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.
