A genome signature derived from the interplay of word frequencies and symbol correlations

Simon Möller, Heike Hameister and Marc-Thorsten Hütt

Physica A: Statistical Mechanics and its Applications, 2014, vol. 414, issue C, 216-226

Abstract: Genome signatures are statistical properties of DNA sequences that provide information on the underlying species. It is not understood, how such species-discriminating statistical properties arise from processes of genome evolution and from functional properties of the DNA. Investigating the interplay of different genome signatures can contribute to this understanding. Here we analyze the statistical dependences of two such genome signatures: word frequencies and symbol correlations at short and intermediate distances.

Keywords: DNA sequences; Symbol correlations; Autoregressive processes; Phylogeny; Genome evolution; Markov processes (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:414:y:2014:i:c:p:216-226

DOI: 10.1016/j.physa.2014.07.048

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