(Registration is closed) 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 nivard@lumc.nl 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.
Registration
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! https://forms.lumc.nl/lumc2/SingleCell
Deadline for registration was 31 August. students that registered through BioSB will be informed soon after 31 August whether they are selected for the course. If you are, instructions will be received for final course registration and payment.
The course fee is 400 Euro excl. 21% VAT.
