VO: Vaccine Ontology | Zendy

Yongqun He | Zendy; Fang Chen | Zendy; Richard H. Scheuermann | Zendy; Thomas Todd | Zendy; Ryan R. Brinkman | Zendy; Lesley A. Colby | Zendy; Mélanie Courtot | Zendy; Howard Rush | Zendy; Chris Mungall | Zendy; Trish Whetzel | Zendy; Mark A. Musen | Zendy; Brian D. Athey | Zendy; Lindsay G. Cowell | Zendy; Gilbert S. Omenn | Zendy; Alexander D. Diehl | Zendy; Barry Smith | Zendy; Harry L. T. Mobley | Zendy; Zuoshuang Xiang | Zendy; Bjoern Peters | Zendy; Alan Ruttenberg | Zendy

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VO: Vaccine Ontology

Author(s) -

Yongqun He,

Fang Chen,

Richard H. Scheuermann,

Thomas Todd,

Ryan R. Brinkman,

Lesley A. Colby,

Mélanie Courtot,

Howard Rush,

Chris Mungall,

Trish Whetzel,

Mark A. Musen,

Brian D. Athey,

Lindsay G. Cowell,

Gilbert S. Omenn,

Alexander D. Diehl,

Barry Smith,

Harry L. T. Mobley,

Zuoshuang Xiang,

Bjoern Peters,

Alan Ruttenberg

Publication year - 2009

Publication title -

nature precedings

Language(s) - English

Resource type - Journals

ISSN - 1756-0357

DOI - 10.1038/npre.2009.3553.1

Subject(s) - computer science

The collaborative, community-based Vaccine Ontology (VO) was developed to promote vaccine data standardization, integration, and computer-assisted reasoning. Currently VO covers a variety of aspects of the vaccine domain, with an emphasis on classification of vaccines and vaccine components, and on host immune response to vaccines. VO can be used for a number of applications, e.g., ontology-based vaccine literature mining through collaboration with the National Center for Integrative Biomedical Informatics (NCIBI)

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