TRM5006 Clinical and translational bioinformatics
Faculty of Medicine, Nursing and Health Sciences
TRM5006 Clinical and translational bioinformatics is a level 5, 6-credit-point, postgraduate unit from the Faculty of Medicine, Nursing and Health Sciences, offered in 2027 in Semester 1 at Alfred Hospital. It has no prerequisites.
- Credit points
- 6
- Offered in 2027
- Semester 1
- Alfred Hospital
- Assessment
- No exam
- 2 tasks
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Requisites
Before TRM5006
Prohibitions
You can't enrol if you have passed any of these.
After TRM5006
No unit lists TRM5006 as a prerequisite in the 2027 handbook.
Equivalent units
The same content under another code. Only one of them counts.
Overview
This unit equips you with the knowledge and practical skills to apply bioinformatics in key areas such as genomics and transcriptomics, with a strong focus on translational research. You will build foundational coding skills and learn how to work on high-performance computing (HPC) platforms.
Core topics include bioinformatics, biostatistics, experimental design and the use of AI in bioinformatics research. Through these, you will develop the ability to identify, select, and critically evaluate appropriate bioinformatic tools for use across medical research disciplines.
The unit also explores how bioinformatics is applied in practice: from identifying disease biomarkers to support diagnosis and uncovering molecular mechanisms of disease. You will learn from specialist researchers and clinicians actively applying bioinformatics across different fields, with opportunities to review methodological and scientific literature in bioinformatics and disease with a focus on clinical and translational medicine. You will develop an in-depth knowledge of how bioinformatics can be applied to address cutting-edge research questions.
By the end of this unit, you’ll gain the skills and confidence to use coding tools and high-performance computing (HPC) environments, apply bioinformatic methods to real-world clinical datasets, evaluate research and methodologies in bioinformatics, and combine bioinformatics approaches to tackle questions in translational medicine.
Offerings in 2027
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Alfred Hospital | Blended |
Assessment
- Coding and critical analysis written assignments (3,000 words total)Written50%
- Evaluating generative artificial intelligence in bioinformatics (2,400 words) and final presentationWritten50%
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
Apply knowledge of bioinformatics data exploration and storage using public databases and training resources.
- 2
Apply basic programming skills to process genomic or transcriptomic data on a remote UNIX server.
- 3
Analyse and visualise research data using the R open-source programming language.
- 4
Analyse, interpret and appraise bioinformatics methods for storing and analysing complex genomic and transcriptomic data.
- 5
Exploit generative artificial intelligence tools to solve common bioinformatic challenges.
- 6
Evaluate the principles of ethics and privacy to all bioinformatics data analysis and reporting.
Workload and teaching
- Workshops14 hours
- Tutorials-
- Seminars-
12 hours study per week distributed as:
- Teacher-directed learning, delivered online lectures, workshops and discussions, and pre and post-learning modules (6 hours per week)
Self-directed learning including private study, reading published studies, reference material, and textbooks (6 hours per week)
Learning resources
Required resources
See Moodle for details about required resources.
Contacts
- Unit Coordinators
- Dr Sean Byars
- Chief Examiners
- Dr Sean Byars
Common questions
What are the prerequisites for TRM5006?
TRM5006 has no prerequisites.
When is TRM5006 offered?
In 2027, TRM5006 runs in Semester 1 at Alfred Hospital.
Does TRM5006 have an exam?
No. TRM5006 has 2 assessment tasks and no exam.