| Date | Lecture Title | Main Learning Objective | |
|---|---|---|---|
| 1. | 05/11/2026 | Course Overview & R/RStudio Installation | Introduce the course and install R, RStudio, and other required softwares. |
| 2. | 05/18/2026 | R Project Setup and Introduction to R Packages | Create an R Project in RStudio for reproducible data analysis and learn about R packages. |
| 3. | 06/01/2026 | Basic Data Analysis Workflows in R | Understand and practice main steps required to analyze data in R. |
| 4. | 06/08/2026 | Biological Data Visualization | Plot biological data using the ggpubr and ggplot2 R packages. |
| 5. | 06/22/2026 | Gene Expression Data & Annotations | Perform basic expression data normalization and annotation using Biomart. |
| 6. | 06/29/2026 | Differential Gene Expression Analysis | Learn how to perform differential gene expression (DGE) analysis with DESeq2. |
| 7. | 07/13/2026 | Gene Pathway Enrichment Analysis | Conduct gene pathway enrichment analysis using the fgsea package. |
| 8. | 07/27/2026 | Basics of Single Cell RNA-seq Data Analysis | Practice the basic scRNA-seq workflow using Seurat v5. |
Zoom Lectures on Monday @16:10-17:40JST