Plotting the RNAseq data en masse or for individual genes or features is an important step in QC and understanding. In this recipe, we'll see how to make gene count plots in samples of interest, how to create an MA plot that plots counts against fold change and allows us to spot expression-related sample bias, and how to create a volcano plot that plots significance against fold change and allows us to spot the most meaningful changes easily.