Computational Genomics

Subject COMP90016 (2011)

Note: This is an archived Handbook entry from 2011.

Credit Points: 12.50
Level: 9 (Graduate/Postgraduate)
Dates & Locations:

This subject is not offered in 2011.

Time Commitment: Contact Hours: 36 hours, made up of 24 one-hour lectures (two per week) and 12 one-hour workshops (one per week)
Total Time Commitment: 120 hours


Corequisites: None
Recommended Background Knowledge: One semester computer programming, or equivalent experience.
Non Allowed Subjects: 433-451 Computational Genomics
Core Participation Requirements:

For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Students Experiencing Academic Disadvantage Policy, academic requirements for this subject are articulated in the Subject Description, Subject Objectives, Generic Skills and Assessment Requirements of this entry.The University is dedicated to provide support to those with special requirements. Further details on the Disability support scheme can be found at the Disability Liaison Unit Website:


Dr Adrian Pearce


Subject Overview:

Topics covered include:

  • Computational issues in physical mapping of DNA, in genome annotation, and in analyzing gene expression data
  • Motif extraction; methods for determining phylogenetic trees
  • RNA structure determination
  • And protein structure determination

On completion of this subject students should be able to:

  • Describe current research issues in bioinformatics
  • Describe the most commonly used approaches to processing genomic data, their theoretical underpinnings, and their strengths and limitations
  • Outline a variety of algorithms used for processing genomic data
  • Select algorithms appropriate to a given application
  • Critically evaluate the results obtained using different bioinformatics techniques to process genomic data
  • Write a simple bioinformatics computer program and use bioinformatics programming libraries
  • Describe the role of information theory in analysis of biological data
Assessment: Four assignments spread over the semester, totaling 5,000 words or equivalent (30%), and one 2-hour end-of-semester written examination (70%). To pass the subject, students must obtain a mark of at least 35/70 on the exam and 15/30 for the assignments.
Prescribed Texts:


Breadth Options:

This subject is not available as a breadth subject.

Fees Information: Subject EFTSL, Level, Discipline & Census Date
Generic Skills:

On completion of ths subject the student should have the:

  • Ability to undertake problem identification, formulation, and solution
  • Ability to utilise a systems approach to complex problems and to design and operational performance
  • Ability to manage information and documentation
  • Capacity for creativity and innovation
  • Ability to communicate effectively, with the engineering team and with the community at large
Related Course(s): Bachelor of Computer Science (Honours)
Master of Biomedical Engineering
Master of Engineering in Distributed Computing
Master of Science (Computer Science)
Master of Software Systems Engineering
Postgraduate Certificate in Engineering
Related Majors/Minors/Specialisations: Master of Engineering (Biomedical)
Master of Engineering (Software)

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