The Effect of Numerical Mapping Techniques on Performance in Genomic Research

Seda Nur Gülocak; Bihter Daş

doi:10.35377/saucis...1191850

Research Article

Year 2022, , 315 - 340, 31.12.2022

Seda Nur Gülocak , Bihter Daş

https://doi.org/10.35377/saucis...1191850

Abstract

References

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The Effect of Numerical Mapping Techniques on Performance in Genomic Research

Year 2022, , 315 - 340, 31.12.2022

Seda Nur Gülocak , Bihter Daş

https://doi.org/10.35377/saucis...1191850

Abstract

In genomic signal processing applications, digitization of these signals is needed to process and analyze DNA signals. In the digitization process, the mapping technique to be chosen greatly affects the performance of the system for the genomic domain to be studied. The purpose of this review is to analyze how numerical mapping techniques used in digitizing DNA sequences affect performance in genomic studies. For this purpose, all digital coding techniques presented in the literature in the studies conducted in the last 10 years have been examined, and the numerical representations of these techniques are given in a sample DNA sequence. In addition, the frequency of use of these coding techniques in four popular genomic areas such as exon region identification, exon-intron classification, phylogenetic analysis, gene detection, and the min-max range of the performances obtained by using these techniques in that area are also given. This study is thought to be a guide for researchers who want to work in the field of bioinformatics.

Keywords

Numerical mapping techniques, Genomic analysis, DNA encoding schemes, Genomic signal processing, DNA sequence

References

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Details

Primary Language	English
Subjects	Software Engineering (Other)
Journal Section	Articles
Authors	Seda Nur Gülocak 0000-0003-1849-3555 Bihter Daş 0000-0002-2498-3297
Publication Date	December 31, 2022
Submission Date	October 19, 2022
Acceptance Date	November 1, 2022
Published in Issue	Year 2022

Cite

IEEE	S. N. Gülocak and B. Daş, “The Effect of Numerical Mapping Techniques on Performance in Genomic Research”, SAUCIS, vol. 5, no. 3, pp. 315–340, 2022, doi: 10.35377/saucis...1191850.

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