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Course Catalog Description
Regulatory and control processes in cells are presented from a genetic and biochemical network perspective. Systems analysis of networks include logical (Boolean), deterministic (differential equations), and stochastic approaches. Case studies of gene regulatory networks as well as metabolic, signaling, cell survival, proliferation and death pathways are discussed. Existing modeling platforms of systems biology and bioinformatic pathways databases are introduced.
Course Objectives
A primary goal of this course is to provide students with an integrated view of the regulatory and control mechanisms in a biological cell at the genetic and biochemical levels. This integration is essential for students in engineering and bioinformatics to appreciate the meaning and implications of the exploding fields of genomics, proteomics and other high-throughput data-generating technologies. The systems viewpoint emphasized in this course requires a sufficient overview of the molecular biology of the cell – a requirement that will be carefully provided by the instructor. The instructor will emphasize basic and well-developed modeling tools (mathematical and computational) for analyzing complex regulatory networks in general, as well as identify research areas that are still open for development. After sufficient introduction of the various cellular processes covered in this course, a case-study teaching approach (using examples from the recent literature) will be adopted so that students are exposed to the details and rigor of modeling complex systems. An important goal of this course is to make students aware of the existing and rapidly accumulating bioinformatics and systems biology resources, as well as biotechnological trends. Thus, an important component of this course is a set of invited lectures given by active researchers in the field. |