Introduction to Analysis of RNA Sequence Data

Introduction to analysis of RNA-sequencing data including theory and applications. Topics discussed will include computer scientific approaches to sequencing alignment such as dynamic programming, and statistical techniques that are that are used in analysis of next-generation sequencing data: Poisson models, the Expectation-Maximization algorithm, bootstrapping, multivariate linear models. Time permitting, we will cover single cell RNA sequencing, analysis and topics that arise in the analysis of multiple or large numbers of samples.