Single-Cell Analysis – 2024

This 4-day course will cover the practicalities of single-cell sample prep and analysis with a particular focus on single-cell RNA-seq libraries. 

Course coordinator(s)

  • Dr. Susan Kloet (LUMC)
  • Dr. Miao-Ping Chien (Erasmus MC)
  • Dr. Ahmed Mahfouz (LUMC)

Course credits

The study load of this course is 2 ECTS credits. You can send an email to to receive a certificate after successfully completing this course.

Course description

This course features a mix of lectures and practicals, and you will have the opportunity to perform hands-on analysis of scRNA-seq data in R. Topics to be covered in the course include (but not limited to): an overview of different single cell platforms, experimental design, preprocessing of scRNA-seq data, normalization, dimensionality reduction, clustering, batch correction, differential expression, trajectory inference.

For more information you can contact Dr. Ahmed Mahfouz

Target audience

This course is aimed at both wet-lab researchers interested in learning how to analyze their own single-cell data sets, as well as bioinformaticians who are new to single-cell sequencing analysis. Basic knowledge of the programming language R is a prerequisite for participation in the course.


The course is free of charge for all personnel of MGC associated institutes. If you are personnel of a MGC associated institute, please register before September 1st via the MGC website! 

Registration is initially provisional. Deadline for registration is 31 August and you will be informed soon soon after whether or not you are selected for the course. We will inform you a.s.a.p. if you have been selected. If you are, you will receive instructions for final course registration and payment.

The course fee is 400 Euro excl. 21% VAT.

Preliminary registration for people not employed by MGC institutes: use this registration form