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

IF 23.7 Q1 MICROBIOLOGY
iMeta Pub Date : 2024-04-11 DOI:10.1002/imt2.184
Mei Yang, Tong Chen, Yong-Xin Liu, Luqi Huang
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引用次数: 0

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.

Abstract Image

将集合关系可视化:EVenn 的维恩图综合方法
维恩图易于解释,是可视化集合关系的宝贵工具。维恩图广泛应用于代谢组学、基因组学、转录组学和蛋白质组学等不同学科,其实用性毋庸置疑。然而,由于缺乏标准化的数据格式,而且需要在各种平台之间切换以生成不同的维恩图,这就加剧了操作的复杂性。为了应对这些挑战,我们推出了 EVenn 平台,它是一种多功能工具,提供统一的界面,用于高效地探索数据并将不同的维恩图可视化。EVenn (http://www.ehbio.com/test/venn) 采用标准化格式简化了数据上传过程,增强了多模块分析能力。该综合协议概述了 EVenn 的各种应用,包括多个维恩图的代表性结果、集中数据中心的数据上传以及分步案例演示。通过这些功能,EVenn 成为了深入探索多组学数据的一个有价值且用户友好的工具。
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CiteScore
10.80
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0.00%
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