Hiroshima University Syllabus

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Academic Year 2022Year School/Graduate School School of Engineering
Lecture Code K7368030 Subject Classification Specialized Education
Subject Name 情報分子生物学
Subject Name
Subject Name in
Molecular Bioinformatics
タジマ タカヒサ
Campus Higashi-Hiroshima Semester/Term 3rd-Year,  Second Semester,  3Term
Days, Periods, and Classrooms (3T) Weds3-4,Fri3-4:ENG 113
Lesson Style Lecture Lesson Style
(More Details)
Credits 2.0 Class Hours/Week   Language of Instruction B : Japanese/English
Course Level 4 : Undergraduate Advanced
Course Area(Area) 26 : Biological and Life Sciences
Course Area(Discipline) 02 : Biotechnology
Eligible Students Third grade
Keywords SDG_09, Bioinformatics, Genome information, Genomics, Proteomics, Metabolomics, System biology 
Special Subject for Teacher Education   Special Subject  
Class Status
within Educational
Criterion referenced
Program of Biotechnology
(Knowledge and Understanding)
・Acquisition of basic and advanced knowledge relating to biotechnology and life science. (Target/Lecture class) 
Class Objectives
/Class Outline
Recently, technique for handling of bioinformatic data is required because of the accumulation of extensive bioinformatic data such as genome sequence. This class give the explaination about the aquisition, analysis and using of bioinformatic data in addition to bioethics.
Evaluation items in "Knowledge and Understanding" and  "Ability and Skill" are as follows.
"Knowledge and Understanding" in Biotechnology program: (C-3) Using of DNA and amino acid sequence information, rapid analysis of biomolecules, regulation of microbial fermentation, skills of software utilization for metabolic analysis, basic technique and aplication in computer programing. 
Class Schedule lesson1 Bioinformatics
lesson2 Molecular biology 1
lesson3 Molecular biology 2
lesson4 Sequence analysis of DNA and protein 1 - Homologous sequence, motif, function prediction
lesson5 Sequence analysis of DNA and protein 2 - Computer practice (ClustalW, phylogenetic tree)
lesson6 Analysis of protein structure
lesson7 Genome sequence analysis 1 - Methodology, gene finding, functional prediction, classification
lesson8 Genome sequence analysis 2 - Computer practice(Genome analysis)
lesson9 Transcriptome
lesson10 Proteome
lesson11 Metabolic pathway analysis 1 - Metabolic database, metabolic pathway, metabolic pathway analysis, functional prediction
lesson12 Metabolic pathway analysis 2 - Computer practice (Metabolic pathway analysis)
lesson13 System biology 1 - System identification, prediction and analysis
lesson14 System biology 2 - System regulation - designing
lesson15 Review

Final examination, reports 
Text book: 「はじめてのバイオインフォマティクス」、藤博幸(編)、講談社サイエンティフィク
Reference book: 「バイオインフォマティクス」、美宅成樹・榊佳之(編)、東京化学同人 (For further understanding of methodology)、「よくわかるバイオインフォマティクス」、藤博幸(編)、講談社 
PC or AV used in
(More Details) Text,handout,Movie (Video/PC/other image document)Power point presentation, Text 
Learning techniques to be incorporated  
Suggestions on
Preparation and
Preparation and brushup based on the text book 
Grading Method Report (30%) and final examination (70%) are evaluated. 
Practical Experience Experienced  
Summary of Practical Experience and Class Contents based on it Teacher who have experience in genome analysis, gene prediction and function prediction of industrial microorganisms will give lectures and practical training on analysis of biological data.  
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. 
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