About This Course

Welcome to this course! This course is systematically designed to introduce students to utilizing bioinformatics and bioanalysis in the biomedical field. The course will discuss the bioanalysis and in silico study of the life mechanisms of an organism. The course aims to develop concepts of bioinformatics and bioanalysis following their research interests in the biomedical field. Areas of the course are bioinformatics and bioanalysis in biomedicine, analysis of networks and pathways, genomic databases and polymorphisms, primer design, and sequencing methods, epigenetic databases, RNA microanalysis, methylation and acetylation, protein properties, SDS PAGE and Western blot examinations, structure prediction of 2D and 3D proteins, interactions between two molecules, use of molecular docking software, ligand-receptor analysis, herbal databases and bioanalysis (using HPLC, Mass Spectrometry, GC/LC), application of bioinformatics for drug and vaccine discovery, bioengineering and Basic artificial intelligent .

Credit: 3 SKS

Matakuliah Prasyarat: Tidak Ada

Learning Outcomes

After attending this course, students are expected to generally possess the following abilities:

1. Able to explain the principles of bioinformatics, genomics, epigenetics, proteomics, molecular interactions, herbal/herbal databases and bioanalysis (using HPLC, Mass Spectrometry, GC/LC), and the application of bioinformatics for drugs, vaccine discovery ,bioengineering and Basic artificial intelligent
2. Able to analyze and interpret data related to networks and pathways, genomics, epigenetics, proteomics, molecular interactions, herbal/herbal databases, Basic artificial intelligent then convey information and opinions to others in class discussions. 3. Able to communicate ideas, issues, and conclusions regarding complex bioinformatics and Basic artificial intelligent data clearly and effectively

Topics of Discussion

1. Overview of Bioinformatics and Bioanalysis
2. Overview of Genome Databases and Sequencing
3. Epigenetic databases and analysis
4. Proteomic
5. Protein/ Molecular interaction
6. Herbal medicine databases and bioanalysis
7. Overview of Vaccine design and Drug discovery
8. Overview of bioengineering
9. Big Data analysis in Public Health
10. Basic artificial intelligent

References

1. An Introduction to Bioinformatics Algorithms by Neil C Jones and Pavel Pevzner. Publisher: The MIT Press.
2. Bioinformatics for Biomedical Science and Clinical Applications by Kung-Hao Liang. Publisher: Woodhead Publishing.
3. Principles and Practice of Bioanalysis by Richard F Venn. Publisher: Taylor & Francis Inc
4. Scientific Journals (Nature Bioinformatics, Nature Protocols, Bioanalysis, etc).