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Disease Ontology: a backbone for disease semantic integration
The Disease Ontology (DO) database (http://disease-ontology.org) represents a comprehensive knowledge base of 8043 inherited, developmental and acquired human diseases (DO version 3, revision 2510). The DO web browser has been designed for speed, efficiency and robustness through the use of a graph...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3245088/ https://www.ncbi.nlm.nih.gov/pubmed/22080554 http://dx.doi.org/10.1093/nar/gkr972 |
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author | Schriml, Lynn Marie Arze, Cesar Nadendla, Suvarna Chang, Yu-Wei Wayne Mazaitis, Mark Felix, Victor Feng, Gang Kibbe, Warren Alden |
author_facet | Schriml, Lynn Marie Arze, Cesar Nadendla, Suvarna Chang, Yu-Wei Wayne Mazaitis, Mark Felix, Victor Feng, Gang Kibbe, Warren Alden |
author_sort | Schriml, Lynn Marie |
collection | PubMed |
description | The Disease Ontology (DO) database (http://disease-ontology.org) represents a comprehensive knowledge base of 8043 inherited, developmental and acquired human diseases (DO version 3, revision 2510). The DO web browser has been designed for speed, efficiency and robustness through the use of a graph database. Full-text contextual searching functionality using Lucene allows the querying of name, synonym, definition, DOID and cross-reference (xrefs) with complex Boolean search strings. The DO semantically integrates disease and medical vocabularies through extensive cross mapping and integration of MeSH, ICD, NCI's thesaurus, SNOMED CT and OMIM disease-specific terms and identifiers. The DO is utilized for disease annotation by major biomedical databases (e.g. Array Express, NIF, IEDB), as a standard representation of human disease in biomedical ontologies (e.g. IDO, Cell line ontology, NIFSTD ontology, Experimental Factor Ontology, Influenza Ontology), and as an ontological cross mappings resource between DO, MeSH and OMIM (e.g. GeneWiki). The DO project (http://diseaseontology.sf.net) has been incorporated into open source tools (e.g. Gene Answers, FunDO) to connect gene and disease biomedical data through the lens of human disease. The next iteration of the DO web browser will integrate DO's extended relations and logical definition representation along with these biomedical resource cross-mappings. |
format | Online Article Text |
id | pubmed-3245088 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-32450882012-01-10 Disease Ontology: a backbone for disease semantic integration Schriml, Lynn Marie Arze, Cesar Nadendla, Suvarna Chang, Yu-Wei Wayne Mazaitis, Mark Felix, Victor Feng, Gang Kibbe, Warren Alden Nucleic Acids Res Articles The Disease Ontology (DO) database (http://disease-ontology.org) represents a comprehensive knowledge base of 8043 inherited, developmental and acquired human diseases (DO version 3, revision 2510). The DO web browser has been designed for speed, efficiency and robustness through the use of a graph database. Full-text contextual searching functionality using Lucene allows the querying of name, synonym, definition, DOID and cross-reference (xrefs) with complex Boolean search strings. The DO semantically integrates disease and medical vocabularies through extensive cross mapping and integration of MeSH, ICD, NCI's thesaurus, SNOMED CT and OMIM disease-specific terms and identifiers. The DO is utilized for disease annotation by major biomedical databases (e.g. Array Express, NIF, IEDB), as a standard representation of human disease in biomedical ontologies (e.g. IDO, Cell line ontology, NIFSTD ontology, Experimental Factor Ontology, Influenza Ontology), and as an ontological cross mappings resource between DO, MeSH and OMIM (e.g. GeneWiki). The DO project (http://diseaseontology.sf.net) has been incorporated into open source tools (e.g. Gene Answers, FunDO) to connect gene and disease biomedical data through the lens of human disease. The next iteration of the DO web browser will integrate DO's extended relations and logical definition representation along with these biomedical resource cross-mappings. Oxford University Press 2012-01 2011-11-12 /pmc/articles/PMC3245088/ /pubmed/22080554 http://dx.doi.org/10.1093/nar/gkr972 Text en © The Author(s) 2011. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Schriml, Lynn Marie Arze, Cesar Nadendla, Suvarna Chang, Yu-Wei Wayne Mazaitis, Mark Felix, Victor Feng, Gang Kibbe, Warren Alden Disease Ontology: a backbone for disease semantic integration |
title | Disease Ontology: a backbone for disease semantic integration |
title_full | Disease Ontology: a backbone for disease semantic integration |
title_fullStr | Disease Ontology: a backbone for disease semantic integration |
title_full_unstemmed | Disease Ontology: a backbone for disease semantic integration |
title_short | Disease Ontology: a backbone for disease semantic integration |
title_sort | disease ontology: a backbone for disease semantic integration |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3245088/ https://www.ncbi.nlm.nih.gov/pubmed/22080554 http://dx.doi.org/10.1093/nar/gkr972 |
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