| Academic Year |
2026Year |
School/Graduate School |
School of Science |
| Lecture Code |
HL250000 |
Subject Classification |
Specialized Education |
| Subject Name |
情報生物学 |
Subject Name
（Katakana） |
ジウホウセイブツガク |
Subject Name in
English |
Biological Informatics |
| Instructor |
TAKAHASHI HARUKO |
Instructor
(Katakana) |
タカハシ ハルコ |
| Campus |
Higashi-Hiroshima |
Semester/Term |
2nd-Year, Second Semester, 4Term |
| Days, Periods, and Classrooms |
(4T) Tues1-4：SCI B301 |
| Lesson Style |
Lecture |
Lesson Style
(More Details) |
Face-to-face, Online (simultaneous interactive) |
| Lecture |
| Credits |
2.0 |
Class Hours/Week |
4 |
Language of Instruction |
J
:
Japanese |
| Course Level |
4
:
Undergraduate Advanced
|
| Course Area（Area） |
26
:
Biological and Life Sciences |
| Course Area（Discipline） |
03
:
Basic Biology |
| Eligible Students |
学部３年生 |
| Keywords |
Biological Information, Bioinformatics, Machine Learning, Artificial Intelligence |
| 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) | Biology
（Knowledge and Understanding）
・To understand and acquire advanced knowledge on specialties in biology. |
|---|
Class Objectives
/Class Outline |
The goal of this course is to acquire fundamental and specialized knowledge in bioinformatics and biological information science, and to develop logical and analytical thinking skills.
This course provides an overview of how various biological phenomena can be understood from the perspective of information biology. Topics range from fundamental concepts to the latest research methodologies used in the field. |
| Class Schedule |
lesson1 Guidance
lesson2 What Is Biological Information?
lesson3 After Human Genome Project
lesson4 Modeling organisms from biomolecular information
lesson5 Protein pharmaceuticals and bioinformatics
lesson6 Bioinformatics for drug discovery
lesson7 T2T and lncRNA
lesson8 What Is Artificial Intelligence?
lesson9 Fundamentals of Data Analysis
lesson10 Interpreting Omics Data (1)
lesson11 Interpreting Omics Data (2)
lesson12 Understanding Disease Information (1)
lesson13 Understanding Disease Information (2)
lesson14 Reading Bioinformatics Research Papers (1)
lesson15 Reading Bioinformatics Research Papers (2) |
Text/Reference
Books,etc. |
Molecular Biology of the Cell |
PC or AV used in
Class,etc. |
Visual Materials, Microsoft Teams |
| (More Details) |
PowerPoint presentation |
| Learning techniques to be incorporated |
Post-class Report |
Suggestions on
Preparation and
Review |
It is recommended that students take this course together with courses in molecular biology, cell biology, genetics, and biochemistry. |
| Requirements |
|
| Grading Method |
Report |
| Practical Experience |
|
| Summary of Practical Experience and Class Contents based on it |
|
| Message |
Today, many research papers employ bioinformatics and computational approaches. This course aims to help students understand and utilize these methods, while also introducing recent advances in the field. |
| 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. |