Visualizing set relationships: EVenn's comprehensive approach to Venn diagrams
- PMID: 38898979
- PMCID: PMC11183158
- DOI: 10.1002/imt2.184
Visualizing set relationships: EVenn's comprehensive approach to Venn diagrams
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 format, enhancing the capabilities for multimodule analysis. This comprehensive protocol outlines various applications of EVenn, featuring representative results of multiple Venn diagrams, data uploads in the centralized data center, and step-by-step case demonstrations. Through these functionalities, EVenn emerges as a valuable and user-friendly tool for the in-depth exploration of multiomics data.
Keywords: Euler diagram; UpSet plot; Venn network diagram; flower plot; interactive Venn diagram; multiomics data visualization; standardized data formats.
© 2024 The Authors. iMeta published by John Wiley & Sons Australia, Ltd on behalf of iMeta Science.
Conflict of interest statement
The authors declare no conflict of interest.
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References
-
- Ichihashi Yasunori, Date Yasuhiro, Shino Amiu, Shimizu Tomoko, Shibata Arisa, Kumaishi Kie, Funahashi Fumiaki et al. 2020. “Multi‐Omics Analysis on an Agroecosystem Reveals the Significant Role of Organic Nitrogen to Increase Agricultural Crop Yield.” Proceedings of the National Academy of Sciences of the United States of America 117(25): 14552–14560 10.1073/pnas.1917259117 - DOI - PMC - PubMed
-
- Liang, Xinxiu , Miao Zelei, Lu Sha, Ye Meng, Wang Jiali, Zhao Hui, CongmeiXiao , et al. 2023. “Integration of Multiomics with Precision Nutrition for Gestational Diabetes: Study Protocol for the Westlake Precision Birth Cohort.” iMeta 2: e96. 10.1002/imt2.96 - DOI
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