable identifiers organized by disease etiology. The content of DO has had 192 revisions since 2012, including the addition of 760 terms. Thirty-two percent of all terms now include definitions. DO has expanded the number and diversity of research communities and community members by 50+ during the past two years. These community members actively submit term requests, coordinate biomedical resource disease representation and provide expert curation guidance. Since the DO 2012 NAR paper, there have been hundreds of term requests and a steady increase in the number of DO listserv members, twitter followers and DO website usage. DO is moving to a multi-editor model utilizing Protégé to curate DO in web ontology language. This will enable closer collaboration with the Human Phenotype Ontology, EBI's Ontology Working Group, Mouse Genome Informatics and the Monarch Initiative among others, and enhance DO's current asserted view and multiple inferred views through reasoning. |
format | Online Article Text |
id | pubmed-4383880 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-43838802015-04-08 Disease Ontology 2015 update: an expanded and updated database of human diseases for linking biomedical knowledge through disease data Kibbe, Warren A. Arze, Cesar Felix, Victor Mitraka, Elvira Bolton, Evan Fu, Gang Mungall, Christopher J. Binder, Janos X. Malone, James Vasant, Drashtti Parkinson, Helen Schriml, Lynn M. Nucleic Acids Res Database Issue The current version of the Human Disease Ontology (DO) (http://www.disease-ontology.org) database expands the utility of the ontology for the examination and comparison of genetic variation, phenotype, protein, drug and epitope data through the lens of human disease. DO is a biomedical resource of standardized common and rare disease concepts with stable identifiers organized by disease etiology. The content of DO has had 192 revisions since 2012, including the addition of 760 terms. Thirty-two percent of all terms now include definitions. DO has expanded the number and diversity of research communities and community members by 50+ during the past two years. These community members actively submit term requests, coordinate biomedical resource disease representation and provide expert curation guidance. Since the DO 2012 NAR paper, there have been hundreds of term requests and a steady increase in the number of DO listserv members, twitter followers and DO website usage. DO is moving to a multi-editor model utilizing Protégé to curate DO in web ontology language. This will enable closer collaboration with the Human Phenotype Ontology, EBI's Ontology Working Group, Mouse Genome Informatics and the Monarch Initiative among others, and enhance DO's current asserted view and multiple inferred views through reasoning. Oxford University Press 2014-10-27 2015-01-28 /pmc/articles/PMC4383880/ /pubmed/25348409 http://dx.doi.org/10.1093/nar/gku1011 Text en © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research. https://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/ (https://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 Issue Kibbe, Warren A. Arze, Cesar Felix, Victor Mitraka, Elvira Bolton, Evan Fu, Gang Mungall, Christopher J. Binder, Janos X. Malone, James Vasant, Drashtti Parkinson, Helen Schriml, Lynn M. Disease Ontology 2015 update: an expanded and updated database of human diseases for linking biomedical knowledge through disease data |
title | Disease Ontology 2015 update: an expanded and updated database of human diseases for linking biomedical knowledge through disease data |
title_full | Disease Ontology 2015 update: an expanded and updated database of human diseases for linking biomedical knowledge through disease data |
title_fullStr | Disease Ontology 2015 update: an expanded and updated database of human diseases for linking biomedical knowledge through disease data |
title_full_unstemmed | Disease Ontology 2015 update: an expanded and updated database of human diseases for linking biomedical knowledge through disease data |
title_short | Disease Ontology 2015 update: an expanded and updated database of human diseases for linking biomedical knowledge through disease data |
title_sort | disease ontology 2015 update: an expanded and updated database of human diseases for linking biomedical knowledge through disease data |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4383880/ https://www.ncbi.nlm.nih.gov/pubmed/25348409 http://dx.doi.org/10.1093/nar/gku1011 |
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