  We investigate the large-scale geometry of the DNA-protein complex of
chromatin using a generalized optimality principle, which requires that not
only should all sub-parts of a natural process be optimal but also the
unfolding of higher recursive levels. It was shown previously that an
information-theoretic geometry of the genetic code data, together with the
principle of maximum entropy, explains the variation in the codon groupings
that map into different amino acids and explain its underlying self-similar
structure. Here we take that analysis forward and investigate the fundamental
geometry underling physical and biological space as it gets reflected in
aggregates associated with genomic DNA. The analysis is consistent with the
measured fractal dimension of chromatin.
