EasyPubPlot: A Shiny Web Application for Rapid Omics Data Exploration and Visualization

Computational toolkits for data exploration and visualization from widely used omics platforms often lack flexibility and customization. While many tools generate standardized output, advanced programming skills are necessary to create high-quality visualizations. Therefore, user-friendly tools that simplify this crucial, yet time-consuming, step are essential. We developed EasyPubPlot (Easy Publishable Plotting), a straightforward, easy-to-use, no-coding, user experience-oriented, open-source, and shiny web application along with its associated R package to streamline data exploration and visualization for functional omics-empowered research. EasyPubPlot generates publishable scores plots, volcano plots, heatmaps, box plots, dot plots, and bubble plots with minimal necessary steps. The tool was designed to guide new users to accurate and efficient navigation. Step-by-step tutorials for each type of plot are also provided. Herein, we demonstrated EasyPubPlot's competent functionality and versatility by showcasing metabolomics, proteomics, and transcriptomics data. Collectively, EasyPubPlot reduces the gap between data analysis and stunning visualization, thereby diminishing friction and focusing on science. The app can be downloaded and installed locally (https://github.com/Pharmaco-OmicsLab/EasyPubPlot) or used through a web application (https://pharmaco-omicslab.shinyapps.io/EasyPubPlot).

Authors

Institutions

Publication Details

Journal
Journal of Proteome Research
Published
2025-03-07
DOI
https://doi.org/10.1021/acs.jproteome.4c01068
Citations
6
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
4.84
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article

EasyPubPlot: A Shiny Web Application for Rapid Omics Data Exploration and Visualization

Nguyen Tran Nam Tien, Nguyen Phuoc Long, Seongoh Park, Dong Hyun Kim et al.
6 citations
Journal of Proteome Research
Metabolomics and Mass Spectrometry Studies
4.84
article

EasyPubPlot: A Shiny Web Application for Rapid Omics Data Exploration and Visualization

Nguyen Tran Nam Tien, Nguyen Phuoc Long, Seongoh Park, Dong Hyun Kim, Nguyen Quang Thu
article en
6 citations

Abstract

Computational toolkits for data exploration and visualization from widely used omics platforms often lack flexibility and customization. While many tools generate standardized output, advanced programming skills are necessary to create high-quality visualizations. Therefore, user-friendly tools that simplify this crucial, yet time-consuming, step are essential. We developed EasyPubPlot (Easy Publishable Plotting), a straightforward, easy-to-use, no-coding, user experience-oriented, open-source, and shiny web application along with its associated R package to streamline data exploration and visualization for functional omics-empowered research. EasyPubPlot generates publishable scores plots, volcano plots, heatmaps, box plots, dot plots, and bubble plots with minimal necessary steps. The tool was designed to guide new users to accurate and efficient navigation. Step-by-step tutorials for each type of plot are also provided. Herein, we demonstrated EasyPubPlot's competent functionality and versatility by showcasing metabolomics, proteomics, and transcriptomics data. Collectively, EasyPubPlot reduces the gap between data analysis and stunning visualization, thereby diminishing friction and focusing on science. The app can be downloaded and installed locally (https://github.com/Pharmaco-OmicsLab/EasyPubPlot) or used through a web application (https://pharmaco-omicslab.shinyapps.io/EasyPubPlot).

Journal of Proteome ResearchVol. 24(4)
Inje University (KR), Sungshin Women's University (KR)
Openalex Percentile: Top 5%
Metabolomics and Mass Spectrometry Studies
4.84
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EasyPubPlot: A Shiny Web Application for Rapid Omics Data Exploration and Visualization — Nguyen Tran Nam Tien, Nguyen Phuoc Long, et al. · Journal of Proteome Research (2025) | TGRS Research Map | TGRS