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

Ammar A.   Sakran; Suha. M.  Hadi; Waleed A. Mahmoud  Al-Jawher

doi:10.36371/port.2023.4.8

Authors

Ammar A. Sakran Informatics Institute for Postgraduate Studies, Iraqi Commission for Computer and Informatics. Iraq
Suha. M. Hadi Informatics Institute for Postgraduate Studies, Iraqi Commission for Computer and Informatics. Iraq
Waleed A. Mahmoud Al-Jawher College of Engineering, Uruk University, Baghdad, Iraq.

Abstract References Downloads Cite Statistics Share Information

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.

Keywords:

DNA Signal Processing, Coding Region Identification, Digital-Biological Integration, 1/f Noise Mitigation, 3-Base Periodicity Analysis, Advanced DSP Techniques

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Sakran, A. A. . ., Hadi, S. M. ., & Al-Jawher, W. A. M. . (2023). Advancing DNA Signal Processing: Integrating Digital and Biological Nuances for Enhanced Identification of Coding Regions. Journal Port Science Research, 6(4), 374–387. https://doi.org/10.36371/port.2023.4.8