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dc.contributor.authorWalter, Wencke 
dc.contributor.authorSanchez-Cabo, Fatima 
dc.contributor.authorRicote, Mercedes 
dc.date.accessioned2020-05-05T09:26:14Z
dc.date.available2020-05-05T09:26:14Z
dc.date.issued2015-09-01
dc.identifier.citationBioinformatics. 2015; 31(17):2912-4es_ES
dc.identifier.issn1367-4803es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/9890
dc.description.abstractUNLABELLED: Despite the plethora of methods available for the functional analysis of omics data, obtaining comprehensive-yet detailed understanding of the results remains challenging. This is mainly due to the lack of publicly available tools for the visualization of this type of information. Here we present an R package called GOplot, based on ggplot2, for enhanced graphical representation. Our package takes the output of any general enrichment analysis and generates plots at different levels of detail: from a general overview to identify the most enriched categories (bar plot, bubble plot) to a more detailed view displaying different types of information for molecules in a given set of categories (circle plot, chord plot, cluster plot). The package provides a deeper insight into omics data and allows scientists to generate insightful plots with only a few lines of code to easily communicate the findings. AVAILABILITY AND IMPLEMENTATION: The R package GOplot is available via CRAN-The Comprehensive R Archive Network: http://cran.r-project.org/web/packages/GOplot. The shiny web application of the Venn diagram can be found at: https://wwalter.shinyapps.io/Venn/. A detailed manual of the package with sample figures can be found at https://wencke.github.io/ CONTACT: fscabo@cnic.es or mricote@cnic.es.es_ES
dc.description.sponsorshipSpanish Ministry of Economy and Competitiveness [SAF2012-31483]; Fundacion Marato TV3; European Commision FP7 [CardioNext-ITN-608027]; Spanish Ministry of Economy and Competitiveness; Pro-CNIC Foundationes_ES
dc.language.isoenges_ES
dc.publisherOxford University Press es_ES
dc.type.hasVersionAMes_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subject.meshComputational Biology es_ES
dc.subject.meshData Interpretation, Statisticales_ES
dc.subject.meshHumans es_ES
dc.subject.meshSequence Analysis, DNA es_ES
dc.subject.meshWeb Browser es_ES
dc.subject.meshComputer Graphics es_ES
dc.subject.meshGene Expression Profiling es_ES
dc.subject.meshGene Regulatory Networks es_ES
dc.subject.meshProgramming Languages es_ES
dc.subject.meshSoftware es_ES
dc.titleGOplot: an R package for visually combining expression data with functional analysises_ES
dc.typejournal articlees_ES
dc.rights.licenseAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.identifier.pubmedID25964631es_ES
dc.format.volume31es_ES
dc.format.number17es_ES
dc.format.page2912-4es_ES
dc.identifier.doi10.1093/bioinformatics/btv300es_ES
dc.contributor.funderMinisterio de Economía y Competitividad (España) 
dc.contributor.funderUnión Europea. Comisión Europea 
dc.contributor.funderFundación ProCNIC 
dc.description.peerreviewedes_ES
dc.identifier.e-issn1367-4811es_ES
dc.relation.publisherversionhttps://doi.org/10.1093/bioinformatics/btv300es_ES
dc.identifier.journalBioinformatics (Oxford, England)es_ES
dc.repisalud.orgCNICCNIC::Grupos de investigación::Señalización de los Receptores Nucleareses_ES
dc.repisalud.orgCNICCNIC::Unidades técnicas::Bioinformáticaes_ES
dc.repisalud.institucionCNICes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/608027es_ES
dc.rights.accessRightsopen accesses_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Este Item está sujeto a una licencia Creative Commons: Attribution-NonCommercial-NoDerivatives 4.0 Internacional