University of Arizona 3 credits Biosystems Engineering
This 3-credit course is a graduate level course to cover popular statistical and computational methods for high-throughput omics data analysis. With the rapid advances of many omics technologies, the course will focus on the fundamental concepts of various topics (e.g. data preprocessing, association analysis, causal mediation analysis, differential analysis, statistical supervised and unsupervised learning, and pathway analysis) and their specific applications to different omics data types, including bulk RNA-seq, ChIP-seq, Epigenetics and DNA Methylation, SNP, single cell RNA sequencing, nanopore sequencing, metabolomics, and metagenomics.
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