Bioinformatics - BCA810
Bioinformatics is a multidisciplinary field that combines biology with quantitative methods to help understand biological processes, such as disease progression. This unit will provide students with an introduction to the field of Bioinformatics. Topics covered are: Biology basics; Statistical genetics; Web-based tools, data sources and data retrieval;The analysis of single and multiple DNA or protein sequences; Hidden Markov Models and their applications; Evolutionary models; Phylogenetic trees; Transcriptomics (gene expression microarrays and RNA-seq); Use of R in bioinformatics applications.
Because of the multi-institutional nature of the BCA units, there is an early cut-off for enrolment in this unit. These dates are:
Session 1: 20 February 2017
Session 2: 24 July 2017
| Credit Points: | 4 |
| When Offered: | S2 External - Session 2, External (On-campus dates: None) |
| Staff Contact(s): | Professor Gillian Heller |
| Prerequisites: |
((Admission to MBioStat or PGDipBioStat or PGCertBioStat or GradDipBioStat or GradCertBioStat) and BCA805 and BCA804 and BCA808) or ((admission to MAppStat or GradDipAppStat) and MATH604 and STAT810 and (BCA808 or STAT8111)) |
| Corequisites: | |
| NCCW(s): | STAT817 |
| Unit Designation(s): | |
| Assessed As: | Graded |
| Offered By: | Department of Statistics Faculty of Science and Engineering |
Course structures, including unit offerings, are subject to change.
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