Identification of possible differences in coding and non-coding fragments of DNA sequences by using the method of the Recurrence Quantification Analysis

TL;DR

This study uses Recurrence Quantification Analysis to distinguish coding from non-coding DNA fragments, revealing higher long-range correlations in non-coding sequences through measures like Lmax and Laminarity.

Contribution

It applies RQA to DNA sequences to identify differences in long-range correlations between coding and non-coding regions, providing a new analytical approach.

Findings

Non-coding sequences show higher Lmax and Laminarity values.

Long-range correlations are more prominent in non-coding DNA.

RQA effectively differentiates coding from non-coding DNA segments.

Abstract

Starting with the results of Li et al. in 1992 there is valuable interest in finding long range correlations in dna sequences since it raises questions about the role of introns and intron-containing genes. In the present paper we studied two sequences. We applied the method of the recurrence quantification analysis (rqa) that was introduced by Zbilut and Webber in 1994. The significant result that we have here is that both Lmax and Laminarity exhibit very large values in non coding respect to coding sequences. Therefore we suggest that there the claimed higher long range correlations of introns respect to exons from many authors may be explained here in reason of such found higher values of Lmax and of Laminarity.