GOplot: an R package for visually combining expression data with functional analysis.
Bioinformatics
; 31(17): 2912-4, 2015 Sep 01.
Article
en En
| MEDLINE
| ID: mdl-25964631
ABSTRACT
UNLABELLED 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.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Gráficos por Computador
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Lenguajes de Programación
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Programas Informáticos
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Análisis de Secuencia de ADN
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Biología Computacional
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Perfilación de la Expresión Génica
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Redes Reguladoras de Genes
Tipo de estudio:
Prognostic_studies
Límite:
Humans
Idioma:
En
Revista:
Bioinformatics
Asunto de la revista:
INFORMATICA MEDICA
Año:
2015
Tipo del documento:
Article