Plotgardener Genomic Data Visualization Made Easy (Rishabh Sharma Vemuri & Abiye Berhanu)

Plotgardener – Genomic Data Visualization Made Easy Speaker(s): Rishabh Sharma Vemuri & Abiye Berhanu plotgardener repo - https://phanstiellab.github.io/plotgardener/ Abstract: Plotgardener is an R package with over 10,000 downloads that empowers users to programmatically generate complex, publication-quality figures based on genomic data. However, its reliance on R creates a significant barrier for users with limited coding experience. We developed an intuitive desktop application that uses Python to structure and load Plotgardener’s features, providing a seamless experience for users, including non-programmers. Built with Electron—the framework behind VSCode and Slack—the Plotgardener app provides a friendly interface allowing users to create, edit, and visualize genomic data, demonstrating how R and Python can work in harmony to expand the reach of data science tools to new audiences. posit::conf(2025) Subscribe to posit::conf updates: https://posit.co/about/subscription-management/

Transcript#

This transcript was generated automatically and may contain errors.

Another benefit is reusability. Like we said, you can download the R code from the R app itself and also save your Plotgardener session so you can continue on working what you have and also share it with others so they can build on top of what you have. And finally, is adaptability.

So, our flow of parsing the package itself and then injecting it into our application is something that can be replicated for a variety of applications.

So, we have a lot of great things that can be done with Plotgardener.

Now anyone can use the amazing capabilities of Plotgardener without having to worry about a single semicolon and make complex publication-ready visualizations.

Now anyone can use the amazing capabilities of Plotgardener without having to worry about a single semicolon and make complex publication-ready visualizations.

So, hopefully now building plots doesn't feel like putting big logs together but just snapping Legos together. And so we hope this makes it more simple, powerful and easy to use.

Closing remarks

So, with that, I'm going to turn it back over to you. Thank you.

And just before we go, we want to say thank you to everyone at the Fansteel lab, namely everyone on screen here, Dr. Doug Fansteel.

And then also a big thank you to Posit for allowing us to present our work here today. Thank you.