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(opens in new window)
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(opens in new window)
• Covid19 cases: click here(opens in new window)
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.(opens in new window)
A full list of courses with dates is on our website here(opens in new window).
If you have any questions about training or support for bioinformatic analysis, please email us at brc@rockefeller.edu.