BIOINFORMATICS

Course Description

This course will introduce students to bioinformatics concepts, principles, and techniques. They will learn how to access the data archives of genomes and proteins, the tools that have been developed to work with these archives, and the kinds of questions that these data and tools can answer will be covered. During this course human genome project, role of bioinformatics in medicine, spatial and temporal aspects of life, central and peripheral dogma, data archives, the world wide web, electronic publications, computer and computer science, programming, biological classification and nomenclature, tools to evaluate phylogenetic relationships, protein structure, protein structure prediction and determination, clinical implications and 3D protein structure visualisation tools will be covered.

BIOINFORMATICS

Evaluation Tools (Active Term)

Course outcomes

1. 01 Identify the biological classification and nomenclature.
2. 02 Describe protein structure .
3. 03 Explain the observables and data archives
4. 04 Explain database requirements
5. 05 List the clinical implications.
6. 06 Explain how cells read the genome from DNA to protein.
7. 07 Summarize World Wide Web
8. 08 Summarize use of sequences to determine phylogenetic relationships .
9. 09 Elaborate on computers and computer science
10. 10 Elaborate on importance of bioinformatics.

Course Syllabus

Reference Books & Course Materials

1. 01 Arthur Lesk. Introduction to Bioinformatics. Oxford University Publications, 2014.

Learning Outcomes

1. L01 Discuss the basics of computer algorithms, R grammar, graphic SOLO 0
2. L01 Define and describe bioinformatics. SOLO 2.5
3. L02 Examine statistical methods including ANOVa, regression, multivariate and L Bayesian methods as implemented in R SOLO 0
4. L02 List the databases and tools used in bioinformatics. SOLO 3
5. L03 Interpret genomic, population genetic, transcriptomic and ecological data analysis tools using custom functios and/or specialized packages in R/Bioconducter SOLO 0
6. L03 Solve and interpret practically how to apply the knowledge to the field of study. SOLO 3.33
7. L04 Apply the knowledge and inquire how to solve problems in the field. SOLO 3.66

Program Outcomes

1. P01 PO1: To identify and use theoretical and applied knowledge as well as up-to-date/cutting edge laboratory techniques and analyses methods in the field of molecular biology and genetics.
2. P02 PO2: To identify problems related to molecular biology and genetics.
3. P03 PO3: To design and conduct experiments through hypothesis driven scientific research; and to analyze and interpret data to find solutions to molecular biology and genetics related problems.
4. P04 PO4: To work independently and as part of research group in a multidisciplinary team setting
5. P05 PO5: To apply the principles of scientific research ethics and academic integrity
6. P06 PO6: To interpret, explain and present primary scientific literature and novel findings in oral, written and visual presentation formats
7. P07 PO7: To evaluate experimental data and theoretical findings by using critical and analytical thinking techniques.
8. P08 PO8: To use the currently acceptable process of preparing research proposals and manuscripts for publishing in scientific journals.
9. P09 PO9: To apply the principles of molecular biology and genetics in generating/finding solutions to social problems / issues.
10. P10 PO10: To identify and implement environmental and laboratory safety procedures.
11. P11 PO11: To identify and apply the necessary professional skill set in projects and jobs involving independent and competitive careers in academia, industrial, medical or clinical research, science education, scientific writing and communication, health care, health care policy and civil service.

Po-Lo Matrix