  We compare the informational architecture of biological and random networks
to identify informational features that may distinguish biological networks
from random. The study presented here focuses on the Boolean network model for
regulation of the cell cycle of the fission yeast Schizosaccharomyces Pombe. We
compare calculated values of local and global information measures for the
fission yeast cell cycle to the same measures as applied to two different
classes of random networks: random and scale-free. We report patterns in local
information processing and storage that do indeed distinguish biological from
random, associated with control nodes that regulate the function of the fission
yeast cell cycle network. Conversely, we find that integrated information,
which serves as a global measure of "emergent" information processing, does not
differ from random for the case presented. We discuss implications for our
understanding of the informational architecture of the fission yeast cell cycle
network in particular, and more generally for illuminating any distinctive
physics that may be operative in life.
