- Code BIOL6243
- Unit Value 6 units
- Offered by Biology Teaching and Learning Centre
- ANU College ANU Joint Colleges of Science
- Course subject Biology
- Areas of interest Health, Medicine and the Body, Bioinformatics, Biology
- Academic career PGRD
- Prof Gavin Huttley
- Prof Justin Borevitz
- Mode of delivery In Person
- Co-taught Course
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 (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.
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
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
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WorkloadThree hours of lectures per week and eight practical classes/computer labs
Requisite and Incompatibility
Tuition fees are for the academic year indicated at the top of the page.
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- Student Contribution Band:
- Unit value:
- 6 units
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Offerings, Dates and Class Summary Links
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Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|7721||23 Jul 2018||30 Jul 2018||31 Aug 2018||26 Oct 2018||In Person||N/A|