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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/71457
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dc.contributor.authorCantão, Mauricio E.-
dc.contributor.authorAraújo, Luciano V.-
dc.contributor.authorLemos, Eliana G. M.-
dc.contributor.authorFerreira, João E.-
dc.date.accessioned2014-05-27T11:24:34Z-
dc.date.accessioned2016-10-25T18:28:06Z-
dc.date.available2014-05-27T11:24:34Z-
dc.date.available2016-10-25T18:28:06Z-
dc.date.issued2009-12-01-
dc.identifier.citationInternational Conference on Bioinformatics, Computational Biology, Genomics and Chemoinformatics 2009, BCBGC 2009, p. 92-99.-
dc.identifier.urihttp://hdl.handle.net/11449/71457-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/71457-
dc.description.abstractThe rule creation to clone selection in different projects is a hard task to perform by using traditional implementations to control all the processes of the system. The use of an algebraic language is an alternative approach to manage all of system flow in a flexible way. In order to increase the power of versatility and consistency in defining the rules for optimal clone selection, this paper presents the software OCI 2 in which uses process algebra in the flow behavior of the system. OCI 2, controlled by an algebraic approach was applied in the rules elaboration for clone selection containing unique genes in the partial genome of the bacterium Bradyrhizobium elkanii Semia 587 and in the whole genome of the bacterium Xanthomonas axonopodis pv. citri. Copyright© (2009) by the International Society for Research in Science and Technology.en
dc.format.extent92-99-
dc.language.isoeng-
dc.sourceScopus-
dc.subjectDna microarray-
dc.subjectNpdl-
dc.subjectOptimal clones-
dc.subjectProcess algebra-
dc.subjectScientific workflow-
dc.subjectDNA micro-array-
dc.subjectProcess algebras-
dc.subjectScientific workflows-
dc.subjectAlgebra-
dc.subjectBacteria-
dc.subjectBioinformatics-
dc.subjectCloning-
dc.subjectGenes-
dc.subjectOptimization-
dc.subjectProcess control-
dc.titleOptimal clone identifier based on dynamic rules and process algebraen
dc.typeoutro-
dc.contributor.institutionUniversidade de São Paulo (USP)-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationDepartment of Computer Science University of São Paulo, São Paulo, SP-
dc.description.affiliationSchool of Arts, Sciences and Humanities University of São Paulo, São Paulo, SP-
dc.description.affiliationDepartment of Technology São Paulo State University, Jaboticabal, SP-
dc.description.affiliationUnespDepartment of Technology São Paulo State University, Jaboticabal, SP-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofInternational Conference on Bioinformatics, Computational Biology, Genomics and Chemoinformatics 2009, BCBGC 2009-
dc.identifier.scopus2-s2.0-84878160710-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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