• Offered by Biology Teaching and Learning Centre
  • ANU College ANU Joint Colleges of Science
  • Classification Advanced
  • Course subject Biology
  • Areas of interest Health, Medicine and the Body
  • Academic career PGRD
  • Course convener
    • Prof Gavin Huttley
    • Prof Justin Borevitz
  • Mode of delivery In Person
  • Co-taught Course
  • Offered in Second Semester 2017
    See Future Offerings

Bioinformatics is a rapidly growing scientific discipline at the interface of genomics and computer science that has two distinct but overlapping aspects: the development of computer infrastructure (e.g. algorithm, programs, databases) and their use to analyse a wide variety of biological data. Among these data, genes, transcripts and epigenetic variants play a central role. Their rapid and large-scale acquisition in today's genomics, transcriptomics, proteomics and other -omics projects poses the major challenge for modern biology. The large-scale and genome-wide analysis of these data is often referred to as 'functional genomics' and relies on advances in bioinformatics and high throughput technologies such as 3rd generation sequencing.
This course provides an introduction to the key methods and technologies of bioinformatics and functional genomics, the fastest growing fields of biology and perhaps science. As computer literacy is central, the course will include a short section on computer programming using the Python programming language. Topics covered will include sequence comparison techniques, genome databases searches, population and comparative genomics, sequencing techniques, genome evolution.

Note: Graduate students attend joint classes with undergraduates but are assessed separately.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

On satisfying the requirements of this course, students will have the knowledge and skills to:

1. Design and evaluate research methodology in advanced genetics and bioinformatics
2. Analyse and interpret data, and assemble and evaluate information in advanced genetics and bioinformatics
3. Construct and evaluate estimates of phylogenetic relationships
4. Create new ideas and methods in advanced genetics and bioinformatics

Indicative Assessment

Assessment will be based on:

• Postgraduate Assessment will be based on: Five assignments 50% (10% ea) distributed

• Written assignment in Advanced Genetics (LO1-4) 25% due on last day of class

• Research (practical) assignment in Bioinformatics (LO 1-4) 25% due on last day of class

The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.


Three hours of lectures per week and eight practical classes/computer labs

Requisite and Incompatibility

Incompatible with BIOL3157


Tuition fees are for the academic year indicated at the top of the page.  

If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Student Contribution Band:
Unit value:
6 units

If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees.  Where there is a unit range displayed for this course, not all unit options below may be available.

6.00 0.12500
Domestic fee paying students
Year Fee
2017 $3660
International fee paying students
Year Fee
2017 $4878
Note: Please note that fee information is for current year only.

Offerings, Dates and Class Summary Links

ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.

The list of offerings for future years is indicative only.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.

Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
7721 24 Jul 2017 31 Jul 2017 31 Aug 2017 27 Oct 2017 In Person N/A

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