6 points, SCA Band 3, 0.125 EFTSL
Postgraduate - Unit
Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.
- Second semester 2018 (On-campus)
Master of Biotechnology students only
This unit will explore recent advances in genomics, transcriptomics, proteomics, metabolomics and systems biology. Students will learn about the latest sequencing technologies underlying these fields of research and obtain an understanding of computational methodologies used to explore these massive datasets.
Student will gain hands-on experience in extracting, mining and integrating publically available datasets related to a specific model organism relevant for regenerative medicine. This unit will also provide training in statistical methods for biologists biotechnology scientists.
Upon successful completion of this unit, students will be able to:
- Apply knowledge about cutting-edge, high-throughput sequencing technologies to a variety of clinical applications
- Use bioinformatics software for analysing high-throughput sequencing datasets and mining the outcome (including basics of coding to run software in command line mode)
- Gain knowledge about the functionality of genome browsers and databases to enable navigation through these resources from different model organisms
- Customise data analysis strategies for specific research questions in regenerative medicine
- Effectively communicate and present bioinformatics and systems biology concepts applied to regenerative medicine
- 2 x In-semester tests (20%)
- 2 x Laboratory assignments (1,500 words each) (40%) (hurdle)
- Practical laboratory work (40%) (hurdle)
5 contact hours (2 hours seminars and 3 hours practical/ workshop)
7 hours of private study (expected to be spent on assignments, and designated pre-class and post-class learning activities to prepare for classes and consolidate knowledge.
See also Unit timetable information