Hiroshima University Syllabus

Back to syllabus main page
Academic Year 2024Year School/Graduate School Graduate School of Integrated Sciences for Life (Master's Course)
Lecture Code WI101500 Subject Classification Specialized Education
Subject Name バイオインフォマティクス
Subject Name
Subject Name in
ボウノウ ヒデマサ
Campus Across Campuses (videoconferencing, etc.) Semester/Term 1st-Year,  Second Semester,  3Term
Days, Periods, and Classrooms (3T) Mon11-12,Weds11-12:Online
Lesson Style Seminar Lesson Style
(More Details)
Lecture-based, Hands on-based 
Credits 2.0 Class Hours/Week   Language of Instruction B : Japanese/English
Course Level 6 : Graduate Advanced
Course Area(Area) 26 : Biological and Life Sciences
Course Area(Discipline) 04 : Life Sciences
Eligible Students Students in the Frontier Development Program for Genome Editing (Takuetsu-daigakuin)
Keywords SDG_04, SDG_09, Bioinformatics, biological data analysis, genome sequencing, next generation sequencer, gene expression analysis, functional genomics, data science, data literacy, informatics technology 
Special Subject for Teacher Education   Special Subject  
Class Status
within Educational
(Applicable only to targeted subjects for undergraduate students)
Criterion referenced
(Applicable only to targeted subjects for undergraduate students)
Class Objectives
/Class Outline
A teacher who is a specialist of bioinformatics and genome biology will give lectures on data literacy, the history of bioinformatics, public databases and data formats in life science, and how to handle big data in
biology including informatics technology used in this research field.
Various computer programs used in the data analysis will also be introduced. Students will understand how to extract biologically relevant information from large-scale analyses of nucleotide sequence data from the next generation sequencers. 
Class Schedule lesson1 Guidance: Bioinformatics for genome editing
lesson2 History of bioinformatics
lesson3 Publicly available databases in life science
lesson4 Computer literacy for handling big data in life science
lesson5 Data acquisition from public databases
lesson6 Data formats in life science
lesson7 Sequence similarity search
lesson8 Phylogenetic tree and protein domains
lesson9 Analysis of nucleotide sequence data from the next generation sequencers
lesson10 Assembly of genomes and transcriptomes
lesson11 Gene expression quantification analysis (RNA-Seq)
lesson12 Variant analysis
lesson13 Epigenome analysis
lesson14 Metagenome analysis
lesson15 Integrated data analysis

We will be doing 4 tests. 
No particular textbooks in English.
Texts are distributed as PDF files. 
PC or AV used in
(More Details)  
Learning techniques to be incorporated  
Suggestions on
Preparation and
Instructors will give instructions about the preparation and review as needed.  
Grading Method The final grade is formed as a weighed sum of small exams mark and reports.  
Practical Experience Experienced  
Summary of Practical Experience and Class Contents based on it Faculty members in charge have experience in many bioinformatics research projects 
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. 
Back to syllabus main page