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Applied Computational Genomics Course at UU: Spring 2024

  • Faculty: Aaron Quinlan (aquinlan at genetics.utah.edu)
  • Teaching assistants:
    • Scott Pew
    • Reilly Falter
  • Meets Tu and Th from 10:30-11:50 January 9, 2024.
  • TA Hours (Zoom links pinned to #general in the course Slack :
    • Reilly Falter: Weds, 3-4 PM
    • Scott Pew: Mons, 10-11 AM

Overview

This course will provide a comprehensive introduction to fundamental concepts and experimental approaches in the analysis and interpretation of experimental genomics data. It will be structured as a series of lectures covering key concepts and analytical strategies. A diverse range of biological questions enabled by modern DNA sequencing technologies will be explored including sequence alignment, the identification of genetic variation, structural variation, and ChIP-seq and RNA-seq analysis. Students will learn and apply the fundamental data formats and analysis strategies that underlie computational genomics research. The primary goal of the course is for students to be grounded in theory and leave the course empowered to conduct independent genomic analyses.

Important notes

  1. Class participation is expected. Ask a question if you have one!

Grading policy

All assignments are due on the date stated in class. Ten percent of the grade will be deducted for each 24 hours that the assignment is late.

Course lecture slides

Out of Date, Ignore for now

Not covered in 2022's course, but available for reference.

  • Apr 13, 2020: Q-Q plots

  • April 22, 2020: Introduction to Linear Regression

  • April 27, 2020: Introduction to tidyverse

  • The Central Limit Theorem and Confidence Intervals

  • Structural and copy number variation

  • Patterns of Mutation in the Human Genome

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Applied Computational Genomics Course at UU: Spring 2020

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