Singapore University of Social Sciences

Functional Genomics

Functional Genomics (BME356)

Applications Open: 01 May 2024

Applications Close: 15 June 2024

Next Available Intake: July 2024

Course Types: Modular Undergraduate Course, SkillsFuture Series

Language: English

Duration: 6 months

Fees: $1391.78 View More Details on Fees

Area of Interest: Science and Technology

Schemes: Alumni Continuing Education (ACE)

Funding: SkillsFuture

School/Department: School of Science and Technology


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.


  • 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
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