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Gene Ontology Function prediction in Mollicutes using Protein-Protein Association Networks

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dc.contributor Universitat de Vic. Escola Politècnica Superior
dc.contributor.author Gómez Moruno, Antonio
dc.contributor.author Cedano, Juan
dc.contributor.author Amela, Isaac
dc.contributor.author Planas, Antoni
dc.contributor.author Piñol, Jaume
dc.date.accessioned 2012-10-17T10:27:36Z
dc.date.available 2012-10-17T10:27:36Z
dc.date.created 2011
dc.date.issued 2011
dc.identifier.citation GÓMEZ MORUNO, Antonio i altres . "Gene Ontology Function prediction in Mollicutes using Protein-Protein Association Networks". A: Bmc Systems Biology, 2011, vol. 5, pàg. 49. ca_ES
dc.identifier.issn 1752-0509
dc.identifier.uri http://hdl.handle.net/10854/1904
dc.description.abstract Abstract Background: Many complex systems can be represented and analysed as networks. The recent availability of large-scale datasets, has made it possible to elucidate some of the organisational principles and rules that govern their function, robustness and evolution. However, one of the main limitations in using protein-protein interactions for function prediction is the availability of interaction data, especially for Mollicutes. If we could harness predicted interactions, such as those from a Protein-Protein Association Networks (PPAN), combining several protein-protein network function-inference methods with semantic similarity calculations, the use of protein-protein interactions for functional inference in this species would become more potentially useful. Results: In this work we show that using PPAN data combined with other approximations, such as functional module detection, orthology exploitation methods and Gene Ontology (GO)-based information measures helps to predict protein function in Mycoplasma genitalium. Conclusions: To our knowledge, the proposed method is the first that combines functional module detection among species, exploiting an orthology procedure and using information theory-based GO semantic similarity in PPAN of the Mycoplasma species. The results of an evaluation show a higher recall than previously reported methods that focused on only one organism network. ca_ES
dc.format application/pdf
dc.format.extent 11 p. ca_ES
dc.language.iso eng ca_ES
dc.publisher BioMed Central ca_ES
dc.relation.uri http://www.biomedcentral.com/1752-0509/5/49
dc.rights Aquest document està subjecte a aquesta llicència Creative Commons
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.other Genètica ca_ES
dc.title Gene Ontology Function prediction in Mollicutes using Protein-Protein Association Networks ca_ES
dc.type info:eu-repo/semantics/article ca_ES
dc.rights.accesRights info:eu-repo/semantics/openAccess
dc.indexacio Indexat a SCOPUS
dc.indexacio Indexat a WOS/JCR ca_ES

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