Computational and Mathematical Modeling for Plant Systems Biology
(Training)

Plant science is evolving from a reductionistic view on gene function to an integrated systems biology approach, in which gene functions are studied in the context of the dynamic behavior of physiological, cellular, or developmental processes. Mathematical and computational modeling play a central role in this multiscale systems biology approach. 

This summer school course brought together a wide range of computational systems biologists, working on problems at different organizational levels, relevant to plant biologists.

The course started with phenomena occurring at the subcellular and cellular scale, including photosynthesis, cell cycle regulation and the organization of the cytoskeleton. Then it gradually "scaled up" to the tissue, organ, and whole plant levels. It concluded with pattern formation in tissues, the mechanics of growth, and whole plant development and evolution.

The course included a series of general lectures aimed at a general audience of plant biologists, and in-depth afternoon computer lab sessions introducing participants to the underlying mathematical and computational techniques