Find differential expressed genes with "DESeq2" in RStudio.
Event box
Print the page
Add to a Calendar using iCal
Share page on Facebook
This link opens in a new window
Add to Google Calendar
This link opens in a new window
Share page on Twitter
This link opens in a new window
Find differential expressed genes with "DESeq2" in RStudio. In-Person
Registration required* and In-Person
Summary:
In this session, we will teach you the basics of analyzing transcriptomic data, specifically on how to find differential expressed genes using the popular package "DESeq2", for which you will need to use R programming language. Importantly, you will learn about the statistical methodology behind the setup of your experimental design so you can be confident that the results you get will be biologically meaningful.
You will learn how to:
- Retrieve processed data from GREIN repository
- Read files into RStudio (package = readr)
- Assemble a DESeq2 matrix
- Setup the appropriate design matrix
- Perform basic data visualization (e.g. PCA plot, MA plot)
- Save and organize processed data files and results
Requirements:
- Basic knowledge of R programming language
- Bring a laptop with R and RStudio installed and running (download from here).
- Date:
- Wednesday, May 13, 2026
- Time:
- 10:00am - 12:00pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Location:
- SHM L 111, Cushing/Whitney Medical Library, 333 Cedar Street
- Campus:
- Medical School
- Categories:
- Bioinformatics
Registration has closed.
Event Organizer
Ted Ellsworth
Sofia Fertuzinhos