GOplot: an R package for visually combining expression data with functional analysis
GOplot: an R package for visually combining expression data with functional analysis
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DOI：
10.1093/bioinformatics/btv300
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发表时间：
2015-09-01
期刊：
影响因子：
5.8
通讯作者：
Ricote, Mercedes
中科院分区：
文献类型：
--
作者：
Walter, Wencke;Sanchez-Cabo, Fatima;Ricote, Mercedes
尽管有大量用于组学数据功能分析的方法，但要全面且详细地理解结果仍然具有挑战性。这主要是由于缺乏用于此类信息可视化的公开可用工具。在此，我们介绍一个基于ggplot2的R包，名为GOplot，用于增强图形表示。我们的包接受任何常规富集分析的输出，并生成不同详细程度的图表：从用于识别最富集类别（柱状图、气泡图）的总体概述，到针对给定类别集中的分子显示不同类型信息的更详细视图（圆形图、弦图、聚类图）。该包能更深入地洞察组学数据，并使科学家仅用几行代码就能生成有深刻见解的图表，以便轻松传达研究结果。
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.