PLEASE NOTE! This is a 5-day course. The first part (lectures and practicals) takes place 13-16 March. The second part (bring your own data session) takes place 27 March.

This workshop will introduce the best practice bioinformatics methods for analyzing single cell RNA-seq data via a series of lectures and computer practicals (using R or Python according to each student’s preference). The total course duration is 5 days, which includes 4 days of lectures and exercises followed by a "Bring Your Own Data" (BYOD) day where you get to practice your skills on a dataset of your choosing. Please note that the BYOD section will take place two weeks after the lectures.

Topics covered will include:
- Overview of the current scRNAseq technologies
- Basic overview of pipelines for processing raw reads into expression values
- Quality control and normalization
- Dimensionality reduction techniques
- Data integration and batch correction
- Differential gene expression
- Clustering techniques
- Cell type prediction
- Trajectory inference analysis
- Comparison of Seurat, Bioconductor and Scanpy toolkits

This online training event has no fee for academic participants. However, if you accept a position at the workshop and do not participate (no-show) you will be invoiced 3000 SEK. For non-academic participants, the course fee (and no-show fee) is 12000 SEK. Please note that NBIS cannot invoice individuals.