BMS5308 Integrative bioinformatics and multi-omic bioinformatics research
Faculty of Medicine, Nursing and Health Sciences
BMS5308 Integrative bioinformatics and multi-omic bioinformatics research is a level 5, 6-credit-point, postgraduate unit from the Faculty of Medicine, Nursing and Health Sciences, offered in 2027 in Semester 2 at Clayton. It has no prerequisites.
- Credit points
- 6
- Offered in 2027
- Semester 2
- Clayton
- Assessment
- No exam
- 2 tasks
- Workload
- 12 hours
- per semester
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Requisites
Before BMS5308
No prerequisites or corequisites besides the enrolment rules below.
After BMS5308
No unit lists BMS5308 as a prerequisite in the 2027 handbook.
Enrolment rules
Prerequisites: BMS5305 and BMS5302 and BMS5303 OR direct approval by the Unit Coordinator.
Must be enrolled in Master of Bioinformatics M6049.
Overview
In this unit you will develop advanced skills in the integrative analysis and interpretation of multi-omic datasets. Emphasis is placed on developing robust analytical workflows, integrating evidence across multiple omics platforms, and interpreting biological significance within the context of discovery and translational research. Through structured workshops and independent inquiry, you will also develop skills needed for experimental design that supports integrative analyses and the generation of biologically meaningful insights. Using real-world datasets spanning multiple layers of molecular data, you will synthesise findings across diverse data types, justify analytical decisions, and communicate evidence-based conclusions using contemporary bioinformatic approaches appropriate for a range of multidisciplinary bioinformatics contexts.
Offerings in 2027
| Teaching period | Campus | Mode |
|---|---|---|
| Second semester | Clayton | On campus |
Assessment
- Written reports (approximate word count 2,000)Written40%
- Integrated project (written reports up to 2,500 words and Q & A/defence, 1x10 mins, 1x15 mins)Project60%
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
Critically evaluate the strengths, limitations, and biological assumptions of multi-omic approaches for investigating complex biological systems.
- 2
Integrate multi-omics datasets to identify biologically meaningful relationships, conserved molecular responses, and physiologically relevant adaptations of a model system.
- 3
Design and justify reproducible bioinformatic workflows for the analysis and interpretation of multi-omics data, selecting appropriate analytical methods to address specific biological research questions.
- 4
Critically interpret and communicate complex multi-omics findings by constructing evidence-based biological conclusions and evaluating their implications for discovery and translational research.
- 5
Evaluate the reproducibility, methodological rigour, and scientific validity of key multi-omics studies, and justify alternative analytical strategies that improve the robustness and biological interpretation of bioinformatic investigations.
Workload and teaching
- Workshops48 hours
- Lectures24 hours
Teacher-directed learning will be an average of 6 hours per week, including an average of 2 hours per week online lecture content, and 4 hours of on-campus workshops. Student-directed learning will be 6 hours per week, bringing the total of 12 hours per week.
Contacts
- Chief Examiners
- Dr Andre Mu
- Unit Coordinators
- Dr Andre Mu
Common questions
What are the prerequisites for BMS5308?
BMS5308 has no prerequisites, but enrolment rules apply.
When is BMS5308 offered?
In 2027, BMS5308 runs in Semester 2 at Clayton.
How much work is BMS5308?
The handbook expects about 12 hours of study across the semester. No students have rated its difficulty yet.
Does BMS5308 have an exam?
No. BMS5308 has 2 assessment tasks and no exam.
More details
- Credit points
- 6
- Level
- 5
- Study level
- Postgraduate
- Faculty
- Faculty of Medicine, Nursing and Health Sciences
- Organisational unit
- School of Biomedical Sciences
- Type
- Coursework
- EFTSL
- 0.125
- Student contribution
- SCA Band 2
- Study abroad
- Not available
- Handbook years
- 2027