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Applied Genomics Analysis is a graduate level course at East Carolina University

Course objectives:

Applied Genomics Analysis focuses on the understanding and application of statistical genomics and bioinformatics through the lens of contemporary technologies and software. In this course, we gained a basic understanding of:

  1. Genomics history and theory
  2. R coding for genomics
  3. Statistical genomics
  4. Exploratory machine learning
  5. Predictive modeling
  6. Working with genomics intervals
  7. Raw data QC/filtering/alignment
  8. RNS-seq analyses
  9. CHiP-seq analysis
  10. DNA methylation analysis
  11. Multi-omics analyses

Contributors:

  • Carol Gause
  • Megan Linke

Repo contents:

  • Final_Project: A markdown file containing information about the ABBA-BABA test we conducted for our final project.
  • PresentationSlides:
    • FinalProject_Popgenomics_2023.pdf: PDF file of presentation slides created by Carol Gause & Megan Linke.
    • Operations on Genomic Intervals.pdf: PDF file of presentation slides created by Carol Gause.
  • bin:
  • results: Output files from our final project.