Computational Biology 1

Written by

The course provides an introduction to modelling macroscopic biological systems. Topics discussed are population dynamics and ecosystems, gene regulation, enzymatic reactions, morphogenesis and pattern formation, and time-series analysis.

Student portal page: http://www.student.chalmers.se/sp/course?course_id=14892

External course webpage: http://fy.chalmers.se/~frtbm/ComputationalBiologyA/index.html

Bernhard Mehlig

A fundamental question in the statistical physics of  complex systems is how spatial and temporal randomness may generate patterns and dynamics.

The dynamics of complex systems can be systematically analysed using diffusion equations and random-matrix theory.  This approach may yield, as experience shows, surprisingly universal, and in several cases analytically exact results. More importantly, the results show that at first sight unrelated phenomena observed in complex systems in a wide range of different disciplines (Biology, Condensed Matter Physics, and Fluid Dynamics) can be understood in terms of simple and thus general mechanisms.

physics.gu.se/~frtbm/joomla/ | This email address is being protected from spambots. You need JavaScript enabled to view it.

Latest from Bernhard Mehlig