Introduction to Shiny Course
The Bioinformatics Resource Center invites you to the following course as a part of our bioinformatics learning series.
Doug Barrows
Topic: Introduction to Shiny
Date: 04/08/25
Time: 9:30am-4:30 pm,
Location: Weiss 305
Register Now
Shiny apps make it possible to perform analyses that typically require coding with easy-to-use graphical user interfaces. If you or your lab have complex data sets that others might find useful, building a Shiny app around it is a great way to share these data and make them accessible and visible to a wider audience.
Here are a couple of cool examples of Shiny in action:
• Exploring cancer genomes: click here
• Covid19 cases: click here
The course is designed for those with at least a beginner’s level of experience coding in R. While the course will focus on using R to build Shiny apps, making Shiny apps with Python has recently become possible, and the concepts learned in this course will give you the foundation to build Python-based apps as well.
By the end of these sessions, participants will understand the basics of Shiny and have the ability to make a simple app, along with all the tools needed to make much more complex apps in the future.
During subsequent sessions in the Bioinformatics Resource Center Learning Series, we will cover a variety of topics for all experience levels.
Register here.
A full list of courses with dates is on our website here.
If you have any questions about training or support for bioinformatic analysis, please email us at brc@rockefeller.edu.