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. 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 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, and spatial transcriptomics. The fifth day of the course will be a mini-symposium featuring guest lectures from scientists using various single-cell techniques in their research.
10 – 14 October, 2022
This course will take place in-person only
Rotterdam Science Tower
Marconistraat 16, 3029 AK Rotterdam
Basic knowledge of the programming language R is a prerequisite for participation in the course.
For this course, we make use of RStudio Cloud. All you need for this is a browser. You will receive more instructions at the beginning of the course.
- Susan Kloet (LUMC)
- Miao Chien (Erasmus MC)
- Roberta Menafra (LUMC)
- Ahmed Mahfouz (LUMC/TU Delft)
- Tamim Abdelaal (LUMC/TU Delft)
- Alexander Vieth (LUMC/TU Delft)
- Mohammed Charrout (TU Delft/ LUMC)
- Marcel Reinders (TU Delft)
- Laura Heezen (LUMC)
- Gerard Bouland (TU Delft/LUMC)
- Qirong Mao (LUMC)
- Mohammed Charrout (TU Delft/ LUMC)
- Gregory van Beek (Erasmus MC)
- Remco Hoogenboezem (Erasmus MC)
Ahmed Mahfouz A.Mahfouz@lumc.nl