Genetic Statistics and Bioinformatics
This course introduces students to Genetic Statistics and Bioinformatics. The course is designed to equip students with an understanding of the biological and molecular theory relevant to understanding DNA variation, its inheritance, and relation with measurable traits in humans. A major emphasis is on manipulating and analysing genetic data and correctly interpreting results. The course will provide a foundation for further theoretical and practical studies in this major field.
|Faculty||Faculty of Health and Medicine|
|School||School of Medicine and Public Health|
Semester 1 - 2017
On successful completion of this course, students will be able to:
This course introduces students to the Genetic Statistics and Bioinformatics. Students will be exposed to basic concepts in molecular genetics that underpin this field. They will gain an understanding of the various response variable types that can be studied and major differences in their modes of inheritance. Students will learn to design a genetic association study, understand and manipulate data representing DNA sequence variation and study its association with disease states and quantitative traits. They will also gain an appreciation of important statistical challenges relating to multiple testing, and its impact on type I error rate and power in genome-wide association studies. There will be an emphasis on gaining practical experience with manipulating and analysing genetic data, and appropriate presentation of results.
per Week for
|Timetable||2017 Course Timetables for BIOS6111|