K7368030 Molecular Bioinformatics

Hiroshima University Syllabus

Japanese

Academic Year 2024Year School/Graduate School School of Engineering

Lecture Code K7368030 Subject Classification Specialized Education

Subject Name 情報分子生物学

Subject Name
（Katakana）ジョウホウブンシセイブツガク

Subject Name in
English Molecular Bioinformatics

Instructor TAJIMA TAKAHISA

Instructor
(Katakana) 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 101

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
Program
(Applicable only to targeted subjects for undergraduate students)
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students) 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/Reference
Books,etc. 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
Class,etc. 　

(More Details) Text，handout，Movie （Video/PC/other image document）Power point presentation, Text

Learning techniques to be incorporated 　

Suggestions on
Preparation and
Review Preparation and brushup based on the text book

Requirements

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.

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.

Academic Year	2024Year	School/Graduate School	School of Engineering
Lecture Code	K7368030	Subject Classification	Specialized Education
Subject Name	情報分子生物学
Subject Name （Katakana）	ジョウホウブンシセイブツガク
Subject Name in English	Molecular Bioinformatics
Instructor	TAJIMA TAKAHISA
Instructor (Katakana)	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 101
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 Program (Applicable only to targeted subjects for undergraduate students)
Criterion referenced Evaluation (Applicable only to targeted subjects for undergraduate students)	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/Reference Books,etc.	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 Class,etc.
(More Details)	Text，handout，Movie （Video/PC/other image document）Power point presentation, Text
Learning techniques to be incorporated
Suggestions on Preparation and Review	Preparation and brushup based on the text book
Requirements
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.
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.

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