FlowSOM for handling cytometry data

FlowSOM for handling cytometry data

Target Audience:

Clemenspoort, Ghent

08 June 2020

General context

The number of markers, cells and samples measured in cytometry experiments keeps increasing. While this offers unique opportunities, it also complicates the traditional manual gating process, which becomes time-consuming and subjective. Replacing the manual gating by an automated pipeline can solve these issues. In this workshop, we will explore how to handle cytometry data in R, with a focus on the FlowSOM clustering algorithm.



Participants will learn how to handle cytometry data in R, including quality control, visualization, clustering and comparison of samples. This will be demonstrated on an example dataset, but participants are welcome to bring some of their own fcs files to explore in addition.

Required skills

Prior experience with traditional manual cytometry analysis and R is recommended. If you have no experience with R you can attend the R introduction training


Sofie Van Gassen

Sofie is Postdoc at Ghent University working on optimization of the analysis of flow cytometry data by developing suitable machine learning algorithms. She's the creator of the FlowSOM algorithm. 


Schedule will be published later

Practical info

08 June 2020

Clemenspoort Gent

Overwale 3
9000 Ghent

08 June 2020

Clemenspoort Gent
Public transport

The train station Ghent St-Pieters is only 250 m away. We have 40 bike lots.

08 June 2020

Clemenspoort Gent

We offer parking lots (1.20 € per hour). GPS address: Sint-Denijslaan 251.
Please take the neem the exit SPORTHAL HoGent (not Campus HoGent) and drive all the way to the end, so past the parking slots of HoGent.

08 June 2020

Clemenspoort Gent
Location contact

+32 476 46 10 40



VIB training
Tel: +32 9 244 66 11
Mail: training@vib.be