GEN3010 Bioinformatics for Genomic Analysis
Faculty of Science
GEN3010 Bioinformatics for Genomic Analysis is a level 3, 6-credit-point, undergraduate unit from the Faculty of Science, offered in 2027 in Semester 2 at Clayton. It has no prerequisites.
- Credit points
- 6
- Offered in 2027
- Semester 2
- Clayton
- Assessment
- Exam 50%
- and 3 other tasks
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Requisites
Overview
Bioinformatics is an interdisciplinary field that integrates biology, statistics, and computing to analyse and interpret complex biological information. In this unit, you will apply bioinformatics approaches to real-world genomic datasets to address questions across multiple levels of biological organisation.
You will develop hands-on skills in processing and analysing genome-scale sequence data, including sequence alignment and variant calling. You will explore how genetic variation can be used to assess population diversity and structure, and to infer relationships among species and populations.
The unit emphasises practical workflows and reproducible analysis, providing experience with commonly used bioinformatics tools and data types. You will build the skills needed to design and carry out genomic analyses, and to communicate your findings effectively. These skills can be applied to the study of evolution, ecology and organismal health and lead to diverse careers in research, conservation biology, biotechnology, agricultural technology and biomedicine.
Offerings in 2027
| Teaching period | Campus | Mode |
|---|---|---|
| Second semester | Clayton | Blended |
Assessment
- Computer lab consolidation activitiesDemonstration20%
- Group project combined presentationPresentation10%
- Project interviewProject20%
- Final assessment - Exam (2 hours and 10 minutes)Examination50%
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Learning outcomes
When you finish this unit, you should be able to:
- 1
Evaluate current techniques for the analysis of genomic data;
- 2
Explain how different data types can be used in bioinformatic analysis;
- 3
Implement analysis and data visualization protocols for genomic data;
- 4
Design and conduct an extended bioinformatics research project and analyse its results;
- 5
Demonstrate team work, scientific communication and peer to peer learning and feedback.
Workload and teaching
- Lectures24 hours
- Laboratories36 hours
- Teaching approachActive learning
- Teaching approachCase-based teaching
- Teaching approachProblem-based learning
- Two hours of lectures/online activities;
- One three-hour computer laboratory;
- Seven hours of independent study per week.
During computer laboratories, you will be involved in active learning, applying the unit content to scenarios.
You will be presented with case-studies that require bioinformatics techniques to be applied. These techniques will first be taught through lecture material and computer laboratories and then you will apply these techniques to the case you are provided for your independent applied case study assessment.
The active learning will involve problem-based learning, where you must apply your knowledge to new problems.
Contacts
- Chief Examiners
- Dr Matt McGee
- Unit Coordinators
- Dr Matt McGee
Common questions
What are the prerequisites for GEN3010?
GEN3010 has no prerequisites, but enrolment rules apply.
When is GEN3010 offered?
In 2027, GEN3010 runs in Semester 2 at Clayton.
Does GEN3010 have an exam?
Yes. The exam is worth 50% of the final mark, alongside 3 other tasks.