/21/2017 VO: Vaccine Ontology : Nature Precedings http://precedings.nature.com/documents/3552/version/1 1/3 Register Log in Nature Precedings Home Search: GO Advanced search doi:10.1038/npre.2009.3552.1 VO: Vaccine Ontology Yongqun He1, Lindsay Cowell2, Alexander D. Diehl3, Harry Mobley1, Bjoern Peters4, Alan Ruttenberg5, Richard H. Scheuermann6, Ryan R. Brinkman7, Melanie Courtot7, Chris Mungall8, Zuoshuang Xiang1, Fang Chen1, Thomas Todd1, Lesley Colby1, Howard Rush1, Trish Whetzel9, Mark A. Musen9, Brian D. Athey1, Gilbert S. Omenn1 & Barry Smith10 Correspondence: (Login to view email address) 1. University of Michigan, Ann Arbor, MI 48109, USA 2. Duke University, Durham, NC 27710, USA 3. Mouse Genome Informatics, The Jackson Laboratory, Bar Harbor, ME 04605, USA 4. La Jolla Institute for Allergy and Immunology, La Jolla, CA 92037, USA 5. Science Commons, Cambridge, MA, USA 6. U.T. Southwestern Medical Center, Dallas, TX 75390-9072, USA 7. BC Cancer Agency, 675 West 10th Avenue, Vancouver, BC, Canada 8. Lawrence Berkeley National Laboratory, Berkeley CA, USA 9. Stanford University, Stanford, CA 94305, USA 10. University at Buffalo, Buffalo, NY 14260, USA PPT (521 KB) PDF (273.4 KB) Document Type: Poster Date: Received 05 August 2009 15:27 UTC; Posted 05 August 2009 Subjects: Biotechnology, Immunology, Microbiology, Bioinformatics Tags: ontology VO Vaccine Infectious disease Vaccine Ontology BFO 11/21/2017 VO: Vaccine Ontology : Nature Precedings http://precedings.nature.com/documents/3552/version/1 2/3 OBI IDO OWL NCIBI NCBO Abstract: Vaccine research, as well as the development, testing, clinical trials, and commercial uses of vaccines involve complex processes with various biological data that include gene and protein expression, analysis of molecular and cellular interactions, study of tissue and whole body responses, and extensive epidemiological modeling. Although many data resources are available to meet different aspects of vaccine needs, it remains a challenge how we are to standardize vaccine annotation, integrate data about varied vaccine types and resources, and support advanced vaccine data analysis and inference. To address these problems, the community-based Vaccine Ontology (VO, http://www.violinet.org/vaccineontology) has been developed through collaboration with vaccine researchers and many national and international centers and programs, including the National Center for Biomedical Ontology (NCBO), the Infectious Disease Ontology (IDO) Initiative, and the Ontology for Biomedical Investigations (OBI). VO utilizes the Basic Formal Ontology (BFO) as the top ontology and the Relation Ontology (RO) for definition of term relationships. VO is represented in the Web Ontology Language (OWL) and edited using the ProtégéOWL. Currently VO contains more than 2000 terms and relationships. VO emphasizes on classification of vaccines and vaccine components, vaccine quality and phenotypes, and host immune response to vaccines. These reflect different aspects of vaccine composition and biology and can thus be used to model individual vaccines. More than 200 licensed vaccines and many vaccine candidates in research or clinical trials have been modeled in VO. VO is being used for vaccine literature mining through collaboration with the National Center for Integrative Biomedical Informatics (NCIBI). Multiple VO applications will be presented. Collection: International Conference on Biomedical Ontology Presented at: International Conference on Biomedical Ontology (ICBO), 24 July 2009 Discussion Comments: 0 comments Share: (Login to share with a colleague) Additional information License: This document is licensed to the public under the Creative Commons Attribution 3.0 License How to cite this document: He, Yongqun, Cowell, Lindsay , Diehl, Alexander, Mobley, Harry, Peters, Bjoern, Ruttenberg, Alan , Scheuermann, Richard, Brinkman, Ryan , Courtot, Melanie , Mungall, Chris , Xiang, Zuoshuang , Chen, Fang, Todd, Thomas, Colby, Lesley , Rush, Howard , Whetzel, Trish , Musen, Mark, Athey, Brian, Omenn, Gilbert , and Smith, Barry . VO: Vaccine Ontology. Available from Nature Precedings <http://dx.doi.org/10.1038/npre.2009.3552.1> (2009) 11/21/2017 VO: Vaccine Ontology : Nature Precedings http://precedings.nature.com/documents/3552/version/1 3/3 Version info: Other versions of this document in Nature Precedings None. Other versions of this document elsewhere on the web None known. Related Documents Multiple Ontologies for Integrating Complex Phenotype Datasets Mary Shimoyama et al. Multiple Ontologies for Integrating Complex Phenotype Datasets Mary Shimoyama et al. Development of GCP Ontology for Sharing Crop Information Rosemary Shrestha et al. About Nature Precedings Community Guidelines Privacy Policy Use of Cookies Terms and Conditions Legal Notice © 2017 Nature Publishing Group