Genomic Data Analysis

4.0 credits

Introduction to techniques used in modern genomic experimentation and the corresponding statistical methods and software available to visualize, analyze, and interpret these data. Specific topics include mRNA/microRNA expression, single-cell sequencing, alternative splicing, phylogenetic analysis, protein-DNA binding, DNA methylation, and microbial abundance.