Plotgardener App: a graphical interface for publication-ready genomic visualization

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ID: 326558
2026
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Abstract
Abstract Summary Plotgardener is an R package used for generating high-quality genomic visualizations. Despite its broad range of functions and versatility, its reliance on code presents a barrier for many potential users. To address this, we developed a macOS desktop application version of Plotgardener that enables users to create publication-ready genomic plots with no programming experience. The application employs a modular architecture comprising an Electron.js backend, a React frontend, and a Python parser that dynamically analyzes the Plotgardener package to ensure interface fields remain synchronized with package updates. By lowering the technical barrier to advanced genomic visualization, the Plotgardener desktop application broadens access to powerful visualization workflows for researchers and clinicians. Availability The current release of the Plotgardener App is an open source macOS desktop application built with Electron (Node.js), featuring a React frontend and a Python-based parser. The download link is available at https://phanstiellab.github.io/plotgardener/articles/guides/plotgardenerApp.html and on Zenodo (doi: https://doi.org/10.5281/zenodo.21684228). The source code is hosted on GitHub at https://github.com/rishabhsvemuri/ThePlotgardenerApp. Supplementary information The original R package documentation can be found at https://phanstiellab.github.io/plotgardener/.
Reference Key
openalex_W7171619959 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Rishabh Sharma Vemuri, Abiye Berhanu, Grace Kenney, Sarah M Parker, J. Duncan Phillips, John Patrick Flores, Tooba Rashid, Douglas H. Phanstiel
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Journal BMC Bioinformatics
Year 2026
DOI
10.1093/bioinformatics/btag649
URL
https://doi.org/10.1093/bioinformatics/btag649
Keywords Keywords not found

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