Measuring the Score Matching of the Pairwise Deoxyribonucleic Acid Sequencing using Neuro-Fuzzy

Safa A. Hameed; Raed I. Hamed

doi:10.24086/cuesj.v3n2y2019.pp37-41

Safa A. Hameed Department of Computer Science, College of Engineering and Science, University of Bayan, Erbil, Iraq https://orcid.org/0000-0002-7628-2118
Raed I. Hamed Department of Computer Science, College of Engineering and Science, University of Bayan, Erbil, Iraq https://orcid.org/0000-0003-0093-2142

DOI: https://doi.org/10.24086/cuesj.v3n2y2019.pp37-41

Keywords: Component, Dynamic programming, Matching, Neuro-fuzzy, Sequence alignment

Abstract

The proposed model for getting the score matching of the deoxyribonucleic acid (DNA) sequence is introduced; the Neuro-Fuzzy procedure is the strategy actualized in this paper; it is used the collection of biological information of the DNA sequence performing with global and local calculations so as to advance the ideal arrangement; we utilize the pairwise DNA sequence alignment to gauge the score of the likeness, which depend on information gathering from the pairwise DNA series to be embedded into the implicit framework; an adaptive neuro-fuzzy inference system model is reasonable for foreseeing the matching score through the preparation and testing in neural system and the induction fuzzy system in fuzzy logic that accomplishes the outcome in elite execution.

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