2.50
Hdl Handle:
http://hdl.handle.net/10541/109329
Title:
OGO: an ontological approach for integrating knowledge about orthology.
Authors:
Miñarro-Gimenez, Jose Antonio; Madrid, Marisa; Fernandez-Breis, Jesualdo Tomas
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.
Affiliation:
Departamento de Informática y Sistemas, Universidad de Murcia, Murcia, 30100, Spain. jose.minyarro@um.es
Citation:
OGO: an ontological approach for integrating knowledge about orthology. 2009, 10 Suppl 10:S13 BMC Bioinformatics
Journal:
BMC Bioinformatics
Issue Date:
2009
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
Appears in Collections:
All Paterson Institute for Cancer Research

Full metadata record

DC FieldValue Language
dc.contributor.authorMiñarro-Gimenez, Jose Antonioen
dc.contributor.authorMadrid, Marisaen
dc.contributor.authorFernandez-Breis, Jesualdo Tomasen
dc.date.accessioned2010-08-09T15:03:13Z-
dc.date.available2010-08-09T15:03:13Z-
dc.date.issued2009-
dc.identifier.citationOGO: an ontological approach for integrating knowledge about orthology. 2009, 10 Suppl 10:S13 BMC Bioinformaticsen
dc.identifier.issn1471-2105-
dc.identifier.pmid19796397-
dc.identifier.doi10.1186/1471-2105-10-S10-S13-
dc.identifier.urihttp://hdl.handle.net/10541/109329-
dc.description.abstractBACKGROUND: 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.en
dc.language.isoenen
dc.subject.meshComputational Biology-
dc.subject.meshDatabases, Factual-
dc.subject.meshInformation Storage and Retrieval-
dc.subject.meshNatural Language Processing-
dc.subject.meshSoftware-
dc.titleOGO: an ontological approach for integrating knowledge about orthology.en
dc.typeArticleen
dc.contributor.departmentDepartamento de Informática y Sistemas, Universidad de Murcia, Murcia, 30100, Spain. jose.minyarro@um.esen
dc.identifier.journalBMC Bioinformaticsen

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