National Center for Biomedical Ontology: Advancing biomedicine through structured organization of scientific knowledge

被引:92
作者
Rubin, Daniel L.
Lewis, Suzanna E.
Mungall, Chris J.
Misra, Sima
Westerfield, Monte
Ashburner, Michael
Sim, Ida
Chute, Christopher G.
Solbrig, Harold
Storey, Margaret-Anne
Smith, Barry
Day-Richter, John
Noy, Natalya F.
Musen, Mark A.
机构
[1] Stanford Univ, Stanford, CA 94305 USA
[2] Lawrence Berkeley Lab, Div Life Sci, Berkeley, CA USA
[3] Univ Calif Berkeley, Dept Mol & Cell Biol, Berkeley, CA 94720 USA
[4] Univ Oregon, Dept Biol, Portland, OR USA
[5] Univ Cambridge, Dept Genet, Cambridge, England
[6] Univ Calif San Francisco, Dept Med, San Francisco, CA 94143 USA
[7] Mayo Clin Rochester, Dept Biomed Informat, Rochester, MN USA
[8] Univ Victoria, Dept Comp Sci, Victoria, BC, Canada
[9] SUNY Buffalo, Dept Philosophy, Buffalo, NY USA
[10] Howard Hughes Med Inst, Baltimore, MD 21205 USA
关键词
D O I
10.1089/omi.2006.10.185
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
The National Center for Biomedical Ontology is a consortium that comprises leading informaticians, biologists, clinicians, and ontologists, funded by the National Institutes of Health (NIH) Roadmap, to develop innovative technology and methods that allow scientists to record, manage, and disseminate biomedical information and knowledge in machine-processable form. The goals of the Center are (1) to help unify the divergent and isolated efforts in ontology development by promoting high quality open-source, standards-based tools to create, manage, and use ontologies, (2) to create new software tools so that scientists can use ontologies to annotate and analyze biomedical data, (3) to provide a national resource for the ongoing evaluation, integration, and evolution of biomedical ontologies and associated tools and theories in the context of driving biomedical projects (DBPs), and (4) to disseminate the tools and resources of the Center and to identify, evaluate, and communicate best practices of ontology development to the biomedical community. Through the research activities within the Center, collaborations with the DBPs, and interactions with the biomedical community, our goal is to help scientists to work more effectively in the e-science paradigm, enhancing experiment design, experiment execution, data analysis, information synthesis, hypothesis generation and testing, and understand human disease. This paper is part of the special issue of OMICS on data standards.
引用
收藏
页码:185 / 198
页数:14
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