Quality control is the basic step in any single-cell sequencing data analysis. This comes in two parts. First, performing quality control on cells by removing outliers, any doublet or dead cells that we don’t want to include in the analysis. The second is doing quality control on genes which means focusing on certain sets of genes which we expect to be more interesting and important for downstream analysis. For example excluding housekeeping genes that have a high expression in almost all cells, and choosing highly dispersed genes.
Author: Elham Adabi (ESR10)
