Reference : Disease Ontology 2015 update: an expanded and updated database of human diseases for ...
Scientific journals : Article
Life sciences : Multidisciplinary, general & others
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. [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) >]
Malone, James [> >]
Vasant, Drashtti [> >]
Parkinson, Helen [> >]
Schriml, Lynn M. [> >]
Nucleic Acids Research
Oxford University Press
Database issue
Yes (verified by ORBilu)
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) ( 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)
(c) The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research.

File(s) associated to this reference

Fulltext file(s):

Open access
Nucl. Acids Res.-2015-Kibbe-D1071-8.pdfPublisher postprint835.09 kBView/Open

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.