FLOW CYTOMETRY DATA ANALYSIS WITH R/BIOCONDUCTOR

Dates: 2–4 February 2026 | Online

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

Join this hands-on course to master flow cytometry data analysis using R/Bioconductor. Learn preprocessing, cell population identification (manual gating and clustering), and visualization techniques applicable to flow, mass, and spectral cytometry.

Who should attend?

Ideal for researchers interested in single-cell cytometry data analysis. No prior flow cytometry or R experience required, but basic programming skills are beneficial.

What you will learn:

• Flow cytometry principles and data pipeline

• Data preprocessing and quality control

• Cell population analysis via 2D gating and clustering

• Interpretation and visualization of results

Course format:

3 half-day sessions (9 AM–1 PM Berlin time) combining lectures, practical exercises, and Q&A. Ongoing Slack support included.