• Offered by Biology Teaching and Learning Centre
  • ANU College ANU Joint Colleges of Science
  • Course subject Biology
  • Academic career Undergraduate
  • Course convener
    • Prof Gavin Huttley
    • Prof Justin Borevitz
  • Mode of delivery In Person
  • Co-taught Course BIOL6243
  • Offered in Second Semester 2018
    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 (eg. 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 of 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.

Learning Outcomes

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

  • Describe and apply a  variety of methods in bioinformatics and functional genomics, including computer programming. (LO1) 
  • Describe and evaluate current research procedures across a range of topics in bioinformatics. (LO2)  
  • Evaluate and interpret  current literature in areas of bioinformatic practice. (LO3) 
  • Evaluate research methodology in the context of bioinformatic analysis of DNA sequence data. (LO4) 
  • Demonstrate the ability to obtain quantitative results from mathematical and statistical models through analytical and computational methods. (LO5)

Indicative Assessment

Assessment will be based on:  Five assignments 100% (20% ea) distributed throughout the semester including computer programming exercise - LO1,2,3,4,5.

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.

Workload

Three lectures per week and up to eight practical classes/computer labs.

Requisite and Incompatibility

To enrol in this course you must have successfully completed BIOL2151 or BIOL3161. You are not able to enrol in this course if you have completed BIOL3152 and BIOL3156 and BIOL6243.

Fees

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:
Band 2
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.

Units EFTSL
6.00 0.12500
Note: Please note that fee information is for current year only.

Offerings and Dates

The list of offerings for future years is indicative only

Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery
7720 23 Jul 2018 30 Jul 2018 31 Aug 2018 26 Oct 2018 In Person

Responsible Officer: Registrar, Student Administration / Page Contact: Website Administrator / Frequently Asked Questions