  We introduce a novel method to analyse complete genomes and recognise some
distinctive features by means of an adaptive compression algorithm, which is
not DNA-oriented. We study the Information Content as a function of the number
of symbols encoded by the algorithm. Preliminar results are shown concerning
regions having a sublinear type of information growth, which is strictly
connected to the presence of highly repetitive subregions that might be
supposed to have a regulatory function within the genome.
