Informatics and Biocomputing Platform, Ontario Institute for Cancer Research, MaRS Centre, South Tower, 101 College Street, Suite 800, Toronto, Ontario, M5G 0A3, Canada.
BMC Bioinformatics. 2011 Jan 26;12:35. doi: 10.1186/1471-2105-12-35.
BACKGROUND: Visualization of orthogonal (disjoint) or overlapping datasets is a common task in bioinformatics. Few tools exist to automate the generation of extensively-customizable, high-resolution Venn and Euler diagrams in the R statistical environment. To fill this gap we introduce VennDiagram, an R package that enables the automated generation of highly-customizable, high-resolution Venn diagrams with up to four sets and Euler diagrams with up to three sets. RESULTS: The VennDiagram package offers the user the ability to customize essentially all aspects of the generated diagrams, including font sizes, label styles and locations, and the overall rotation of the diagram. We have implemented scaled Venn and Euler diagrams, which increase graphical accuracy and visual appeal. Diagrams are generated as high-definition TIFF files, simplifying the process of creating publication-quality figures and easing integration with established analysis pipelines. CONCLUSIONS: The VennDiagram package allows the creation of high quality Venn and Euler diagrams in the R statistical environment.
背景:在生物信息学中,可视化正交(不相交)或重叠数据集是一项常见任务。很少有工具能够在 R 统计环境中自动生成可广泛定制的、高分辨率的 Venn 和 Euler 图。为了填补这一空白,我们引入了 VennDiagram,这是一个 R 包,它能够自动生成具有多达四个集的高度可定制的、高分辨率的 Venn 图和具有多达三个集的 Euler 图。
结果:VennDiagram 包为用户提供了几乎所有生成图的方面的定制能力,包括字体大小、标签样式和位置,以及图的整体旋转。我们已经实现了缩放的 Venn 和 Euler 图,这提高了图形的准确性和视觉吸引力。图以高清晰度 TIFF 文件生成,简化了创建出版质量的图形的过程,并简化了与既定分析管道的集成。
结论:VennDiagram 包允许在 R 统计环境中创建高质量的 Venn 和 Euler 图。
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