| Date | Lecture Title | Main Learning Objective | |
|---|---|---|---|
| 1. | 05/12/2025 | Course Overview & Environment Preparation | Introduce the course and install R, RStudio, and other required softwares. |
| 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!
YCU Students, Faculty & External Participants are Welcome!
Learn with our Teaching Team.
1. Practical Bioinformatics Course in R/RStudio
Tailored for Biology/Medical Students・Zoom/on-site/on-demand・FREE for YCU Students!
FY2025: May - July, 2025 | on-demand: until March 2026!
Zoom/Live Lectures on Monday @16:10-17:40JST
Registration:
Closed. Please check again in March 2026.
Enter Here!
2. Current Trends in Bioinformatics Course & Open Seminar
State-of-the-art AI/Bioinformatics Research・Invited Experts・FREE for everyone!
FY2025: October - December, 2025
Zoom lectures on Monday @16:10-17:40JST
| Date | Lecturer | Lecture Title (Language) | |
|---|---|---|---|
| 1. | 10/06/2025 | J RAMILOWSKI & S MAEZONO (YCU BI Lab) | The New Era of Digital Biology and Its Impact on Biological and Medical Research (ENG) |
| 2. | 10/20/2025 | Takahiro SUZUKI (RIKEN IMS) | Introduction & Advances in the NGS and OMICS Data Analysis (JP) |
| 3. | 10/27/2025 | Takeya KASUKAWA (RIKEN IMS) | Use of Public Resources for the Omics Studies (JP) |
| 4. | 11/10/2025 | Charles PLESSY (OIST) | Automation, Containerisation and Pipelinisation for Bioinformatics Data Analysis Workflows (ENG) |
| 5. | 11/17/2025 | Dave TANG & Kelly VILLA (KOTAI Biotech. Inc.) | Single cell and Spatial Transcriptomics (ENG) |
| 6. | 12/01/2025 | Shiori ARII (AI Medical Service Inc.) | An AI-aided Computer System in Endoscopic Image Analysis (JP) |
| 7. | 12/08/2025 | Jun SESE (Humanome Lab Inc.) | Redefining health through live-monitoring data: biometric measurements and data analysis with digital devices (JP) |
| 8. | 12/15/2025 | Sayuri SHIMIZU (YCU DHS) | Application of Machine Learning to Healthcare (JP) |
Registration:
Click here!
Enter Here!
3. Practical Bioinformatics: Special Single-Cell Course
Our more Advanced Programming Course・On-demand・FREE for YCU Students!
FY2025: Jan - Feb, 2026 | on-demand: until July, 2026!
On-demand Lectures released on Mondays (except the last lecture set on a Tuesday)
| Date | Lecture Title | Main Learning Objective | |
|---|---|---|---|
| 1. | 01/26/2026 | Special Bioinformatics Course Introduction and Software Preparation | Introduce the course and install R, RStudio, and other required softwares. |
| 2. | 02/02/2026 | Introduction to Cancer Genomics & scRNA-seq Data Preparation | Give an overview of Cancer Genomics & Single Cell Research and it will introduce single-cell RNA-seq Data Analysis in Seurat. |
| 3. | 02/09/2026 | scRNA-seq Data Clustering & Cell Type Identification | Apply of the first lecture but using an integrated Seurat Object of the samples used in a real-world example. |
| 4. | 02/16/2026 | Trajectory Analysis & Cell-Cell Communication in scRNA-seq Data | Perform Trajectory, Differential Expression, and Gene Set Variation Analyes between/among clusters. |
| 5. | 02/24/2026 | Result Validation at Tissue-level using TCGA Public Resource | Validate the results from scRNA-seq data analysis using TCGA gastric adenocarcinoma bulk dataset. |