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Unit of study_
GEGE3004: Applied Genomics
2026 unit information
This unit aims to equip students with a robust understanding of contemporary applied genomics techniques, focusing on their application in real-world scenarios such as agriculture, conservation, and medicine. A key aspect of the unit is the development of proficiency in utilizing genomic tools within a Linux environment, enabling students to work efficiently with large-scale genomic datasets and advanced bioinformatics pipelines. By mastering these computational biology skills, students will not only gain an in-depth knowledge of genomic technologies but also become highly employable in an increasingly data-driven job market. The ability to analyse and interpret genomic data is essential for addressing some of the most pressing global challenges, from improving crop yields and conserving biodiversity to advancing medical treatments and personalized healthcare. As the demand for skilled professionals in computational biology continues to grow, students will be well-positioned for success in diverse sectors, including research, healthcare, environmental conservation, and biotechnology.
Unit details and rules
Managing faculty or University school:
Science
| Study level | Undergraduate |
|---|---|
| Academic unit | Life and Environmental Sciences Academic Operations |
| Credit points | 6 |
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Prerequisites:
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6 credit points from (GEGE2X01 or MBLG2X72 or GENE2XXX) and 6 credit points from (AVBS2005 or BCMB2X01 or BIOL2XXX or DATA2X02 or ENVX2001 or MEDS2003 or QBIO2XXX) |
|---|---|
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Corequisites:
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None |
| Prohibitions:
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ANSC3107 |
| Assumed knowledge:
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Genetics at 2000 level, Biology at 1000 level, algebra |
At the completion of this unit, you should be able to:
- LO1. Describe elements of genomic architecture and recognise the genomic mechanisms of inheritance and relationships among organisms
- LO2. Develop proficiency in applying genomic applications on Linux-based systems
- LO3. Apply bioinformatic approaches to assemble and align genomes from whole genome sequencing data
- LO4. Analyse whole genome data to investigate mutations
- LO5. Recognise the importance of contemporary applied genomics techniques to solving future challenges in conservation, agriculture, and medicine
- LO6. Design and communicate a project proposal to answer a research question in computational genomics
Unit availability
This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.
The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.
| Session | MoA ? | Location | Outline ? |
|---|---|---|---|
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Semester 2 2026
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Normal day | Camperdown/Darlington, Sydney |
Outline unavailable
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Modes of attendance (MoA)
This refers to the Mode of attendance (MoA) for the unit as it appears when you’re selecting your units in Sydney Student. Find more information about modes of attendance on our website.
Important enrolment information
Additional advice
This unit must be taken by all students in the Genetics and Genomics major.