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The Human Disease Ontology 2022 update.
Schriml, Lynn M; Munro, James B; Schor, Mike; Olley, Dustin; McCracken, Carrie; Felix, Victor; Baron, J Allen; Jackson, Rebecca; Bello, Susan M; Bearer, Cynthia; Lichenstein, Richard; Bisordi, Katharine; Dialo, Nicole Campion; Giglio, Michelle; Greene, Carol.
Afiliação
  • Schriml LM; University of Maryland School of Medicine, Institute for Genome Sciences, Baltimore, MD, USA.
  • Munro JB; University of Maryland School of Medicine, Institute for Genome Sciences, Baltimore, MD, USA.
  • Schor M; University of Maryland School of Medicine, Institute for Genome Sciences, Baltimore, MD, USA.
  • Olley D; University of Maryland School of Medicine, Institute for Genome Sciences, Baltimore, MD, USA.
  • McCracken C; University of Maryland School of Medicine, Institute for Genome Sciences, Baltimore, MD, USA.
  • Felix V; University of Maryland School of Medicine, Institute for Genome Sciences, Baltimore, MD, USA.
  • Baron JA; University of Maryland School of Medicine, Institute for Genome Sciences, Baltimore, MD, USA.
  • Jackson R; Bend Informatics LLC, Bend, OR, USA.
  • Bello SM; Mouse Genome Informatics, The Jackson Laboratory, Bar Harbor, ME, USA.
  • Bearer C; Case Western Reserve University, Cleveland, OH, USA.
  • Lichenstein R; University of Maryland School of Medicine, Baltimore, MD, USA.
  • Bisordi K; University of Maryland School of Medicine, Baltimore, MD, USA.
  • Dialo NC; Internal Medicine Resident, PGY-1, Johns Hopkins Bayview Medical Center, USA.
  • Giglio M; University of Maryland School of Medicine, Institute for Genome Sciences, Baltimore, MD, USA.
  • Greene C; University of Maryland School of Medicine, Baltimore, MD, USA.
Nucleic Acids Res ; 50(D1): D1255-D1261, 2022 01 07.
Article em En | MEDLINE | ID: mdl-34755882
ABSTRACT
The Human Disease Ontology (DO) (www.disease-ontology.org) database, has significantly expanded the disease content and enhanced our userbase and website since the DO's 2018 Nucleic Acids Research DATABASE issue paper. Conservatively, based on available resource statistics, terms from the DO have been annotated to over 1.5 million biomedical data elements and citations, a 10× increase in the past 5 years. The DO, funded as a NHGRI Genomic Resource, plays a key role in disease knowledge organization, representation, and standardization, serving as a reference framework for multiscale biomedical data integration and analysis across thousands of clinical, biomedical and computational research projects and genomic resources around the world. This update reports on the addition of 1,793 new disease terms, a 14% increase of textual definitions and the integration of 22 137 new SubClassOf axioms defining disease to disease connections representing the DO's complex disease classification. The DO's updated website provides multifaceted etiology searching, enhanced documentation and educational resources.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bases de Dados Factuais / Bases de Dados Genéticas / Ontologias Biológicas / Doenças Genéticas Inatas Limite: Humans Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bases de Dados Factuais / Bases de Dados Genéticas / Ontologias Biológicas / Doenças Genéticas Inatas Limite: Humans Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos