FlowSOM for handling cytometry data

FlowSOM for handling cytometry data

Start date:

15 October 2019


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

Location & Venue
Bio-Accelerator Meeting Center Ghent

Technologiepark 21
9052 Zwijnaarde

Public transport
Bio-Accelerator Meeting Center Ghent
Public transport


At Gent St Pieters station you can take the following city buses: Buses 70, 71 and 72 ("Tramstraat"). You get off at the stop marked "Bollebergen" (on the Grote Steenweg Noord). The Technology Park is straight in front of you on the other side of the soft verge.

There is also a shuttle bus from Gent-Sint-Pieters, more information can be found here.


Route description
Bio-Accelerator Meeting Center Ghent

Route description

There is free parking available in front of the building.

Venue contact
Bio-Accelerator Meeting Center Ghent
Location contact

+32 9 328 19 02