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  1. Diagnostic Criteria for Temporomandibular Disorders (DC/TMD) for Clinical and Research Applications.Eric Schiffman, Richard Ohrbach, E. Truelove, Edmond Truelove, John Look, Gary Anderson, Werner Ceusters, Barry Smith & Others - 2014 - Journal of Oral and Facial Pain and Headache 28 (1):6-27.
    Aims: The Research Diagnostic Criteria for Temporomandi¬bular Disorders (RDC/TMD) Axis I diagnostic algorithms were demonstrated to be reliable but below target sensitivity and specificity. Empirical data supported Axis I algorithm revisions that were valid. Axis II instruments were shown to be both reliable and valid. An international consensus workshop was convened to obtain recommendations and finalization of new Axis I diagnostic algorithms and new Axis II instruments. Methods: A comprehensive search of published TMD diagnostic literature was followed by review and (...)
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  2. Finding Our Way Through Phenotypes.Andrew R. Deans, Suzanna E. Lewis, Eva Huala, Salvatore S. Anzaldo, Michael Ashburner, James P. Balhoff, David C. Blackburn, Judith A. Blake, J. Gordon Burleigh, Bruno Chanet, Laurel D. Cooper, Mélanie Courtot, Sándor Csösz, Hong Cui, Barry Smith & Others - 2015 - PLoS Biol 13 (1):e1002033.
    Despite a large and multifaceted effort to understand the vast landscape of phenotypic data, their current form inhibits productive data analysis. The lack of a community-wide, consensus-based, human- and machine-interpretable language for describing phenotypes and their genomic and environmental contexts is perhaps the most pressing scientific bottleneck to integration across many key fields in biology, including genomics, systems biology, development, medicine, evolution, ecology, and systematics. Here we survey the current phenomics landscape, including data resources and handling, and the progress that (...)
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  3.  38
    The OBO Foundry: Coordinated Evolution of Ontologies to Support Biomedical Data Integration.Barry Smith, Michael Ashburner, Cornelius Rosse, Jonathan Bard, William Bug, Werner Ceusters, Louis J. Goldberg, Karen Eilbeck, Amelia Ireland, Christopher J. Mungall, Neocles Leontis & Others - 2007 - Nature Biotechnology 25 (11):1251-1255.
    The value of any kind of data is greatly enhanced when it exists in a form that allows it to be integrated with other data. One approach to integration is through the annotation of multiple bodies of data using common controlled vocabularies or ‘ontologies’. Unfortunately, the very success of this approach has led to a proliferation of ontologies which itself creates obstacles to integration. The Open Biomedical Ontologies (OBO) consortium has set in train a strategy to overcome this problem. Existing (...)
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  4. The Plant Ontology as a Tool for Comparative Plant Anatomy and Genomic Analyses.Laurel Cooper, Ramona Walls, Justin Elser, Maria A. Gandolfo, Dennis W. Stevenson, Barry Smith & Others - 2013 - Plant and Cell Physiology 54 (2):1-23..
    The Plant Ontology (PO; http://www.plantontology.org/) is a publicly-available, collaborative effort to develop and maintain a controlled, structured vocabulary (“ontology”) of terms to describe plant anatomy, morphology and the stages of plant development. The goals of the PO are to link (annotate) gene expression and phenotype data to plant structures and stages of plant development, using the data model adopted by the Gene Ontology. From its original design covering only rice, maize and Arabidopsis, the scope of the PO has been expanded (...)
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  5.  16
    Six Questions on the Construction of Ontologies in Biomedicine.Anand Kumar, A. Burgun, W. Ceusters, J. Cimino, J. Davis, P. Elkin, I. Kalet, A. Rector, J. Rice, J. Rogers, Barry Smith & Others - manuscript
    (Report assembled for the Workshop of the AMIA Working Group on Formal Biomedical Knowledge Representation in connection with AMIA Symposium, Washington DC, 2005.) Best practices in ontology building for biomedicine have been frequently discussed in recent years. However there is a range of seemingly disparate views represented by experts in the field. These views not only reflect the different uses to which ontologies are put, but also the experiences and disciplinary background of these experts themselves. We asked six questions related (...)
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  6.  24
    Protein Ontology: A Controlled Structured Network of Protein Entities.A. Natale Darren, N. Arighi Cecilia, A. Blake Judith, J. Bult Carol, R. Christie Karen, Cowart Julie, D’Eustachio Peter, D. Diehl Alexander, J. Drabkin Harold, Helfer Olivia, Barry Smith & Others - 2013 - Nucleic Acids Research 42 (1):D415-21..
    The Protein Ontology (PRO; http://proconsortium.org) formally defines protein entities and explicitly represents their major forms and interrelations. Protein entities represented in PRO corresponding to single amino acid chains are categorized by level of specificity into family, gene, sequence and modification metaclasses, and there is a separate metaclass for protein complexes. All metaclasses also have organism-specific derivatives. PRO complements established sequence databases such as UniProtKB, and interoperates with other biomedical and biological ontologies such as the Gene Ontology (GO). PRO relates to (...)
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  7.  18
    Protein-Centric Connection of Biomedical Knowledge: Protein Ontology Research and Annotation Tools.Cecilia N. Arighi, Darren A. Natale, Judith A. Blake, Carol J. Bult, Michael Caudy, Alexander D. Diehl, Harold J. Drabkin, Peter D'Eustachio, Alexei Evsikov, Hongzhan Huang, Barry Smith & Others - 2011 - In Proceedings of the 2nd International Conference on Biomedical Ontology. Buffalo, NY: NCOR. pp. 285-287.
    The Protein Ontology (PRO) web resource provides an integrative framework for protein-centric exploration and enables specific and precise annotation of proteins and protein complexes based on PRO. Functionalities include: browsing, searching and retrieving, terms, displaying selected terms in OBO or OWL format, and supporting URIs. In addition, the PRO website offers multiple ways for the user to request, submit, or modify terms and/or annotation. We will demonstrate the use of these tools for protein research and annotation.
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  8.  17
    VO: Vaccine Ontology.Yongqun He, Lindsay Cowell, Alexander D. Diehl, H. L. Mobley, Bjoern Peters, Alan Ruttenberg, Richard H. Scheuermann, Ryan R. Brinkman, Melanie Courtot, Chris Mungall, Barry Smith & Others - 2009 - In ICBO 2009: Proceedings of the First International Conference on Biomedical Ontology. Buffalo:
    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 (...)
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  9. First Human Face Allograft: Early Report. Commentary.Patrick Warnke, Carosella H., D. Edgardo, Thomas Pradeu, Bernard Devauchelle, Lionel Badet, Benoit Lengele, Emmanuel Morelon, Sylvie Testelin, Mauricette Michallet, Cédric D.’Hauthuille & Others - 2006 - Lancet 368 (9531).
     
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  10. L'identité immunologique: soi ou continuité?Thomas Pradeu, Edgardo Carosella & Others - forthcoming - L’Identité? Soi, Non-Soi, Individu Et Personne:47--58.
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  11. Costly Punishment Across Human Societies. Others - manuscript
     
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  12.  29
    Semantics in Support of Biodiversity: An Introduction to the Biological Collections Ontology and Related Ontologies.Ramona L. Walls, John Deck, Robert Guralnik, Steve Baskauf, Reed Beaman, Stanley Blum, Shawn Bowers, Pier Luigi Buttigieg, Neil Davies, Dag Endresen, Maria Alejandra Gandolfo, Robert Hanner, Alyssa Janning, Barry Smith & Others - 2014 - PLoS ONE 9 (3):1-13.
    The study of biodiversity spans many disciplines and includes data pertaining to species distributions and abundances, genetic sequences, trait measurements, and ecological niches, complemented by information on collection and measurement protocols. A review of the current landscape of metadata standards and ontologies in biodiversity science suggests that existing standards such as the Darwin Core terminology are inadequate for describing biodiversity data in a semantically meaningful and computationally useful way. Existing ontologies, such as the Gene Ontology and others in the Open (...)
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  13.  14
    In Silico Approaches and the Role of Ontologies in Aging Research.Georg Fuellen, Melanie Börries, Hauke Busch, Aubrey de Grey, Udo Hahn, Thomas Hiller, Andreas Hoeflich, Ludger Jansen, Georges E. Janssens, Christoph Kaleta, Anne C. Meinema, Sascha Schäuble, Paul N. Schofield, Barry Smith & Others - 2013 - Rejuvenation Research 16 (6):540-546.
    The 2013 Rostock Symposium on Systems Biology and Bioinformatics in Aging Research was again dedicated to dissecting the aging process using in silico means. A particular focus was on ontologies, as these are a key technology to systematically integrate heterogeneous information about the aging process. Related topics were databases and data integration. Other talks tackled modeling issues and applications, the latter including talks focussed on marker development and cellular stress as well as on diseases, in particular on diseases of kidney (...)
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  14. Best Practices.Inmaculada Arnedillo-Sánchez, Marco Arrigo, Freida Crehan, Paola Dal Grande, Onofrio Di Giuseppe, Robert Farrow, Giovanni Fulantelli, Andras Gabor, Manuel Gentile, Gabor Kismihok & Others - 2010 - .
     
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  15. L'Identité? Soi et non-soi, individu et personne.Edgardo Carosella, Thomas Pradeu, Claude Debru, Bertrand Saint-Sernin & Others - forthcoming - Philosophical Explorations.
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  16. Alan Turing's Electronic Brain: The Struggle to Build the Ace, the World's Fastest Computer. Others - 2012 - Oxford University Press.
    Well known for this crucial wartime role in breaking the ENIGMA code, this book chronicles Turing's struggle to build the modern computer. Includes first hand accounts by Turing and the pioneers of computing who worked with him.
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  17. From an Immunological Point of View: The Move From €˜Self’Towards Interactionism to Define Biological Identity. Pradeu, Thomas & Others - forthcoming - Philosophical Explorations.
     
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  18. Tambalea el dogma Propio/No-propio de la immunología.Thomas Pradeu, Edgardo Carosella & Others - 2005 - Medicina 65 (6):558--558.
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  19. Biomedical Imaging Ontologies: A Survey and Proposal for Future Work.Barry Smith, Arabandi Sivaram, Brochhausen Mathias, Calhoun Michael, Ciccarese Paolo, Doyle Scott, Gibaud Bernard, Goldberg Ilya, Kahn Charles, E. Overton Jr & James Others - 2015 - Journal of Pathology Informatics 6:37.
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