Bioinformatics and Statistical Genetics
|Course code BIOS6110||Units 10||Level 6000||Faculty of Health and MedicineSchool of Medicine and Public Health|
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)
Not available in 2015
|Objectives||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.
|Content||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|
|Teaching Methods||Self Directed Learning|
|Contact Hours||Self Directed Learning: for 6 hour(s) per Week for Full Term|