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The DO-KB Knowledgebase: a 20-year journey developing the disease open science ecosystem.
Baron, J Allen; Johnson, Claudia Sanchez-Beato; Schor, Michael A; Olley, Dustin; Nickel, Lance; Felix, Victor; Munro, James B; Bello, Susan M; Bearer, Cynthia; Lichenstein, Richard; Bisordi, Katharine; Koka, Rima; Greene, Carol; Schriml, Lynn M.
Afiliação
  • Baron JA; University of Maryland School of Medicine, Institute for Genome Sciences, Baltimore, MD, USA.
  • Johnson CS; University of Maryland School of Medicine, Institute for Genome Sciences, Baltimore, MD, USA.
  • Schor MA; 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.
  • Nickel L; 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.
  • Munro JB; University of Maryland School of Medicine, Institute for Genome Sciences, Baltimore, MD, USA.
  • Bello SM; Animal and Plant Health Inspection Service, Plant Protection and Quarantine, USDA, USA.
  • Bearer C; Mouse Genome Informatics, The Jackson Laboratory, Bar Harbor, ME, USA.
  • Lichenstein R; Case Western Reserve University, Cleveland, OH, USA.
  • Bisordi K; University of Maryland School of Medicine, Baltimore, MD, USA.
  • Koka R; University of Maryland School of Medicine, Baltimore, MD, USA.
  • Greene C; University of Maryland School of Medicine, Baltimore, MD, USA.
  • Schriml LM; University of Maryland School of Medicine, Baltimore, MD, USA.
Nucleic Acids Res ; 52(D1): D1305-D1314, 2024 Jan 05.
Article em En | MEDLINE | ID: mdl-37953304
ABSTRACT
In 2003, the Human Disease Ontology (DO, https//disease-ontology.org/) was established at Northwestern University. In the intervening 20 years, the DO has expanded to become a highly-utilized disease knowledge resource. Serving as the nomenclature and classification standard for human diseases, the DO provides a stable, etiology-based structure integrating mechanistic drivers of human disease. Over the past two decades the DO has grown from a collection of clinical vocabularies, into an expertly curated semantic resource of over 11300 common and rare diseases linking disease concepts through more than 37000 vocabulary cross mappings (v2023-08-08). Here, we introduce the recently launched DO Knowledgebase (DO-KB), which expands the DO's representation of the diseaseome and enhances the findability, accessibility, interoperability and reusability (FAIR) of disease data through a new SPARQL service and new Faceted Search Interface. The DO-KB is an integrated data system, built upon the DO's semantic disease knowledge backbone, with resources that expose and connect the DO's semantic knowledge with disease-related data across Open Linked Data resources. This update includes descriptions of efforts to assess the DO's global impact and improvements to data quality and content, with emphasis on changes in the last two years.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ecossistema / Bases de Conhecimento Limite: Humans Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ecossistema / Bases de Conhecimento Limite: Humans Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos