EPM5012 Bioinformatics
Faculty of Medicine, Nursing and Health Sciences
EPM5012 Bioinformatics is a level 5, 6-credit-point, postgraduate unit from the Faculty of Medicine, Nursing and Health Sciences, offered in 2021 in Semester 2 at Alfred Hospital. It needs MPH5040, EPM5003, EPM5004, EPM5002 and EPM5014.
- Credit points
- 6
- Offered in 2021
- Semester 2
- Alfred Hospital
- Assessment
- No exam
- 2 tasks
This is the 2021 handbook entry. See the 2024 entry.
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Requisites
Before EPM5012
Prerequisites
Pass these before you enrol.
After EPM5012
No unit lists EPM5012 as a prerequisite in the 2021 handbook.
Enrolment rules
Overview
The unit begins with a brief review of elementary molecular biology: DNA, RNA, the central dogma, meiosis, mitosis and genes. Some fundamental mathematical tools for statistical analysis are also reviewed. The course then covers sequence alignment, database searching, Mendelian genetics and techniques for discovering connections between genes and disease: association, linkage and variance components studies.
Offerings in 2021
| Teaching period | Campus | Mode |
|---|---|---|
| Second semester | Alfred Hospital | De |
Assessment
- 4 x written assignments60%
- Comprehensive final assignmentThreshold hurdle40%
Learning outcomes
When you finish this unit, you should be able to:
- 1
Explain the core dogma of molecular biology and the central ideas of population genetics.
- 2
Given a problem which requires genome or proteome data for its solution, access appropriate web based sources for data, and download the data in suitable format.
- 3
Understand and apply core bioinformatics techniques for the analysis of DNA and protein sequence data, such as global sequence alignment, CLAST, Hidden Markov Models, evolutionary models and phylogenetic tree fitting.
- 4
Process large quantities of data (such as the expression profiles of thousands of genes resulting form microarray experiments) using R, and communicate results in language suitable for presentation to both a bioinformatics journal and a lay audience.
Workload and teaching
- Teaching approachOnline learning
For full details of the teaching approach to this unit, please refer to Moodle.
Learning resources
Required resources
See Moodle for details about required resources.
Contacts
- Chief Examiners
- Professor Andrew Forbes