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dc.contributor.authorSantamaría Vicente, Rodrigo 
dc.contributor.authorTherón Sánchez, Roberto 
dc.contributor.authorDurán, Laura
dc.contributor.authorGarcía Holgado, Alicia 
dc.contributor.authorGonzález, Sara
dc.contributor.authorSánchez, Mar
dc.contributor.authorAntequera Márquez, Francisco
dc.date.accessioned2024-01-16T09:01:22Z
dc.date.available2024-01-16T09:01:22Z
dc.date.issued2019-07-01
dc.identifier.issn1367-4803
dc.identifier.urihttp://hdl.handle.net/10366/154276
dc.description.abstract[EN]The Burrows-Wheeler transform (BWT) is widely used for the fast alignment of high-throughput sequence data. This method also has potential applications in other areas of bioinformatics, and it can be specially useful for the fast searching of patterns on coverage data from different sources. We present a nucleosome pattern search method that converts levels of nucleosomal occupancy to a sequence-like format to which BWT searches can be applied. The method is embedded in a nucleosome map browser, 'Nucleosee', an interactive visual tool specifically designed to enhance BWT searches, giving them context and making them suitable for visual discourse analysis of the results. The proposed method is fast, flexible and sufficiently generic for the exploration of data in a broad and interactive way. The proposed algorithm and visual browser are available for testing at http://cpg3.der.usal.es/nucleosee. The source code and installation packages are also available at https://github.com/rodrigoSantamaria/nucleosee. Supplementary data are available at Bioinformatics online.es_ES
dc.language.isoenges_ES
dc.rightsAtribución-NoComercial-CompartirIgual 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.subjectBurrows-Wheeler Transformes_ES
dc.subjectNucleosome mapses_ES
dc.subjectVisual Analyticses_ES
dc.subjectInformation Visualizationes_ES
dc.subjectGenome Browseres_ES
dc.subject.meshSoftware *
dc.subject.meshNucleosomes *
dc.subject.meshGenome *
dc.subject.meshAlgorithms *
dc.titleGenome-wide search of nucleosome patterns using visual analytics.es_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publishversionhttps://doi.org/10.1093/bioinformatics/bty971es_ES
dc.identifier.doi10.1093/bioinformatics/bty971
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.pmid30496344
dc.identifier.essn1367-4811
dc.journal.titleBioinformaticses_ES
dc.volume.number35es_ES
dc.issue.number13es_ES
dc.page.initial2185es_ES
dc.page.final2192es_ES
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES
dc.subject.decsnucleosomas *
dc.subject.decsprogramas informáticos *
dc.subject.decsalgoritmos *
dc.subject.decsgenoma *


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