| Academic Year |
2026Year |
School/Graduate School |
Graduate School of Biomedical and Health Sciences (Master’s Course) |
| Lecture Code |
TB002001 |
Subject Classification |
Specialized Education |
| Subject Name |
バイオインフォマティクス入門 |
Subject Name
（Katakana） |
バイオインフォマティクスニュウモン |
Subject Name in
English |
Introduction to Bioinformatics |
| Instructor |
HAYES CLAIR NELSON,NAKAHARA HIKARU |
Instructor
(Katakana) |
ヘイズ クレアーネルソン,ナカハラ ヒカル |
| Campus |
Kasumi |
Semester/Term |
1st-Year, First Semester, 1Term |
| Days, Periods, and Classrooms |
(1T) Tues11-12 |
| Lesson Style |
Lecture |
Lesson Style
(More Details) |
Face-to-face |
| Lecture-based, exercise-based, discussion-based |
| Credits |
1.0 |
Class Hours/Week |
2 |
Language of Instruction |
B
:
Japanese／English |
| Course Level |
7
:
Graduate Special Studies
|
| Course Area（Area） |
26
:
Biological and Life Sciences |
| Course Area（Discipline） |
04
:
Life Sciences |
| Eligible Students |
Students interested in data analysis |
| Keywords |
bioinformatics, data science, genomics, transcriptomics, Linux, R |
| Special Subject for Teacher Education |
|
Special Subject |
|
Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students) | |
|---|
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students) | |
|---|
Class Objectives
/Class Outline |
Modern biomedical and life science research increasingly relies on computational tools to analyze large-scale experimental data. This introductory course provides graduate students with foundational skills in bioinformatics, focusing on key methods and practical applications. Students will learn to perform sequence similarity searches using BLAST, conduct DNA sequence alignment for variant identification, and analyze RNA-seq data for differential gene expression. The course also introduces essential computational environments for bioinformatics, including the Linux command line and RStudio for statistical analysis and data visualization. Classes will meet for eight three-hour sessions. Each session will include a lecture taught in English and Japanese to introduce core concepts, followed by a hands-on workshop where students will apply what they have learned through guided exercises using real biological data. |
| Class Schedule |
1) 4/14 Review of concepts in DNA/RNA biology and introduction to genome browsers and life sciences databases
2) 4/21 Introduction to Linux
3) 4/28 DNA/RNA sequencing and alignment
4) 5/7 Alignment to a reference genome for variant calling
5) 5/12 RNA sequence alignment and quantification
6) 5/19 Introduction to R
7) 5/26 Differential gene expression analysis
8) 6/2 Gene set enrichment analysis
|
Text/Reference
Books,etc. |
Learning materials will be provided during the course. |
PC or AV used in
Class,etc. |
Text, Handouts, Audio Materials, Visual Materials |
| (More Details) |
|
| Learning techniques to be incorporated |
Discussions, Quizzes/ Quiz format, Project Learning |
Suggestions on
Preparation and
Review |
The course project is intended to help guide students in learning the specific skills needed for their current or planned research. |
| Requirements |
A PC capable of connecting to the Internet. |
| Grading Method |
Attendance, proactive learning attitude, assignments in class |
| Practical Experience |
|
| Summary of Practical Experience and Class Contents based on it |
|
| Message |
|
| Other |
|
Please fill in the class improvement questionnaire which is carried out on all classes.
Instructors will reflect on your feedback and utilize the information for improving their teaching. |