  The dynamics of coupled intermittent maps is used to model the correlated
structure of genomic sequences. The use of intermittent maps, as opposed to
other simple chaotic maps, is particularly suited for the production of long
range correlation features which are observed in the genomic sequences of
higher eucaryotes. A weighted network approach to symbolic sequences is
introduced and it is shown that coupled intermittent polynomial maps produce
degree and link size distributions with power law exponents similar to the ones
observed in real genomes. The proposed network approach to symbolic sequences
is generic and can be applied to any symbol sequence (artificial or natural).
