In this lecture you will learn:
- How does scRNA-seq work and what can go wrong (empties, doublets, dropouts…)
- What is a UMI and why do we use them
- Why is scRNA-seq data challenging to analyze
- What are the main analysis steps for clustering cells and finding cluster marker genes
- What is Seurat