RT Journal Article
SR Electronic
T1 EasyPubPlot: a shiny web application for rapid omics data exploration and visualization
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2024.11.26.625339
DO 10.1101/2024.11.26.625339
A1 Tien, Nguyen Tran Nam
A1 Thu, Nguyen Quang
A1 Kim, Dong Hyun
A1 Park, Seongoh
A1 Long, Nguyen Phuoc
YR 2024
UL http://biorxiv.org/content/early/2024/11/28/2024.11.26.625339.abstract
AB 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, 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 for 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 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).Competing Interest StatementThe authors have declared no competing interest.