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GOplot

Despite the plethora of methods available for the functional analysis of omics data, obtaining comprehensive- yet detailed understanding of the results remains challenging. GOplot 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.

Installation

GOplot is available via CRAN: http://cran.r-project.org/web/packages/GOplot

  • the latest released version: install.packages("GOplot")
  • the latest development version: install_github("wencke/wencke.github.io")

Available functions

For preprocessing: circle_dat(), chord_dat() and reduce_overlap()

For plotting: GOBubble(), GOBar(), GOChord(), GOCluster(), GOCircle(), GOVenn(), GOHeat()

A manual can be found on the website https://wencke.github.io/

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Install

install.packages('GOplot')

Monthly Downloads

1,643

Version

1.0.2

License

GPL-2

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Last Published

March 30th, 2016

Functions in GOplot (1.0.2)

GOBar

Z-score coloured barplot.
chord_dat

Creates a binary matrix.
GOHeat

Displays heatmap of the relationship between genes and terms.
EC

Transcriptomic information of endothelial cells.
GOBubble

Bubble plot.
GOChord

Displays the relationship between genes and terms.
GOVenn

Venn diagram of differentially expressed genes.
GOCircle

Circular visualization of the results of a functional analysis.
GOCluster

Circular dendrogram.
circle_dat

Creates a plotting object.
reduce_overlap

Eliminates redundant terms.