| 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 software. |
| 2. | 05/18/2026 | R Project Setup and Intro to R Packages | Create a reproducible analysis environment with RStudio Project and 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 | Learn to annotate and normalize expression data with Biomart. |
| 6. | 06/29/2026 | Differential Gene Expression Analysis | 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. |
Welcome to Yokohama City University FY2026 Practical Bioinformatics Course in R/RStudio!
Biology & Medical Education・Zoom/on-demand・FREE for YCU Students
横浜市立大学先端医科学研究センターのバイオインフォマティクス解析センターの2026 年度バイオインフォマティクス実践コースへようこそ！コースの詳細については、下記をご覧ください。このウェブサイトを日本語で閲覧するための \(\color{#4285F4}{\text{G}}\) \(\color{#EA4335}{\text{o}}\) \(\color{#FBBC05}{\text{o}}\) \(\color{#4285F4}{\text{g}}\) \(\color{#34A853}{\text{l}}\) \(\color{#EA4335}{\text{e}}\) 自動翻訳も使用することが可能になりました。
Join the Course!
This course is currently in progress, and registration is closed. Please check again in March 2027, and see our other Bioinformatics Courses.
05/11/2026 - 07/27/2026 | On-demand: until 03/31/2027!
Lecture Schedule
Zoom: Monday @16:10-17:40 JST
Course Aims・講義内容
- Learn
RandRStudiothrough hands-on practice on your own computer - Understand the basic theory and practical methods used in modern bioinformatics
- Explore, Analyze, and Visualize Next-Generation Sequencing (NGS) and other biological data
Meet the Teachers・講師紹介
Course designed and taught by: YCU Bioinformatics Lab Faculty.
See our lab website here.
YCU 大学院 単位登録・Graduate Course
YCU Graduate Students may earn 1 elective credit upon successfully completing this course. Before joining the course, please:
- Register for the Course through your Graduate School
- Complete General Application - check Join the Course!
Additional details are in the Course Syllabus and in the Student Area / 最終試験・単位希望 (available when the course begins).
Student Area
The Student Area provides access to all essential course software, lecture slides, homework assignments, and other resources.
Username and Password required to access the Student Area are provided to Registered Participants only.
Questions?
(Course General Application, Payment, Zoom access, etc)
(Course Registration & Credit)
(Lecture & Software Questions)