Poincaré recurrences of DNA sequence

Abstract

We analyze the statistical properties of Poincaré recurrences of Homo sapiens, mammalian and other DNA sequences taken from Ensembl Genome data base with up to fifteen billions base pairs. We show that the probability of Poincaré recurrences decays in an algebraic way with the Poincaré exponent $\beta \approx 4$ even if oscillatory dependence is well pronounced. The correlations between recurrences decay with an exponent $\nu \approx 0.6$ that leads to an anomalous super-diffusive walk. However, for Homo sapiens sequences, with the largest available statistics, the diffusion coefficient converges to a finite value on distances larger than million base pairs. We argue that the approach based on Poncaré recurrences determines new proximity features between different species and shed a new light on their evolution history.

Research at http://www.quantware.ups-tlse.fr/, Revtex 6 pages, 5 figures, discussion updated and one figure added

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• On universality of algebraic decays in Hamiltonian systems
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• Hypothesis of strong chaos and anomalous diffusion in coupled symplectic maps
• Poincaré recurrences in Hamiltonian systems with a few degrees of freedom
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• Time-irreversibility tests for random-length time series: the matching-time approach applied to DNA
• Dynamics of transposable elements generates structure and symmetries in genetic sequences