2310506 BIOINFORMATICS I

Course Number 2310506
Course Credits3 (2-2-8)
Course AbbrviationBIOINFORMATICS I
Course Title (TH)ชีวสารสนเทศ 1
Course Title (EN)BIOINFORMATICS I
Responsible UnitFaculty of Science, Department of Biochemistry
Type of CourseInternational Course
SemesterIntl 2nd semester
Academic Year2024
Course Coordinator
Measurement Method
Type of CourseSemester Course
Course ConditionNone
Course Status
Instructors / staffs
Enrollment conditionsNone
Degree levelBachelor
Related curricularBachelor of Science in Biotechnology (2562)
Bachelor of Science in Biotechnology (2567)
Course description (TH)ชีวสารสนเทศปริทัศน์ การใช้ระบบอินเทอร์เน็ตและระบบปฏิบัติการสําหรับงานฐานข้อมูล ฐานข้อมูลในการศึกษาวิจัยทางชีวภาพ วิธีการเรียนกดูข้อมูลจากฐานข้อมูลและการส่งข้อมูลสู่ฐานข้อมูล การวิเคราะห์ลําดับซึ่งครอบคลุมการเปรียบเทียบลําดับเบสและกรดอะมิโน การสืบค้นฐานข้อมูล การวิเคราะห์เพื่อหาความสัมพันธ์ทางวิวัฒนาการ การวิเคราะห์เชิงทํานายโครงสร้างของยีนและโปรตีน การวิเคราะห์และการออกแบบโครงสร์างสามมิติของโปรตีนและกรดนิวคลีอิก การวิเคราะห์จีโนม และการแสดงออกของยีนในระดับจีโนม
Course description (EN)Introduction to bioinformatics, using the internet and operating systems for working with databases, databases for biological research, retrieval of information and submitting sequences to the databases, sequence analysis including nucleotide and amino acid sequence alignments, database searching, phylogenetic analysis, predictive methods for gene structures and protein sequences, analysis and design of protein tertiary structure and nucleic acids, analysis of genome and gene expression in genomic scale.
Curriculum mappingCU-1.1: Behavioral Objectives Possessing well-rounded knowledge
/CU-1.2: Possessing in-depth knowledge
CU-2.1: Being moral and ethical
CU-2.2: Having an awareness of etiquette
/CU-3.1: Being able to think critically
/CU-3.2: Being able to think creatively
/CU-3.3: Having skills in problem solving
/CU-4.1: Having professional skills
CU-4.2: Having communication skills
/CU-4.3: Having skills in information technology
CU-4.4: Having mathematical and statistical skills
CU-4.5: Having management skills
CU-5.1: Having an inquiring mind
CU-5.2: Knowing how to learn
/CU-5.3: Having leadership qualities
CU-5.4: Maintaining well-being
CU-5.5: Being community-minded and possessing social responsibility
CU-5.6: Sustaining Thainess in a globalized world
/subPLO1.1 Explain biotechnology knowledge in practice.
/subPLO1.2 Analyze biotechnology knowledge in practice.
subPLO1.3 Apply biotechnology knowledge in practice.
PLO2 Employ biotechnology-related technology and scientific tools.
PLO3 Communicate effectively in English within the Biotechnology field
PLO4 Demonstrate behavior that aligns with ethical principles, moral values, and professional ethics.
PLO5 Demonstrate social responsibility, courage, and creativity.
Course learning outcome (CLO)1.
2.
3.
4.
#DateTimeLearning contentInstructorCLORemark
1Introduction to Bioinformatics
2Database - Databank of biological information - Retrieval of information and submitting sequences to the databases - Submitting sequence to the databases
3Database - Databank of biological information - Retrieval of information and submitting sequences to the databases - Submitting sequence to the databases
4Sequence analysis I - Sequence alignment - Database searching
5Sequence analysis I - Phylogenic analysis
6Sequence analysis II - Protein sequence analysis
7Sequence analysis II - Molecular modeling - Prediction of protein tertiary structure by homology modeling - Computer simulation - Protein design
8Sequence analysis II - Molecular modeling - Prediction of protein tertiary structure by homology modeling - Computer simulation - Protein design
9Sequence analysis II - Molecular modeling - Prediction of protein tertiary structure by homology modeling - Computer simulation - Protein design
10Sequence analysis II - Molecular modeling - Prediction of protein tertiary structure by homology modeling - Computer simulation - Protein design
11Sequence analysis II - Molecular modeling - Prediction of protein tertiary structure by homology modeling - Computer simulation - Protein design
12Sequence analysis II - Molecular modeling - Prediction of protein tertiary structure by homology modeling - Computer simulation - Protein design
13Sequence analysis II - Molecular modeling - Prediction of protein tertiary structure by homology modeling - Computer simulation - Protein design
14Gene and genome analysis - Identification of gene structures/Genome sequencing and annotation
15Gene and genome analysis - Identification of gene structures/Genome sequencing and annotation
16Gene and genome analysis - Analysis of high throughput expression data
Teaching/learning mediawhiteboard, powerpoint media, electronic and website media
Communication channels / LMS
TypeChannel identifier / URLRemarks
Learning Management System (LMS)Microsoft Teams
E-mail
Assessment methodLevel of assessmentRelated CLOPercentage
Assignment35 %
Term Project20 %
Mid-term examination20 %
Final examination20 %
Class attendence5 %
GradingGrading SystemLetter Grad (A-F)
Grading method
Minimum Passing Level (MPL)
Reading list
TypeTitleRemarks
TextbookBaxevanis AD, Ouellette BFF. (2001) Bioinformatics: a practical guide to the analysis of genes and proteins, 2nd ed. John Wiley & Sons, Inc.: USANone
Course evaluationCourse evaluation systemmyCourseVille
Details of improvement from previous evaluationใช้ active learning ในช่วงการฝึกปฏิบัติโดยกำหนด in-class assignment ให้ชัดเจน / ให้นิสิตฝึกใช้เครื่องมือทางชีวสารสนเทศใหม่ ๆ
Course quality controlResponses to complaints / petitions from studentsDirectly to the instructor