Optimal clone identifier based on dynamic rules and process algebra

Detalhes bibliográficos
Autor(a) principal: Cantão, Mauricio E.
Data de Publicação: 2009
Outros Autores: Araújo, Luciano V., Lemos, Eliana G. M. [UNESP], Ferreira, João E.
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/71457
Resumo: The 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.
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spelling Optimal clone identifier based on dynamic rules and process algebraDna microarrayNpdlOptimal clonesProcess algebraScientific workflowDNA micro-arrayProcess algebrasScientific workflowsAlgebraBacteriaBioinformaticsCloningGenesOptimizationProcess controlThe 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.Department of Computer Science University of São Paulo, São Paulo, SPSchool of Arts, Sciences and Humanities University of São Paulo, São Paulo, SPDepartment of Technology São Paulo State University, Jaboticabal, SPDepartment of Technology São Paulo State University, Jaboticabal, SPUniversidade de São Paulo (USP)Universidade Estadual Paulista (Unesp)Cantão, Mauricio E.Araújo, Luciano V.Lemos, Eliana G. M. [UNESP]Ferreira, João E.2014-05-27T11:24:34Z2014-05-27T11:24:34Z2009-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject92-99International Conference on Bioinformatics, Computational Biology, Genomics and Chemoinformatics 2009, BCBGC 2009, p. 92-99.http://hdl.handle.net/11449/714572-s2.0-84878160710Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Conference on Bioinformatics, Computational Biology, Genomics and Chemoinformatics 2009, BCBGC 2009info:eu-repo/semantics/openAccess2024-06-07T15:33:01Zoai:repositorio.unesp.br:11449/71457Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:47:36.088362Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Optimal clone identifier based on dynamic rules and process algebra
title Optimal clone identifier based on dynamic rules and process algebra
spellingShingle Optimal clone identifier based on dynamic rules and process algebra
Cantão, Mauricio E.
Dna microarray
Npdl
Optimal clones
Process algebra
Scientific workflow
DNA micro-array
Process algebras
Scientific workflows
Algebra
Bacteria
Bioinformatics
Cloning
Genes
Optimization
Process control
title_short Optimal clone identifier based on dynamic rules and process algebra
title_full Optimal clone identifier based on dynamic rules and process algebra
title_fullStr Optimal clone identifier based on dynamic rules and process algebra
title_full_unstemmed Optimal clone identifier based on dynamic rules and process algebra
title_sort Optimal clone identifier based on dynamic rules and process algebra
author Cantão, Mauricio E.
author_facet Cantão, Mauricio E.
Araújo, Luciano V.
Lemos, Eliana G. M. [UNESP]
Ferreira, João E.
author_role author
author2 Araújo, Luciano V.
Lemos, Eliana G. M. [UNESP]
Ferreira, João E.
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade de São Paulo (USP)
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Cantão, Mauricio E.
Araújo, Luciano V.
Lemos, Eliana G. M. [UNESP]
Ferreira, João E.
dc.subject.por.fl_str_mv Dna microarray
Npdl
Optimal clones
Process algebra
Scientific workflow
DNA micro-array
Process algebras
Scientific workflows
Algebra
Bacteria
Bioinformatics
Cloning
Genes
Optimization
Process control
topic Dna microarray
Npdl
Optimal clones
Process algebra
Scientific workflow
DNA micro-array
Process algebras
Scientific workflows
Algebra
Bacteria
Bioinformatics
Cloning
Genes
Optimization
Process control
description The 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.
publishDate 2009
dc.date.none.fl_str_mv 2009-12-01
2014-05-27T11:24:34Z
2014-05-27T11:24:34Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv International Conference on Bioinformatics, Computational Biology, Genomics and Chemoinformatics 2009, BCBGC 2009, p. 92-99.
http://hdl.handle.net/11449/71457
2-s2.0-84878160710
identifier_str_mv International Conference on Bioinformatics, Computational Biology, Genomics and Chemoinformatics 2009, BCBGC 2009, p. 92-99.
2-s2.0-84878160710
url http://hdl.handle.net/11449/71457
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv International Conference on Bioinformatics, Computational Biology, Genomics and Chemoinformatics 2009, BCBGC 2009
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 92-99
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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