| Date | Lecture Title | Main Learning Objective | |
|---|---|---|---|
| 1. | 05/12/2025 | Course Overviev & Environment Preparation | Introduce the course and install R, RStudio, and other required software. |
| 2. | 05/19/2025 | R Project Setup and Introduction to R Packages | Create an R Project in RStudio for reproducible data analysis and learn about R packages. |
| 3. | 06/02/2025 | Basic Data Analysis Workflows in R | Understand and practice main steps required to analyze data in R. |
| 4. | 06/09/2025 | Biological Data Visualization | Plot biological data using the ggpubr and ggplot2 R packages. |
| 5. | 06/23/2025 | Gene Expression Data & Annotations | Perform basic expression data normalization and annotation using Biomart. |
| 6. | 06/30/2025 | Differential Gene Expression Analysis | Learn how to perform differential gene expression (DGE) analysis with DESeq2. |
| 7. | 07/07/2025 | Gene Pathway Enrichment Analysis | Conduct gene pathway enrichment analysis using the fgsea package. |
| 8. | 07/14/2025 | Basics of Single Cell RNA-seq Data Analysis | Practice the basic scRNA-seq workflow using Seurat v5. |
Bioinformatics Courses for Everyone!
Practical Bioinformatics Course in R/RStudio
- Topic: biological and NGS data analysis
- Platform: on-site/zoom & on-demand (May 2025 - March 2026)
- Elective Course / 大学院選択科目
- Free for YCU Students