QCB 511 / CBE 511 Graded A-F, P/D/F, Audit
Modeling Tools for Cell and Developmental Biology
Mathematical models of complex natural phenomena can organize large amounts of data, provide access to properties that are difficult or impossible to measure experimentally, and suggest new experimental tests of proposed regulatory mechanisms. Participants will demonstrate these ideas in the context of cell and developmental biology. Using a number of well-established experimental systems, such as dynamic instability of microtubules and circadian clocks, course introduces stochastic and deterministic models of reaction and diffusion processes and computational methods for their analysis.
Sample reading list:
Alon, U, An Introduction to Systems Biology: Design Principles of Bio
Nusslein-Volhard, C., Coming to Life: How Genes Drive Development
Burbank, K.S. and Mitchison, T.J., Microtubule dynamic instability. (Current Biology, 2006)
Kondo, T., Cyanobacterial circadian clock based on the Kai oscillator
Shvartsman, S.Y., Coppey, M., Berezhkovskii, A.M., Dynamics of maternal morphogen gradients in Drosophila
Mogilner, A., Wollman, R., Marshall, W.F., Quantitative modeling in cell biology: what is it good for?
See instructor for complete list
Not Open to Freshmen.
Background: basic probability, calculus, and differential equations. No background in biology is required.
|43156||L01||3:00 pm - 4:20 pm||M Th||Carl C. Icahn Laboratory 280||Enrolled:13 Limit:20|