42001 Bioinformatics
6cp; 2hpw (workshop/laboratory)Requisite(s): ( 42721 Introduction to Biomedical Engineering OR ((120 credit points of completed study in Bachelor's Honours Embedded Degree owned by FEIT OR 120 credit points of completed study in Bachelor's Combined Honours Degree owned by FEIT OR 120 credit points of completed study in Bachelor's Combined Honours Degree co-owned by FEIT) AND (31005 Machine Learning OR 41160 Introduction to Biomedical Engineering)))
These requisites may not apply to students in certain courses. See access conditions.
Anti-requisite(s): 91816 Bioinformatics
Recommended studies:
The subject requires a basic knowledge of Cell Biology and basic skills in Computer Science:
91132 Molecular Biology and 91178 Applications of Molecular Biology are recommended for selected topics in biology;
32547 UNIX Systems Programming is recommended to cover the basics of working in a command line environment.
Recommended online alternatives include the LinkedIn Learning course Learning Linux Command Line (2h 57m) or the Software Carpentry course Unix Shell (1hr 25m) to prepare for the practical parts of this subject.
In addition, content from the following subjects will further benefit the learning of Bioinformatics (and vice versa):
- 91161 Cell Biology and Genetics
- 91822 Human Genetics and Precision Medicine
- 48023 Programming Fundamentals
- 41082 Introduction to Data Engineering
- 31250 Introduction to Data Analysis
- 33116 Design, Data, and Decisions
- 95728 Introduction to Health Statistics
Postgraduate
Description
Bioinformatics is the science of turning large quantities of biological measurements into meaningful and/or actionable information. This interdisciplinary field requires knowledge in biology, engineering and computer science including understanding of:
- biological contexts to initiate, plan and interpret the results of bioinformatics projects
- biotechnologies to develop and evaluate data processing and data mining strategies
- computer science to efficiently organise, store and manipulate data
- statistical methods to identify patterns and make predictions from the data, and
- visualisation techniques to interpret and communicate findings made from the data.
This subject offers an introduction to the acquisition, analysis and interpretation of experimental data with a major focus on state-of-the-art genome-wide biotechnologies. The overall aim is to provide students with the necessary background and practical techniques to initiate, conduct and further develop bioinformatics projects, and efficiently communicate project outcomes to domain experts such as biologists, engineers and medical professionals.
Typical availability
Spring Session, City campus
Detailed subject description.