Day 1: July 8, 2024
Day 1 Course Materials
Morning: Intro to Sequencing and Overview of Pipelines
Afternoon: The Human Trisome Project
Day 2: July 9, 2024
Day 2 Course Materials
Morning: Intro to Linux and Vim
Afternoon: Omics and Data Science Concepts
Day 3: July 10, 2024
Day 3 Course Materials
Morning: Intro to Servers, Public Data & Quality Control
Afternoon: Reproducible Data Analysis Using R and R Studio
Day 4: July 11, 2024
Day 4 Course Materials
Morning: Trimming, Mapping & IGV (Genome Browser Visualization)
Afternoon: Linear Regression Analysis of Omics Data in R
Day 5: July 12, 2024
Day 5 Course Materials
Morning: Assessment
Afternoon: Analysis of Bulk RNAseq Data in R
Day 6: July 15, 2024
Day 6 Course Materials
Morning: RNAseq: R & R Read Counting
Afternoon: Visualization and Clustering Analysis with HTP Examples
Day 7: July 16, 2024
Day 7 Course Materials
Morning: Mini Project A l Single Cell RNAseq - Mapping and Filtering
Afternoon: Mini Project B l Multi-Omics: RNAseq/ChIPseq/ATACseq - Mapping and Counting
Supervised Machine Learning with HTP Examples
Day 8: July 17, 2024
Day 8 Course Materials
Morning: Mini Project A l Single Cell RNAseq - Dimensional Reduction and Clustering
Afternoon: Mini Project B l Mini Project B l Multi-Omics: RNAseq/ChIPseq/ATACseq - DESseq2 and Gene Lists
Analysis of Mass Cytometry Data in R
Day 9: July 18, 2024
Day 9 Course Materials
Morning: Mini Project A l Single Cell RNAseq - Cell Types, Gene Expression & Advanced Analysis
Afternoon: Mini Project B l Mini Project B l Multi-Omics: RNAseq/ChIPseq/ATACseq - ChIP/ATACseq and BEDTools
Analysis of INCLUDE Data Using R in CAVATICA
Day 10: July 19, 2024
Day 10 Course Materials
Morning: Downstream Analysis
Afternoon: Flexible