19-23 October, 2020 in an online version
The course will be organised by the MGC – Susan Kloet, Miao-Ping Chien, and Ahmed Mahfouz
This week-long course will cover the practicalities of single-cell sample prep and analysis with a particular focus on single-cell RNA-seq libraries. The 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. The fifth day of the course will be a mini-symposium featuring guest lectures from scientists using various single-cell techniques in their research.
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.
All potential participants are asked to write a motivation letter that will be use to make a selection out of the registered people. The course is free of charge for all personnel of MGC associated institutes. All other participants will pay a fee of 165 Euro (excl. 21% VAT).
All other participants: please register via this registration form.
Please, include your motivation.
Deadline for registration 15 August. People will be informed by 1 September if they are or aren’t selected to participate in the course.
After selection you will receive a link to the form where you can finalize your registration including the (online) payment.