Title: Identification of protein-coding regions in eukaryotes using Fourier Transforms and Singular Value Decomposition using multiple length sliding windows

Authors: Malaya Kumar Hota, Vinay Kumar Srivastava

Addresses: Department of Electronics and Communication Engineering, Motilal Nehru National Institute of Technology, Allahabad 211004, Uttar Pradesh, India. ' Department of Electronics and Communication Engineering, Motilal Nehru National Institute of Technology, Allahabad 211004, Uttar Pradesh, India

Abstract: Digital signal processing techniques have already proven to be powerful tools for the identification of protein-coding regions. Proper selection of sliding window length is an important factor in improving the identification accuracy in Short-Time Discrete Fourier Transform (ST-DFT) method. A novel weighted mean multi-window (with different sliding window lengths) ST-DFT with Singular Value Decomposition (ST-DFT-SVD) method for the identification of protein-coding regions is proposed in this paper. The proposed method has two modes of operation: training mode and testing mode. The performance of the proposed method is evaluated in comparison with other existing methods such as ST-DFT, anti-notch filter and multi-stage filter. The results show that the proposed method provides superior performance in terms of identification accuracy.

Keywords: digital signal processing; DSP; protein coding regions; ST-DFT; short time discrete Fourier transform; SVD; singular value decomposition; eukaryotes; multiple length sliding windows; identification accuracy.

DOI: 10.1504/IJSISE.2011.041604

International Journal of Signal and Imaging Systems Engineering, 2011 Vol.4 No.2, pp.115 - 122

Published online: 13 Mar 2015 *

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