Exploring nonlinearity to identify genes and intergenic regions in genomes

Anastasios A. Tsonis and Panagiotis A. Tsonis

Physica A: Statistical Mechanics and its Applications, 2005, vol. 348, issue C, 339-348

Abstract: In a previous paper (Physica A 312 (2002) 458) we presented an analysis, which established that DNA sequences exhibit significant nonlinear structure. More specifically, we found that both coding and non-coding sequences exhibit nonlinearity, but coding sequences are more nonlinear than non-coding sequences. Here, we extend this result and we propose an approach which explores nonlinearity to predict genes and intergenic regions in sequenced genomes. Our results compare favorably to other commonly used approaches in this problem.

Keywords: DNA complexity; Linearity; Nonlinearity; Gene prediction (search for similar items in EconPapers)
Date: 2005
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:348:y:2005:i:c:p:339-348

DOI: 10.1016/j.physa.2004.10.002

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