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  1.  945
    National Center for Biomedical Ontology: Advancing biomedicine through structured organization of scientific knowledge.Daniel L. Rubin,Suzanna E. Lewis,Chris J. Mungall,Misra Sima,Westerfield Monte,Ashburner Michael,Christopher G. Chute,Ida Sim,Harold Solbrig,M. A. Storey,Barry Smith,John D. Richter,Natasha Noy &Mark A. Musen -2006 -Omics: A Journal of Integrative Biology 10 (2):185-198.
    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. (shrink)
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  2.  58
    The RNA Ontology (RNAO): An ontology for integrating RNA sequence and structure data.Robert Hoehndorf,Colin Batchelor,Thomas Bittner,Michel Dumontier,Karen Eilbeck,Rob Knight,Chris J. Mungall,Jane S. Richardson,Jesse Stombaugh &Eric Westhof -2011 -Applied ontology 6 (1):53-89.
    Biomedical Ontologies integrate diverse biomedical data and enable intelligent data-mining and help translate basic research into useful clinical knowledge. We present the RNA Ontology (RNAO), an o...
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  3.  890
    CARO: The Common Anatomy Reference Ontology.Melissa Haendel,Fabian Neuhaus,David Osumi-Sutherland,Paula M. Mabee,José L. V. Mejino Jr,Chris J. Mungall &Barry Smith -2008 - In Haendel Melissa, A. Neuhaus, Fabian Osumi-Sutherland, David Mabee, Paula M., Mejino Jr José L. V., Mungall Chris, J. Smith & Barry,Anatomy Ontologies for Bioinformatics: Principles and Practice. Springer. pp. 327-349.
    The Common Anatomy Reference Ontology (CARO) is being developed to facilitate interoperability between existing anatomy ontologies for different species, and will provide a template for building new anatomy ontologies. CARO has a structural axis of classification based on the top-level nodes of the Foundational Model of Anatomy. CARO will complement the developmental process sub-ontology of the GO Biological Process ontology, using it to ensure the coherent treatment of developmental stages, and to provide a common framework for the model organism communities (...) to classify developmental structures. Definitions for the types and relationships are being generated by a consortium of investigators from diverse backgrounds to ensure applicability to all organisms. CARO will support the coordination of cross-species ontologies at all levels of anatomical granularity by cross-referencing types within the cell type ontology (CL) and the Gene Ontology (GO) Cellular Component ontology. A complete cross-species CARO could be utilized in other ontologies for cross-product generation. (shrink)
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