Improved Identification of Protein Coding Region using Wavelet Transform

Abstract

Identification of protein coding regions is an important topic in genomic examination. The various coding DNA modelindependent methods are used where there is an existence of specific pattern of nucleotides. These methods presume the window length required for an examination of a DNA region. The DNA model depending coding methods catches more specific features of coding DNA. The model independent methods capture universal features of coding region. We introduce a method which is independent from the window length. Therefore objective of this paper is to improve the reorganization of protein coding region using wavelet transform with improved thresholding algorithms. This novel transform is adapt to examine periodic signal components and presents the advantage of being independent of the window length. Wavelet transform has a noisy signal, for this an improved wavelet transform threshold method has been used to improve the effects of denoising. The eukaryote data sets are used to analogize the results of proposed method with other previous methods. Finally the output obtained illustrates that the proposed method gives the better results with respect to identification accuracy. This method avoids sources of errors and makes a tool for detailed probe of the nucleotide occurrence.

Performance improvement of the Goertzel algorithm in estimating of protein coding regions using modified anti-notch filter and linear predictive coding model

“…[ 11 ] In addition, the modified wavelet transform method was proposed by Singh et al . [ 12 ] However, the theory of using wavelet transform as an efficient tool in bioinformatics had been discussed some time earlier by Lio. [ 13 ] Filters are widely used in determining genetic regions for their higher speed compared with DFT-based methods.…”