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

  • Nguyen Tran Nam Tien
  • , Nguyen Quang Thu
  • , Dong Hyun Kim
  • , Seongoh Park*
  • , Nguyen Phuoc Long*
  • *Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

3 Scopus 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).

Original languageEnglish
Pages (from-to)2188-2195
Number of pages8
JournalJournal of Proteome Research
Volume24
Issue number4
DOIs
StatePublished - 04 04 2025
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2025 American Chemical Society.

Keywords

  • data visualization
  • exploratory data analysis
  • metabolomics
  • proteomics
  • shiny app
  • transcriptomics

Fingerprint

Dive into the research topics of 'EasyPubPlot: A Shiny Web Application for Rapid Omics Data Exploration and Visualization'. Together they form a unique fingerprint.

Cite this