VennDiagram: a package for the generation of highly-customizable Venn and Euler diagrams in R

By Hanbo Chen, Paul C. Boutros. BMC Bioinformatics, 2011

2,780 citations recorded by the source corpus.

BackgroundVisualization 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.ResultsThe 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.ConclusionsThe VennDiagram package allows the creation of high quality Venn and Euler diagrams in the R statistical environment.

Subfields: Artificial Intelligence, Biophysics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/780725e727d6cc7a8c32dd613540960457bf188a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Tong Chen
2. Alexander Lex
3. Nils Gehlenborg
4. J. R. Conway
5. Luqi Huang
6. Peng Cai
7. Yong-xin Liu
8. Hao Wu

In Biophysics

1. Tong Chen
2. Alexander Lex
3. Nils Gehlenborg
4. J. R. Conway
5. Luqi Huang
6. Peng Cai
7. Yong-xin Liu
8. Hao Wu

In Molecular Biology

1. Hao Wu
2. Tong Chen
3. Alexander Lex
4. Nils Gehlenborg
5. J. R. Conway
6. Luqi Huang
7. Peng Cai
8. Yong-xin Liu

Citations in the corpus

• A Bayesian hierarchical model to detect differentially methylated loci from single nucleotide resolution sequencing data (2014, methodology): “Finally, to show the overlap of the detected DML from different methods with the ‘true DML’ in simulation study, a Venn Diagram generated from the R package ‘VennDiagram’ (33) is shown in Figure 4.”
• ImageGP: An easy‐to‐use data visualization web server for scientific researchers (2022, methodology): “Most plots are generated based on the R programming language with packages including ggplot2 [5], pheatmap, ggbees-warm, VennDiagram [11], ggpubr, ggrepel, vegan [12], UpSetR [13], ggfortify [14], riverplot, and other assistant packages.”
• UpSetR: an R package for the visualization of intersecting sets and their properties (2017, methodology): “Such diagrams can be generated with R packages such as venneuler (Wilkinson, 2012) and VennDiagram (Chen and Boutros, 2011).”
• ggVennDiagram: An Intuitive, Easy-to-Use, and Highly Customizable R Package to Generate Venn Diagram (2021, methodology): “…one of the most popular platforms in biomedical data visualizations, many packages are available to plot a Venn diagram including VennDiagram (Chen and Boutros, 2011), colorfulVennPlot (Noma and Manvae, 2013), venn (Dusa, 2020), nVennR (Quesada, 2021), eulerr (Larsson, 2020), venneuler…”
• Global biogeography of fungal and bacterial biomass carbon in topsoil (2020, neutral): “…figures were plotted using “agricolae” (de Mendiburu and de Mendiburu, 2019), “multcomp” (Hothorn et al., 2016), “soiltexture” (Moeys, 2018), “VennDiagram” (Chen and Boutros, 2011), “ggplot2” (Wickham et al., 2016), and “basicTrendline” (Mei et al., 2018) packages in R version 3.5.3 for Mac OS X…”