Provides an introduction to the field of bioinformatics from a statistical point of view. Students will be taught how to apply appropriate statistical methods to the analysis of Bioinformatic data. The course is offered in conjunction with the Biostatistics Collaboration of Australia (BCA)
|Faculty||Faculty of Health and Medicine|
|School||School of Medicine and Public Health|
Semester 2 - 2015
(Distance Education - Callaghan)
On successful completion of this course, students will be able to:
The first component of the course is an introduction to various topics of elementary molecular biology and population genetics. Conducting database searches (of DNA, RNA, amino acids and proteins databases) is one of the most common tasks in bioinformatics, so a grounding in these methods is provided.
Students will also be given a grounding in the analysis of single and multiple DNA or protein sequences, Hidden Markov Models and their applications, Evolutionary models, Phylogenetic trees and Analysis of microarrays.
|Replacing Course(s)||This course replaces the following course(s): BIOS6110. Students who have successfully completed BIOS6110 are not eligible to enrol in BIOS6111.|
|Assumed Knowledge||Data Management and Statistical Computing (BIOS6010); Mathematical Background for Biostatistics (BIOS6040); Principles of Statistical Inference (BIOS6050); Linear Models (BIOS6070); Probability and Distribution Theory (BIOS6170).|
|Timetable||2015 Course Timetables for BIOS6111|