Reference : Disease Ontology 2015 update: an expanded and updated database of human diseases for ...
Scientific journals : Article
Life sciences : Multidisciplinary, general & others
http://hdl.handle.net/10993/26365
Disease Ontology 2015 update: an expanded and updated database of human diseases for linking biomedical knowledge through disease data.
English
Kibbe, Warren A. [> >]
Arze, Cesar [> >]
Felix, Victor [> >]
Mitraka, Elvira [> >]
Bolton, Evan [> >]
Fu, Gang [> >]
Mungall, Christopher J. [> >]
Binder, Janos X. [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) >]
Malone, James [> >]
Vasant, Drashtti [> >]
Parkinson, Helen [> >]
Schriml, Lynn M. [> >]
2015
Nucleic Acids Research
Oxford University Press
43
Database issue
D1071-8
Yes (verified by ORBilu)
0305-1048
1362-4962
Oxford
United Kingdom
[en] Biological Ontologies ; Databases, Factual ; Disease ; Genetic Diseases, Inborn ; Humans ; Internet ; Rare Diseases/genetics
[en] 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 Protege 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.
Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group)
http://hdl.handle.net/10993/26365
10.1093/nar/gku1011
(c) The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research.

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