Ignatchenko Vladimir, Ignatchenko Alexandr, Sinha Ankit, Boutros Paul C, Kislinger Thomas
Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Proteomics. 2015 Apr;15(7):1239-44. doi: 10.1002/pmic.201400320. Epub 2015 Jan 23.
Venn diagrams are graphical representations of the relationships among multiple sets of objects and are often used to illustrate similarities and differences among genomic and proteomic datasets. All currently existing tools for producing Venn diagrams evince one of two traits; they require expertise in specific statistical software packages (such as R), or lack the flexibility required to produce publication-quality figures. We describe a simple tool that addresses both shortcomings, Venn Diagram Interactive Software (VennDIS), a JavaFX-based solution for producing highly customizable, publication-quality Venn, and Euler diagrams of up to five sets. The strengths of VennDIS are its simple graphical user interface and its large array of customization options, including the ability to modify attributes such as font, style and position of the labels, background color, size of the circle/ellipse, and outline color. It is platform independent and provides real-time visualization of figure modifications. The created figures can be saved as XML files for future modification or exported as high-resolution images for direct use in publications.
维恩图是多组对象之间关系的图形表示,常用于说明基因组和蛋白质组数据集之间的异同。目前所有用于生成维恩图的工具都表现出以下两种特征之一:它们需要特定统计软件包(如R)方面的专业知识,或者缺乏生成可用于发表的高质量图形所需的灵活性。我们描述了一种简单的工具,它解决了这两个缺点,即维恩图交互式软件(VennDIS),这是一种基于JavaFX的解决方案,用于生成高度可定制的、可用于发表的维恩图以及最多包含五组的欧拉图。VennDIS的优势在于其简单的图形用户界面以及大量的定制选项,包括能够修改诸如标签的字体、样式和位置、背景颜色、圆/椭圆的大小以及轮廓颜色等属性。它与平台无关,并提供图形修改的实时可视化。创建的图形可以保存为XML文件以便将来修改,或者导出为高分辨率图像以便直接用于出版物中。
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