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GOplot: an R package for visually combining expression data with functional analysis
Author(s) -
Wencke Walter,
Fátima SánchezCabo,
Mercedes Ricote
Publication year - 2015
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btv300
Subject(s) - venn diagram , plot (graphics) , computer science , r package , visualization , scatter plot , graphics , bar chart , set (abstract data type) , data mining , representation (politics) , source code , information retrieval , computer graphics (images) , programming language , machine learning , statistics , mathematics , mathematics education , politics , political science , law
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.

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