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Volume 4 Supplement 1

Proceedings of the Bio-Ontologies Special Interest Group 2012


Edited by Larisa Soldatova, Michel Dumontier, Susanna Sansone and Nigam H Shah

The supplement hasn't received any external sponsorship, full details can be found in the declarations of each individual article

Bio-Ontologies 2012. Go to conference site.

Long Beach, CA, USA13-14 July 2012

  1. Content type: Introduction

    Over the 15 years, the Bio-Ontologies SIG at ISMB has provided a forum for discussion of the latest and most innovative research in the bio-ontologies development, its applications to biomedicine and more gene...

    Authors: Larisa N Soldatova, Susanna-Assunta Sansone, Michel Dumontier and Nigam H Shah

    Citation: Journal of Biomedical Semantics 2013 4(Suppl 1):I1

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  2. Content type: Proceedings

    A key activity for life scientists in this post “-omics” age involves searching for and integrating biological data from a multitude of independent databases. However, our ability to find relevant data is hamp...

    Authors: Alison Callahan, José Cruz-Toledo and Michel Dumontier

    Citation: Journal of Biomedical Semantics 2013 4(Suppl 1):S1

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  3. Content type: Proceedings

    As the number and size of biological knowledge resources for physiology grows, researchers need improved tools for searching and integrating knowledge and physiological models. Unfortunately, current resources...

    Authors: Daniel L. Cook, Maxwell L. Neal, Robert Hoehndorf, Georgios V. Gkoutos and John H. Gennari

    Citation: Journal of Biomedical Semantics 2013 4(Suppl 1):S2

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  4. Content type: Proceedings

    Document search on PubMed, the pre-eminent database for biomedical literature, relies on the annotation of its documents with relevant terms from the Medical Subject Headings ontology (MeSH) for improving reca...

    Authors: Daniel Eisinger, George Tsatsaronis, Markus Bundschus, Ulrich Wieneke and Michael Schroeder

    Citation: Journal of Biomedical Semantics 2013 4(Suppl 1):S3

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  5. Content type: Proceedings

    The Gene Ontology and its associated annotations are critical tools for interpreting lists of genes. Here, we introduce a method for evaluating the Gene Ontology annotations and structure based on the impact t...

    Authors: Erik L Clarke, Salvatore Loguercio, Benjamin M Good and Andrew I Su

    Citation: Journal of Biomedical Semantics 2013 4(Suppl 1):S4

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  6. Content type: Proceedings

    The World Wide Web has become a dissemination platform for scientific and non-scientific publications. However, most of the information remains locked up in discrete documents that are not always interconnecte...

    Authors: L Jael Garcia Castro, C McLaughlin and A Garcia

    Citation: Journal of Biomedical Semantics 2013 4(Suppl 1):S5

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  7. Content type: Commentary

    Ontologies categorize entities, express relationships between them, and provide standardized definitions. Thus, they can be used to present and enforce the specific relationships between database components. T...

    Authors: Randi Vita, James A. Overton, Jason A. Greenbaum, Alessandro Sette and Bjoern Peters

    Citation: Journal of Biomedical Semantics 2013 4(Suppl 1):S6

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  8. Content type: Proceedings

    The theory of probability is widely used in biomedical research for data analysis and modelling. In previous work the probabilities of the research hypotheses have been recorded as experimental metadata. The o...

    Authors: Larisa N. Soldatova, Andrey Rzhetsky, Kurt De Grave and Ross D King

    Citation: Journal of Biomedical Semantics 2013 4(Suppl 1):S7

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  9. Content type: Proceedings

    As new biomedical technologies are developed, the amount of publically available biomedical data continues to increase. To help manage these vast and disparate data sources, researchers have turned to the Sema...

    Authors: Patricia L Whetzel

    Citation: Journal of Biomedical Semantics 2013 4(Suppl 1):S8

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