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Sublinear growth of information in DNA sequences
Authors:Giulia Menconi
Institution:(1) Dipartimento di Matematica Applicata, Università di Pisa, Via Bonanno 26/b, 56125 Pisa, Italy
Abstract: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, based on the Lempel-Ziv scheme. We study the Information Content as a function of the number of symbols encoded by the algorithm and we analyse the dictionary created by the algorithm. Preliminary results are shown concerning regions showing 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.
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