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BCHM 42200 - Computational Genomics |
Credit Hours: 3.00. This course introduces students to modern genomics and computational tools that will be used for screening. Students will review the notion of gene, genomic, transcriptome, and epigenome, and show how next generation sequencing technologies are utilized to measure these with cell.
0.000 OR 3.000 Credit hours Syllabus Available Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Laboratory, Lecture All Sections for this Course Offered By: College of Agriculture Department: Biochemistry Course Attributes: Upper Division May be offered at any of the following campuses: West Lafayette Learning Outcomes: 1. Evaluate features of a genome (e.g. conservation, GC content, gene coding potential). 2. Understand how data from next-generation sequencing experiments (e.g. RNA-seq) are generated and processed. 3. Analyze next-generation sequencing data (e.g. RNA-seq, ChIP-seq) from various experiments. 4. Integrate various genomics data to answer specific biological question related to genomics and gene regulation. |