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Improved Identification of Protein Coding Region using Wavelet Transform
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 92 - Number 1 |
| Year of Publication: 2014 |
| Authors: Rajbir Singh, Guriqbal Singh, Dheeraj Pal Kaur |
10.5120/15975-4864
|
Rajbir Singh, Guriqbal Singh, Dheeraj Pal Kaur . Improved Identification of Protein Coding Region using Wavelet Transform. International Journal of Computer Applications. 92, 1 ( April 2014), 32-37. DOI=10.5120/15975-4864
Abstract
Identification of protein coding regions is an important topic in genomic examination. The various coding DNA model-independent 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.
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