Advancing DNA Signal Processing: Integrating Digital and Biological Nuances for Enhanced Identification of Coding Regions

Abstract

Within the complex realm of DNA sequencing, discerning protein coding areas from non-coding segments proves challenging due to the pervasive 1/f background disturbance. Traditional digital signal processing (DSP) methodologies, while widely adopted, may inadvertently overlook the inherent nuances and intricacies of DNA sequences. This paper critically examines these established DSP-centric methodologies, underscoring their potential inadequacies in capturing the salient characteristics intrinsic to DNA. Notably, nucleotides within the DNA exhibit distinct attributes, such as their triadic configurations, specific structural significance, and particularized density distributions in codons, among other characteristics. By harnessing these inherent features of nucleotides, computational approaches can effectively counteract signal disruptions, enhancing the precision in identifying protein coding regions.