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    OGO: an ontological approach for integrating knowledge about orthology.

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    Authors
    Miñarro-Gimenez, Jose Antonio
    Madrid, Marisa
    Fernandez-Breis, Jesualdo Tomas
    Affiliation
    Departamento de Informática y Sistemas, Universidad de Murcia, Murcia, 30100, Spain. jose.minyarro@um.es
    Issue Date
    2009
    
    Metadata
    Show full item record
    Abstract
    BACKGROUND: There exist several information resources about orthology of genes and proteins, and there are also systems for querying those resources in an integrated way. However, caveats with current approaches include lack of integration, since results are shown sequentially by resource, meaning that there is redundant information and the users are required to combine the results obtained manually. RESULTS: In this paper we have applied the Ontological Gene Orthology approach, which makes use of a domain ontology to integrate the information output from selected orthology resources. The integrated information is stored in a knowledge base, which can be queried through semantic languages. A friendly user interface has been developed to facilitate the search; consequently, users do not need to have knowledge on ontologies or ontological languages to obtain the relevant information. CONCLUSION: The development and application of our approach allows users to retrieve integrated results when querying orthology information, providing a gene product-oriented output instead of a traditional information resource-oriented one. Besides this benefit for users, it also allows a better exploitation and management of orthology information and knowledge.
    Citation
    OGO: an ontological approach for integrating knowledge about orthology. 2009, 10 Suppl 10:S13 BMC Bioinformatics
    Journal
    BMC Bioinformatics
    URI
    http://hdl.handle.net/10541/109329
    DOI
    10.1186/1471-2105-10-S10-S13
    PubMed ID
    19796397
    Type
    Article
    Language
    en
    ISSN
    1471-2105
    ae974a485f413a2113503eed53cd6c53
    10.1186/1471-2105-10-S10-S13
    Scopus Count
    Collections
    All Paterson Institute for Cancer Research

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