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The next generation of array and sequencing technologies provides the ability to investigate large quantities of genomics information with higher sensitivity, greater throughput, and lower costs. This also introduces new challenges in data management, novel algorithmic approaches, and general interpretation. This course builds on the topics in 410.671 Gene Expression Data Analysis and Visualization to address analysis of both genetic variation and genomics content, including splice variants, single nucleotide polymorphisms (SNPs) with family-based and case/control genome-wide association, copy number variation, somatic and germline single nucleotide variants, tumor clonality and ploidy estimates, and transcription factor binding sites. Data types will include array, RNA sequencing, and DNA sequencing (targeted and whole exome) with sequence assembly methods presented,?such as de novo and reference-based.?Prerequisites: 410.602 Molecular Biology, 410.633 Introduction to Bioinformatics, 410.671 Gene Expression Data Analysis and Visualization. SCI