Systems biology

Systems biology offers the possibility of understanding how living organisms function at different levels of their organization. This course will focus primarily on the subcellular level. At this level, systems biology models integrate several levels of interaction from the transcriptome, proteome, and metabolome. Predictions from in silico models can be used in biomedical research to understand multifactorial diseases and optimize drug treatments, in bioengineering to synthesize genomes with optimized properties and functions (synthetic biology), and to guide fundamental research on the principles of how living organisms function. The course includes a theoretical component (lectures and tutorials on gene, signaling, and metabolic network modeling) and a practical component (computer labs using Matlab software).

- understand mathematical models of gene, signaling, and metabolic networks.

- Be able to use the basic principles of systems biology (regulatory networks and circuits, stability and robustness, dynamic systems and their attractors, emergent properties) in reasoning about biological systems.   

- Use this understanding to integrate multimodal biological data and optimize treatments in biohealth.

- acquire basic programming skills in Matlab, use of model repositories, and exchange formats in systems biology.

HAV626V Mathematics for Biology