Analysis and interpretation of single-cell RNA sequencing data with Bioconductor shows how to use Bioconductor packages for essential single-cell analysis steps including quality control, cell type annotation, multi-sample analysis, working with large data, and integration with public data. Pre-requisites include familiarity with R and Bioconductor. Familiarity with bulk RNA-seq data analysis is beneficial, but not strictly required.