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

Mei Yang; Tong Chen; Yong-Xin Liu; Luqi Huang

doi:10.1002/imt2.184

iMeta ›› 2024, Vol. 3 ›› Issue (3) : 184 DOI: 10.1002/imt2.184

PROTOCOL

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

Mei Yang ¹^,²
, Tong Chen ²^,^†
, Yong-Xin Liu ³^,^†
, Luqi Huang ²^,^†

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Abstract

•Comprehensive Venn functionality: EVenn introduces a unified platform with diverse Venn diagram tools, from interactive diagrams to network representations, catering to the intricate needs of multiomics data analysis across metabolomics, genomics, transcriptomics, and proteomics.

•Efficient data exploration: EVenn’s data center streamlines exploration by supporting a standardized data format, allowing researchers to effortlessly upload and analyze data. The manuscript demonstrates its practical utility through representative results and detailed case demonstrations.

•User-friendly interface: With a user-friendly interface, EVenn simplifies the generation of various Venn diagrams, Euler diagrams, UpSet plots, and more. This protocol establishes EVenn as a valuable resource for researchers seeking a cohesive and accessible tool for multiomics data interpretation.

Keywords

Euler diagram / flower plot / interactive Venn diagram / multiomics data visualization / standardized data formats / UpSet plot / Venn network diagram

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Mei Yang, Tong Chen, Yong-Xin Liu, Luqi Huang. Visualizing set relationships: EVenn’s comprehensive approach to Venn diagrams. iMeta, 2024, 3(3): 184 DOI:10.1002/imt2.184