Bioinformatics Case Studies

Subject BINF90004 (2016)

Note: This is an archived Handbook entry from 2016.

Credit Points: 12.5
Level: 9 (Graduate/Postgraduate)
Dates & Locations:

This subject has the following teaching availabilities in 2016:

Semester 2, Parkville - Taught on campus.
Pre-teaching Period Start not applicable
Teaching Period 25-Jul-2016 to 23-Oct-2016
Assessment Period End 18-Nov-2016
Last date to Self-Enrol 05-Aug-2016
Census Date 31-Aug-2016
Last date to Withdraw without fail 23-Sep-2016

Timetable can be viewed here. For information about these dates, click here.
Time Commitment: Contact Hours: 36 hours. Two one-hour lectures and a one-hour practical in a computer lab per week
Total Time Commitment:

120 hours


Completion of first year of the M.Sc.(Bioinformatics) Research Training stream.


This subject is only available to students enrolled in the bioinformatics stream of the MSc.

Recommended Background Knowledge: None
Non Allowed Subjects: None
Core Participation Requirements:

For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Student Support and Engagement Policy, academic requirements for this subject are articulated in the Subject Overview, Learning Outcomes, Assessment and Generic Skills sections of this entry.

It is University policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact on meeting the requirements of this subject are encouraged to discuss this matter with a Faculty Student Adviser and Student Equity and Disability Support:


Dr Neil Young, Prof Robin Gasser


Robin Gasser:

Neil Young:

Subject Overview:

Bioinformatics is a diverse discipline that draws on a range of technical areas and is applied to a range of biological problems. In this subject a series of case studies is used to illustrate the application of bioinformatics to biological,agricultural, and medical problems. These case studies will be directly based on current practical research and taught by the researchers.

Learning Outcomes:

An understanding of and experience in applying bioinformatics tools to real problems in biology and medicine.

  • A 1000 word report on an experimental investigation in bioinformatics to be submitted mid to late semester, worth 40%
  • A ten-minute seminar given during the semester worth 10%
  • A three-hour exam to be held during the end-of-semester exam period worth 50%

Prescribed Texts:


Recommended Texts:


Breadth Options:

This subject is not available as a breadth subject.

Fees Information: Subject EFTSL, Level, Discipline & Census Date
Generic Skills:
  • Analysing a problem to understand what data and analysis is needed to solve the problem
  • Analytical skills – the ability to construct and express a logical argument and to work in abstract or general terms
  • Communication skills in presenting results and arguments to peers
Related Course(s): Master of Science (Bioinformatics)

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