Functional Genomics

Synopsis

This course applies computational methods to understand the function of genes and proteins. There is also an overview of methods to measure gene expression, and mapping of protein structures and functions. Topics include the methods for analysing gene expression, basic concepts and techniques of protein analysis, mutational analysis and their role in life.

Level: 3
Credit Units: 5
Presentation Pattern: EVERY JULY
E-Learning: BLENDED - Learning is done ENTIRELY online using interactive study materials in Canvas. Students receive guidance and support from online instructors via discussion forums and emails. There are no face-to-face sessions. If the course has an exam component, this will be administered on-campus.

Topics

Bioinformatics Approaches to Gene Expression
Experimental measurements of gene expression
Applications of Gene expression Case study 1 – Immuno-monitoring
Applications of Gene expression case study 2 – IgA Receptor splice variants
Protein Analysis and Proteomics
Protein Structure and Modelling
Applications of Protein Structure vs Sequence – Ni-binding Antibodies
Sequence Analysis
Multiple Sequence Analysis and Phylogenetic Tree
Introduction to Personalized Medicine
Mutations
Mutation Case study: Viruses

Learning Outcome

Examine gene expression methods and the use of computational approaches to gene expression measurement
Apply the principles of molecular biology to evaluate the computational methods in sequence analysis
Illustrate the basic concepts of protein analysis and proteonomics
Predict protein structure by applying computational tools
Analyze mutations by applying sequence and structural analysis
Discuss the limitation and impact of phylogenetics trees and mutations

Part-time Programmes / CET Courses

Singapore University of Social Sciences

Functional Genomics