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Optimal Nucleotides Range Estimation in Diffused Intron-exon Noise

Nucleotides range estimation in diffused intron-exon noise is a critical and challenging problem whose solution may bring fruitful results for drug design and genetic disorders research. Many solutions have been proposed for approximate bound estimation but an optimal solution is still required. This paper focuses the novel solution for nucleotide range estimation. It incorporates denoising DNA signal with discrete wavelet transforms and indicator sequence. Upsampling and downsampling of signal in conjunction with suitable nucleotide choice greatly removes 1/f noise. We performed a comprehensive comparative analysis of proposed approach with existing ones over real datasets from NCBI and found significant improvement in prediction accuracy in diffused intron-exon noise and 75% reduction in computations than Binary method. This profound achievement in results may help in achieving the optimal solution for the problem.