Bioinformatics and Statistical Genetics
Not available in 2012
Previously offered in 2011, 2010, 2009, 2006, 2005, 2004
Provides an introduction to the fields of bioinformatics and genetic epidemiology from a statistical point of view. Students will be taught how to apply appropriate statistical methods to the analysis of genetic data.
The course is offered in conjunction with the Biostatistics Collaboration of Australia (BCA)
On completion students will:
1. have a basic understanding of modern genetics;
2. understand the implications of bioinformatics for epidemiology, gene discovery and studies of gene function;
3. be able to apply appropriate statistical methods to the analysis of genetic data from studies of human subjects, both family and population-based.
The first component of the course is an introduction to various topics of elementary molecular biology, which is fundamental to the analysis of genetics data. 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 important probability/statistical models (Mendelian inheritance, Hardy-Weinberg equilibrium, crossing over, and map distance). Descriptions of the various types of genetic studies (linkage and family studies, linkage disequilibrium and population studies) will also be provided.
Mathematical Background for Biostatistics;
Principles of Statistical Inference;
Probability and Distribution Theory
Modes of Delivery
Distance Learning : Paper Based
Self Directed Learning
Self Directed Learning: for 6 hour(s) per Week for Full Term