Main course links:
Day 1: July 6, 2026
Day 1 Course Materials
Morning: Short Read Course - Unix/Vim
Afternoon: The Human Trisome Project
Day 2: July 7, 2026
Day 2 Course Materials
Morning: Using Command Line Programs and Reading Manuals
Afternoon: Omics and Data Science Concepts
Day 3: July 8, 2026
Day 3 Course Materials
Morning: Super Computers and Scripts
Afternoon: Reproducible Data Analysis Using R and R Studio
Day 4: July 9, 2026
Day 4 Course Materials
Morning: Mapping and Viz | Command Line Loops
Afternoon: Data Cleaning and Exploratory Data Analysis
Day 5: July 10, 2026
Day 5 Course Materials
Morning: Command Line Lopps vs. Nextflow Pipelines
Afternoon: Hypothesis Testing in R
Day 6: July 13, 2026
Day 6 Course Materials
Morning: R Studio for Plotting
Afternoon: Advanced Data Visualization and Analysis in R
Day 7: July 14, 2026
Day 7 Course Materials
Morning: Project Day 1
Afternoon: Advanced Data Visualization and Analysis in R
Day 8: July 15, 2026
Day 8 Course Materials
Morning: Project Day 2
Afternoon: Supervised Machine Learning with HTP Examples
Day 9: July 16, 2026
Day 9 Course Materials
Morning: Project Day 3
Afternoon: Analysis of INCLUDE Data with R Using CAVATICA
Day 10: July 17, 2026
Day 10 Course Materials
Morning: Github and Anything Else You Want to Know
Afternoon: Responsible Conduct of Research (Rigor and Reproducibility) and AI Discussion