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Explore bioinformatics approaches to processing genomic scale datasets and distilling consequential biomedical information. Genomic sequencing technologies deliver such huge volumes of data that specific, dedicated handling methods are critical for analysis. This course focuses on methodologies appropriate for analysis tasks commonly employed with various sequencing experiments. Instruction covers general considerations ranging from experiment configuration, data QC, and software systems, to tuning of algorithms and visualization of results. In addition, assigned work with public datasets will provide students hands on experience with several widely used methodologies, including variant discovery (e.g. cancer treatment), metagenomics (e.g. gut flora), and “Seq” technologies (e.g. RNA-Seq). Class sessions consist of slides, assigned reading and a quiz. Mandatory data processing homework is a significant part of this class. Slides summarizing performed analyses (e.g. homework) are required for completion.

By the end of the course, you will be able to:

  • Compare the utility of different types of sequencing experiments
  • Structure bioinformatic pipelines to fit the experiment
  • Implement steps in bioinformatic processing
  • Critique genomic processing results

Course Number: BIOL-40327
Credit: 3.00 unit(s)
Related Certificate Programs: Applied Bioinformatics