I will discuss recent statistical methods for identifying differentially expressed genes in static and time course bulk RNA-seq experiments. I will also provide an overview of the opportunities and challenges provided by single cell RNA-seq and will discuss a statistical method we have developed for characterizing gene expression dynamics and sample heterogeneity in single cell RNA-seq experiments. Learning objectives: 1. Participants will learn the basics of RNA-seq analysis with a focus on normalization and identification of differentially expressed genes.