BMS5307 Research advanced case studies in bioinformatics
Faculty of Medicine, Nursing and Health Sciences
BMS5307 Research advanced case studies in bioinformatics is a level 5, 12-credit-point, postgraduate unit from the Faculty of Medicine, Nursing and Health Sciences, offered in 2027 in Semester 2 at Clayton. It needs BMS5303 .
- Credit points
- 12
- Offered in 2027
- Semester 2
- Clayton
- Assessment
- No exam
- 3 tasks
- Workload
- 24 hours
- per semester
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Requisites
Before BMS5307
Prerequisites
Pass these before you enrol.
- BMS5303 Research case studies in bioinformatics
After BMS5307
No unit lists BMS5307 as a prerequisite in the 2027 handbook.
Enrolment rules
Must be enrolled in M6049 Master of Bioinformatics.
Overview
In this unit you will further your ability to apply critical scientific reasoning to the examination of bioinformatics datasets. You will analyse large and inherently complex data, evaluate methodological rigour and data interpretation. Emphasis will be placed on synthesising best practices and developing skills in critiquing shortcomings in published proteomics and AI-driven protein design studies, alongside appraising choices in experimental setup and analysis workflow. This unit is designed to equip you with practical data analysis and evaluation, skills which are highly valued in bioinformatics professional settings.
Offerings in 2027
| Teaching period | Campus | Mode |
|---|---|---|
| Second semester | Clayton | On campus |
Assessment
- Proteomics infographic (1,500 word count equivalent) and Q&A (5 mins)Artefact20%
- Case study portfolio (individual) (5000 word equivalent) of selected datasetsPortfolio50%
- Oral presentation (20 mins, including Q&A)Presentation30%
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 the role of proteomics alongside genomics and transcriptomics in the context of biological analysis.
- 2
Compare data-driven and physics-based approaches to protein modelling and design.
- 3
Interpret proteomics and AI-drive protein design data to generate and evaluate biological hypotheses.
- 4
Critically evaluate research design, reproducibility, and the strengths and limitations of proteomics approaches.
- 5
Design and justify testable hypotheses, and develop robust computational workflows for investigating proteome-related research questions.
- 6
Communicate research findings effectively to academic and professional stakeholders.
- 7
Critically reflect on skill development and professional practice relevant to contemporary bioinformatics contexts.
Workload and teaching
- Lectures48 hours
- Workshops72 hours
Average of 12 hours teacher-directed learning/week (on-campus workshops, online learning materials) plus 12 hours student-directed learning
Total per week = 24 hours
Contacts
- Chief Examiners
- Associate Professor Peter Boag
- Unit Coordinators
- Dr Nathan Croft
Common questions
What are the prerequisites for BMS5307?
You need BMS5303 before you enrol. Enrolment rules also apply.
When is BMS5307 offered?
In 2027, BMS5307 runs in Semester 2 at Clayton.
How much work is BMS5307?
The handbook expects about 24 hours of study across the semester. No students have rated its difficulty yet.
Does BMS5307 have an exam?
No. BMS5307 has 3 assessment tasks and no exam.
More details
- Credit points
- 12
- Level
- 5
- Study level
- Postgraduate
- Faculty
- Faculty of Medicine, Nursing and Health Sciences
- Organisational unit
- School of Biological Sciences
- Type
- Coursework
- EFTSL
- 0.250
- Student contribution
- SCA Band 2
- Study abroad
- Not available
- Handbook years
- 2027