Computational Genomics

This subject has the following teaching availabilities in 2012:

120 hours

None

None

One semester computer programming, or equivalent experience.

433-451 Computational Genomics

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: http://www.services.unimelb.edu.au/disability/

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

• 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.

None

This subject is not available as a breadth subject.

On completion of this subject, students should have the:

• Ability to undertake problem identificaiton, formulation and solution
• Ability to utilise a systems approach to complex problems and to design an operational performance
• Ability tomanage information and docmentation
• Capacity for creativity and innovation
• Ability to communicate effectively with the engineering team and with the community at large