| Computational Genomics - 27603 - CS 49000 - 001 |
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Associated Term: Fall 2021
Levels: Graduate, Professional, Undergraduate West Lafayette Campus Lecture Schedule Type Learning Outcomes: This course introduces you to basics of modern genomics and computational tools that will be used for understanding diseases such as cancer. We will review the notion of gene, genome, transcriptome, and epigenome, and show how next generation sequencing technologies are utilized to measure these within cells. • Evaluate features of a genome (e.g. conservation, GC content, gene coding potential) • Understand how data from next-generation sequencing experiments (e.g. RNA-seq) are generated and processed • Analyze next-generation sequencing data (e.g. RNA-seq, ChIP-seq) from various experiments • Integrate various genomics data to answer specific biological question related to genomics and gene regulation Required Materials: Some knowledge or experience with programing and basic molecular biology is welcomed. Necessary concepts from biology, statistics, and computational algorithms will be provided during the course. Technical Requirements: View Catalog Entry
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