Preface

This online resource is a compilation of exercises created for a graduate level course in Genomic Data Analysis at the University of Arkansas, taught by Dr. Jeffrey Lewis. The exercises included have been developed by graduate student Carson Stacy in collaboration with Dr. Jeffrey Lewis.

0.1 Usage

Each chapter corresponds to a class exercise, most of which are completed in R. There are .Rmd files available for each of the chapters available here, where you can complete the exercises yourself.

0.2 Key Features

  • Real Genomic Datasets: Explore exercises using genuine genomic datasets. This hands-on experience allows users to bridge theoretical knowledge with practical application, mirroring the challenges encountered in real-world genomics research.

  • Focus on Biological Context: Beyond coding, the exercises emphasize the biological questions addressed by genomic data analysis. Understanding the context behind the code is crucial for meaningful interpretation of results in genomics research.

  • Self-Paced Learning: Tailor your learning experience to your pace. The exercises are designed to accommodate a range of skill levels, allowing users to progress gradually and revisit concepts as needed.

Happy Learning! 🧬📊

bookdown::serve_book()

0.3 Disclaimer

The exercises included are a compilation of resources we have worked with through the years. Earnest attempts has been made to give credit where credit is due, but we can provide no guarantee to the origins of every piece of this document.