UnitLevel 5Postgraduate

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 2025 in Semester 1 at Alfred Hospital. It has no prerequisites.

Credit points
6
Offered in 2025
Semester 1
Alfred Hospital
Assessment
No exam
2 tasks

This is the 2025 handbook entry. See the 2027 entry.

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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 2025 handbook.

Equivalent units

The same content under another code. Only one of them counts.

Overview

In this unit, you will develop and illustrate an in-depth understanding of bioinformatics, and its use in conjunction with genomics, for application in translational research. This will include the basics of coding and how to work in a high-performance compute facility.

Discipline-specific topics will include bioinformatics, statistics and experimental design. Developing a fundamental understanding of bioinformatics will provide you with a contextual basis to identify and evaluate the appropriate bioinformatic tools to apply across different medical disciplines. You will learn how bioinformatics can be used to: identify biomarkers associated with disease, diagnose disease, or gain insights into the molecular underpinnings of disease.

You will learn from specialist researchers and clinicians actively working in the bioinformatics discipline. You will review and evaluate 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.

Offerings in 2025

Teaching periodCampusMode
First semesterAlfred HospitalFlexible

Assessment

  • Critical analysis (3,000 words)Written
    50%
  • Evaluating generative artificial intelligence in bioinformatics (3,000 words)Written
    50%

Learning outcomes

When you finish this unit, you should be able to:

  1. 1

    Apply knowledge of bioinformatics data exploration and storage using public databases and training resources.

  2. 2

    Apply basic programming skills to process genomic data on a remote UNIX server.

  3. 3

    Analyse and visualise research data using the R open-source programming language.

  4. 4

    Analyse, interpret and appraise bioinformatics methods for storing and analysing complex genomic data.

  5. 5

    Exploit generative artificial intelligence tools to solve common bioinformatic challenges.

  6. 6

    Evaluate the principles of ethics and privacy to all bioinformatics data analysis and reporting.

Workload and teaching

  • Tutorials-

12 hours study per week distributed as: • Teacher-directed learning delivered online lectures, discussion groups, 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

Chief Examiners
Dr Sean Byars
Unit Coordinators
Dr Sean Byars

Common questions

What are the prerequisites for TRM5006?

TRM5006 has no prerequisites.

When is TRM5006 offered?

In 2025, TRM5006 runs in Semester 1 at Alfred Hospital.

Does TRM5006 have an exam?

No. TRM5006 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 Translational Medicine
Type
Coursework
EFTSL
0.125
Student contribution
SCA Band 3
Study abroad
Available
Handbook years
2021202220232024202520262027