articleiMetaApr 11, 2024GOLD OA

Visualizing set relationships: EVenn's comprehensive approach to Venn diagrams

MYMei YangTCTong ChenYLYongxin LiuLHLuqi Huang

Tianjin University of Traditional Chinese Medicine · Chinese Academy of Medical Sciences & Peking Union Medical College · +3 more institutions

PubMed
Indexed incrossrefdoajpubmed

Abstract

Venn diagrams serve as invaluable tools for visualizing set relationships due to their ease of interpretation. Widely applied across diverse disciplines such as metabolomics, genomics, transcriptomics, and proteomics, their utility is undeniable. However, the operational complexity has been compounded by the absence of standardized data formats and the need to switch between various platforms for generating different Venn diagrams. To address these challenges, we introduce the EVenn platform, a versatile tool offering a unified interface for efficient data exploration and visualization of diverse Venn diagrams. EVenn (http://www.ehbio.com/test/venn) streamlines the data upload process with a standardized…

Citation impact

129
total citations
FWCI
27.20
Percentile
100%
References
34
Citations per year

Authors

4

Topics & keywords

Topics
Keywords
  • Venn diagram
  • Computer science
  • Upload
  • Visualization
  • Set (abstract data type)
  • Data science
  • Data visualization
  • Data mining
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