ggVennDiagram: Intuitive Venn diagram software extended

Venn diagram

Authors
Affiliations

Chun-Hui Gao

College of Resources and Environment, Huazhong Agricultural University, China

Chengjie Chen

South China Agricultural University

Turgut Akyol

Department of Molecular Biology and Genetics, Aarhus University

Adrian Dușa

Department of Sociology, University of Bucharest

Guangchuang Yu

Department of Bioinformatics, Southern Medical University, China

Bin Cao

School of Civil and Environmental Engineering , Nanyang Technological University, Singapore

Peng Cai

College of Resources and Environment, Huazhong Agricultural University, China

Published

2024

Abstract

Venn diagrams are widely used to illustrate relationships among multiple datasets. As one of the most popular data visualization platforms, the R programming language stands out with numerous packages, including VennDiagram, venn, and RVenn, designed for plotting Venn diagrams. Building upon the foundations laid by these existing tools, we developed ggVennDiagram. Due to the support for the grammar of graphics, precise region/subset filling, and some other easy-to-use features, the ggVennDiagram package has emerged as one of the most favored tools in this domain.

Citation

BibTeX citation:
@article{gao2024,
  author = {Gao, Chun-Hui and Chen, Chengjie and Akyol, Turgut and Dușa,
    Adrian and Yu, Guangchuang and Cao, Bin and Cai, Peng},
  publisher = {Wiley},
  title = {ggVennDiagram: {Intuitive} {Venn} Diagram Software Extended},
  journal = {iMeta},
  volume = {3},
  number = {1},
  date = {2024-02-14},
  url = {https://onlinelibrary.wiley.com/doi/10.1002/imt2.177},
  doi = {10.1002/imt2.177},
  issn = {2770-5986},
  langid = {en}
}
For attribution, please cite this work as:
Gao, Chun-Hui, Chengjie Chen, Turgut Akyol, Adrian Dușa, Guangchuang Yu, Bin Cao, and Peng Cai. 2024. “ggVennDiagram: Intuitive Venn Diagram Software Extended.” iMeta 3 (1). https://doi.org/10.1002/imt2.177.