This workshop introduces the best practice bioinformatics methods for analyzing single cell RNA-seq data via a series of lectures and computer practicals. The total course duration is 5 days which includes 4 days of lectures and exercises.
Key topics covered:
- 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