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| BCHM 42200 - Computational Genomics |
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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. Typically offered Fall.
3.000 Credit hours Syllabus Available Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Laboratory, Lecture 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. Prerequisites: Undergraduate level BIOL 23100 Minimum Grade of D- or Undergraduate level BCHM 30700 Minimum Grade of D- or Undergraduate level STAT 30100 Minimum Grade of D- or Undergraduate level STAT 50300 Minimum Grade of D- or Undergraduate level STAT 35000 Minimum Grade of D- or Undergraduate level STAT 51100 Minimum Grade of D- or Undergraduate level CS 18200 Minimum Grade of D- or Undergraduate level CS 24000 Minimum Grade of D- |
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