Systems Biology

Systems biology offers the opportunity to understand how living organisms function at different organizational scales. This course will focus primarily on the subcellular scale. At this scale, systems biology models integrate multiple levels of interaction involving 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 basic research into the principles of how living systems function. The course consists of a theoretical component (lectures and tutorials on the modeling of gene, signaling, and metabolic networks) and a practical component (computer labs using MATLAB software).

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

- Be able to apply the basic principles of systems biology (regulatory networks and circuits, stability and robustness, dynamic systems and their attractors, emergent properties) when analyzing biological systems.   

- use this understanding to integrate multimodal biological data and optimize treatments in the field of bioscience and healthcare.

- acquire a basic understanding of programming in MATLAB, as well as the use of model repositories and data exchange formats in systems biology.

HAV626V Mathematics for Biology