I will present some new ideas for how to coarse grain linear
dynamical systems through aggregation of variables. Both
spectral methods and a very recent technique based on
identification of ground states in a corresponding Potts
glass model will be discussed. The methods are demonstrated
by application to coarse graining of cellular automata and
identification of the genetic code and higher level amino
acid groups from DNA mutation statistics.