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dc.creatorMateos García, Danieles
dc.creatorRiquelme Santos, José Cristóbales
dc.creatorAguilar Ruiz, Jesús Salvadores
dc.date.accessioned2016-04-01T10:35:51Z
dc.date.available2016-04-01T10:35:51Z
dc.date.issued2004
dc.identifier.urihttp://hdl.handle.net/11441/39341
dc.description.abstractSegmentation algorithms differ from clustering algorithms with regard to how to deal with the physical location of genes throughout the sequence. Therefore, segments have to keep the original positions of consecutive genes, which is not a constraint for clustering algorithms. It has been proven that exist functional relations among neighbour-genes, so the localization of the boundaries between these functionally similar groups of genes has turned out an important challenge. In this paper, we present an evolutionary algorithm to segment the yeast genome.es
dc.formatapplication/pdfes
dc.language.isoenges
dc.relation.ispartofSAC '04 Proceedings of the 2004 ACM symposium on Applied computing, pp.1026-1027 (2004)es
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleEvolutionary segmentation of yeast genomees
dc.typeinfo:eu-repo/semantics/bookPartes
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticoses
dc.identifier.doihttp://dx.doi.org/10.1145/967900.968108es
dc.identifier.idushttps://idus.us.es/xmlui/handle/11441/39341

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