Systems biology is the study of complex biological systems whose behaviour involves more than the sum of their isolated biological parts. Modern approaches to systems biology use a broad system-level analysis incorporating multiple levels of data integration and mechanistic modelling. This unit is designed for students to gain a deep understanding of data integration from large-scale Omics experimentation as well as mechanistic modelling with differential equations. The unit provides a comprehensive knowledge of large-scale Omics-based biological systems analysis, including advanced statistical methods for systems biology, Omics data visualisation, experimental methods in Omics research, data integration, and network-based analysis. In addition, the unit covers diverse aspects of mechanistic modelling of biochemical pathways with differential equations, including analysis of models of gene regulatory networks, signalling networks and metabolic regulation. In the practical program you will generate data analysis workflows and thereby gain a deep understanding of the statistical, informatics and modelling tools currently being used in the field. To leverage multiple types of expertise, the computer lab-based practical component of this unit will be a predominantly team-based collaborative learning environment.
2x1hr lectures, 1x3 hr lab
Quiz in Tutorial/Lab x 2 (10%+5%) = 15%, Workshop on Module 1 = 25%, Presentation = 15%, Final Exam = 45%
QBIO2001 and 6cp from (GEGE2X01 or GENE2002 or AVBS2005 or BCMB2X01 or BCHM2X72 or MEDS2003)