A new approach for DNA sequence analysis using multiwavelet transform (MWT)

Abstract

Abstract Finding the nucleotide sequence within a DNA (deoxyribonucleic acid) molecule is the process of DNA sequencing. The DNA of every organism is made up of a specific pattern of nucleotides. Scientists can compare the DNA of different organisms by sequence to understand how organisms are connected. Three different forms of DNA sequencing - fragment analysis, Next Generation Sequencing (NGS), and Sanger sequencing - enable many new applications that increase our knowledge of genomes. It significantly impacts how well we understand how the genome works. Finding the hidden structural information of DNA is an important task. This paper introduces Multi-Wavelet Transformation (MWT) for analysis of the sequence of the DNA symbols. The symbolic DNA sequence has four indicator sequences. The MWT assigned symbols to numbers based on DNA structure. It can change each channel’s weighting to optimize energy distribution over MWT output. Analysis of synthetic and actual DNA sequences allowed the researchers to evaluate how well the proposed MWT works. The results show that the MWT has a higher energy dispersion than the regular WT and the bionic wavelet transform (BWT). Future DNA sequence analyses should be able to discover hidden structural features using this MWT approach.