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ggVennDiagram: An Intuitive, Easy-to-Use, and Highly Customizable R Package to Generate Venn Diagram.

作者信息

Gao Chun-Hui, Yu Guangchuang, Cai Peng

机构信息

State Key Laboratory of Agricultural Microbiology, State Environmental Protection Key Laboratory of Soil Health and Green Remediation, College of Resources and Environment, Huazhong Agricultural University, Wuhan, China.

Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.

出版信息

Front Genet. 2021 Sep 7;12:706907. doi: 10.3389/fgene.2021.706907. eCollection 2021.


DOI:10.3389/fgene.2021.706907
PMID:34557218
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8452859/
Abstract

Venn diagrams are widely used diagrams to show the set relationships in biomedical studies. In this study, we developed ggVennDiagram, an R package that could automatically generate high-quality Venn diagrams with two to seven sets. The ggVennDiagram is built based on ggplot2, and it integrates the advantages of existing packages, such as venn, RVenn, VennDiagram, and sf. Satisfactory results can be obtained with minimal configurations. Furthermore, we designed comprehensive objects to store the entire data of the Venn diagram, which allowed free access to both intersection values and Venn plot sub-elements, such as set label/edge and region label/filling. Therefore, high customization of every Venn plot sub-element can be fulfilled without increasing the cost of learning when the user is familiar with ggplot2 methods. To date, ggVennDiagram has been cited in more than 10 publications, and its source code repository has been starred by more than 140 GitHub users, suggesting a great potential in applications. The package is an open-source software released under the GPL-3 license, and it is freely available through CRAN (https://cran.r-project.org/package=ggVennDiagram).

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/273b/8452859/6260712d48cc/fgene-12-706907-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/273b/8452859/b66b82216344/fgene-12-706907-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/273b/8452859/6ef0c8a7ebdd/fgene-12-706907-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/273b/8452859/ee654a138cf8/fgene-12-706907-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/273b/8452859/6260712d48cc/fgene-12-706907-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/273b/8452859/b66b82216344/fgene-12-706907-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/273b/8452859/6ef0c8a7ebdd/fgene-12-706907-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/273b/8452859/ee654a138cf8/fgene-12-706907-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/273b/8452859/6260712d48cc/fgene-12-706907-g004.jpg

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ggVennDiagram: An Intuitive, Easy-to-Use, and Highly Customizable R Package to Generate Venn Diagram.

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本文引用的文献

[1]
Spatially resolved sampling for untargeted metabolomics: A new tool for salivomics.

iScience. 2021-6-24

[2]
Mutational Landscape of Virus- and UV-Associated Merkel Cell Carcinoma Cell Lines Is Comparable to Tumor Tissue.

Cancers (Basel). 2021-2-5

[3]
Transcriptomic profiling of responses to .

Innate Immun. 2021-2

[4]
The American lifestyle-induced obesity syndrome diet in male and female rodents recapitulates the clinical and transcriptomic features of nonalcoholic fatty liver disease and nonalcoholic steatohepatitis.

Am J Physiol Gastrointest Liver Physiol. 2020-8-5

[5]
A low-bias and sensitive small RNA library preparation method using randomized splint ligation.

Nucleic Acids Res. 2020-8-20

[6]
UpSetR: an R package for the visualization of intersecting sets and their properties.

Bioinformatics. 2017-9-15

[7]
UpSet: Visualization of Intersecting Sets.

IEEE Trans Vis Comput Graph. 2014-12

[8]
InteractiVenn: a web-based tool for the analysis of sets through Venn diagrams.

BMC Bioinformatics. 2015-5-22

[9]
VennDiagram: a package for the generation of highly-customizable Venn and Euler diagrams in R.

BMC Bioinformatics. 2011-1-26

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