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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/28199

Title: Protein Coding Regions Prediction by Optimization-Based Spectrum Analysis
Authors: Cheng-Fa Cheng;Meng-Wei Lee;Chin-Teng Chang;Chieh-Yu Tsao
Contributors: NTOU:Department of Communications Navigation and Control Engineering
國立臺灣海洋大學:通訊與導航工程學系
Keywords: Gene prediction;coding regions;sliding Goertzel discrete Fourier transform;noise suppression
Date: 2006-11
Issue Date: 2011-10-21T02:36:11Z
Publisher: 2006 Workshop on Consumer Electronics and Signal Processing
Abstract: Abstract:In this paper, we intend to implement a set of functions to perform the analysis of biomolecular sequences, like DNA, to analyze interesting frequency properties. A digital filtering scheme based on discrete Fourier transform will be adopted to explore the genetic code that translates nucleic acids into proteins. To improve the prediction performance of specific exons within the genes of eukaryotic cells and parasite genomes, the property of period-3 behavior in exons will be used simultaneously. First, we will introduce the sliding Goertzel DFT structure which offers significant advantages with regard to the requirements of memory and number of operation numbers for the efficient real-time gene prediction. And then a noise suppression algorithm will be proposed to purify the signal from the sliding Goertzel DFT and it will help us identify the locations of exons easier. Furthermore, a modified spectral content algorithm with adjustable parameters for improving the ability of identification of coding regions in gene sequence will be investigated. The quadratic window operation technique is also introduced to suppress the noise generated by the noncoding regions. Finally, gene sequence, F56F11.4 in the C-elegans chromosome III, is illustrated to show the applications of our results.
URI: http://ntour.ntou.edu.tw/handle/987654321/28199
Appears in Collections:[通訊與導航工程學系] 演講及研討會

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