| Computational Genomics - 22735 - BCHM 49500 - 002 |
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Associated Term: Fall 2019
Levels: Graduate, Professional, Undergraduate West Lafayette Campus Lecture Schedule Type Learning Outcomes: • 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: Technical Requirements: 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. View Catalog Entry
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