Flow Cytometry Data Analysis with R/Bioconductor

Dates: 17–20 March 2025

Location: Online (to foster international participation)

This hands-on course will provide participants with practical skills for analyzing flow cytometry data using R/Bioconductor, covering key topics such as preprocessing, cell population identification, and results visualization. The methods taught are applicable to various cytometry types, including flow, mass, and spectral.

Who Should Attend:

This course is designed for researchers working with single-cell flow cytometry data. No prior experience with R/Bioconductor is required, but some programming familiarity is helpful.

What You Will Learn:

• Understand the flow cytometry pipeline and data output
• Preprocess and analyze flow cytometry data using R/Bioconductor
• Perform cell population identification via 2D gating and clustering
• Interpret and visualize analysis results effectively

Course Format:

• Live Sessions: 9 AM–1 PM (Berlin time) each day
• Interactive Learning: Lectures, Q&A, and practical exercises
• Slack Support: Available throughout the course

Registration:

We look forward to welcoming you to this course!

https://www.physalia-courses.org/courses-workshops/flow-cytometry/