Genomic Methods for Genetic Analysis

Graduate / Professional

Introduction to the analysis and interpretation of genomic datasets. The focus is on next-generation sequencing (NGS) applications including RNA-seq, ChIP-seq, exome and whole genome, and single-cell sequencing. By the end of this time-intensive, practical problem-set based course, each student will be able to process and analyze large-scale NGS datasets and interpret the results. This course is intended only for graduate students who are interested in applying genomic approaches in their thesis research. A basic familiarity with working in a UNIX/Linux computing environment or prior experience with a programming language is not required but can be useful. Extra resources will be made available prior to the course starting for students without any programming experience. Prerequisite: permission of the instructor. Interested students must contact the instructor to discuss their prior experience and expectations for the course. Enrollment limited to approximately twenty-five students. MW 4pm-5:15pm