Publication:
GOplot: an R package for visually combining expression data with functional analysis

dc.contributor.authorWalter, Wencke
dc.contributor.authorSanchez-Cabo, Fatima
dc.contributor.authorRicote, Mercedes
dc.contributor.funderMinisterio de Economía y Competitividad (España)
dc.contributor.funderUnión Europea. Comisión Europea
dc.contributor.funderFundación ProCNIC
dc.date.accessioned2020-05-05T09:26:14Z
dc.date.available2020-05-05T09:26:14Z
dc.date.issued2015-09-01
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.peerreviewedes_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.format.number17es_ES
dc.format.page2912-4es_ES
dc.format.volume31es_ES
dc.identifier.citationBioinformatics. 2015; 31(17):2912-4es_ES
dc.identifier.doi10.1093/bioinformatics/btv300es_ES
dc.identifier.e-issn1367-4811es_ES
dc.identifier.issn1367-4803es_ES
dc.identifier.journalBioinformatics (Oxford, England)es_ES
dc.identifier.pubmedID25964631es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/9890
dc.language.isoenges_ES
dc.publisherOxford University Presses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/608027es_ES
dc.relation.publisherversionhttps://doi.org/10.1093/bioinformatics/btv300es_ES
dc.repisalud.institucionCNICes_ES
dc.repisalud.orgCNICCNIC::Grupos de investigación::Señalización de los Receptores Nucleareses_ES
dc.repisalud.orgCNICCNIC::Unidades técnicas::Bioinformáticaes_ES
dc.rights.accessRightsopen accesses_ES
dc.rights.licenseAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subject.meshComputational Biologyes_ES
dc.subject.meshData Interpretation, Statisticales_ES
dc.subject.meshHumanses_ES
dc.subject.meshSequence Analysis, DNAes_ES
dc.subject.meshWeb Browseres_ES
dc.subject.meshComputer Graphicses_ES
dc.subject.meshGene Expression Profilinges_ES
dc.subject.meshGene Regulatory Networkses_ES
dc.subject.meshProgramming Languageses_ES
dc.subject.meshSoftwarees_ES
dc.titleGOplot: an R package for visually combining expression data with functional analysises_ES
dc.typejournal articlees_ES
dc.type.hasVersionAMes_ES
dspace.entity.typePublication
relation.isAuthorOfPublication0104dba0-0951-4582-95fe-7822d35ccc04
relation.isAuthorOfPublicationecd7f1e7-2399-4c06-bbc6-d1a2e86c0fbe
relation.isAuthorOfPublicationde41517f-d151-4bb6-8cf3-44f28ec51849
relation.isAuthorOfPublication.latestForDiscovery0104dba0-0951-4582-95fe-7822d35ccc04

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