Upon completion of the course, students:

• learn the most recent nucleotide sequencing laboratory technologies  and define, explain, and correctly use terms and concepts used to describe novel NGS technology
• get familiar with best-practice methods and pipelines for NGS data analysis in detail.
• understand data structures and algorithms for the NGS technologies and applications including variant detection, ChIP-seq, RNA-seq, de novo assembly, and targeted sequencing.
• apply computational frameworks and toolkits with raw data.

able to use SAMTools, BedTools, BWA, TopHat/Cufflinks, GATK, QIIME, R, and Galaxy (term project)