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PMID: 22080554 Published · ppublish English Journal Article Research Support, N.I.H., Extramural

Disease Ontology: a backbone for disease semantic integration.

Nucleic acids research ·Vol. 40 ·No. Database issue ·2012-01-00 ·Pages D940-6

Schriml LM, Arze C, Nadendla S, Chang YW, Mazaitis M, Felix V, Feng G, Kibbe WA

Abstract

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.

MeSH Terms
Computer Graphics Databases, Factual Disease/classification,etiology Humans Semantics Software Terminology as Topic User-Computer Interface Vocabulary, Controlled
Authors & Affiliations
8 authors, click to expand affiliations / ORCID
Schriml Lynn Marie
Department of Epidemiology and Public Health, Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA. [email protected]
Arze Cesar
Nadendla Suvarna
Chang Yu-Wei Wayne
Mazaitis Mark
Felix Victor
Feng Gang
Kibbe Warren Alden
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Article Info
Journal
Nucleic acids research
Abbr.
Nucleic Acids Res
ISSN
1362-4962
Published
2012-01-00
Epub
2011-00-12
Pages
D940-6
Language
English
Region
England
NLM ID
0411011
PMCID
PMC3245088
Subset
IM
Grants
NCRR NIH HHS · UL1 RR025741 · United States
NCRR NIH HHS · R01RR025342 · United States
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