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基于小波变换的同步分析检测秀丽隐杆线虫基因组中的特定特征。

Detecting particular features in C. elegans genomes using synchronous analysis based on wavelet transform.

作者信息

Elloumi Oueslati Afef, Lachiri Zied, Ellouze Noureddine

机构信息

Unite Signal, Image et Reconnaissance de Formes, Departement de Genie Electrique, ENIT, BP 37, Campus Universitaire, Le Belvedere, 1002, Tunis, Tunisie.

出版信息

Int J Bioinform Res Appl. 2011;7(2):183-201. doi: 10.1504/IJBRA.2011.040096.

Abstract

In this paper, synchronous analysis based on wavelet transform is applied to genomic sequences. To focus on the particular feature of periodicity 3 in the protein-coding region of genes, a coding method is applied on the sequence, which will be segmented to form a pitch synchronous representation. This modelling concept captures period of period fluctuation of signals. The wavelet transform enhances the periodicity, and a given threshold is used to make decision about exon's positions. The algorithm simulation shows the accuracy of the method in simultaneously locating exons and revealing the reading frame associated.

摘要

本文将基于小波变换的同步分析应用于基因组序列。为了聚焦于基因蛋白质编码区中3周期性的特定特征,对序列应用一种编码方法,该序列将被分割以形成基音同步表示。这种建模概念捕捉信号周期波动的周期。小波变换增强了周期性,并使用给定阈值来确定外显子的位置。算法模拟显示了该方法在同时定位外显子和揭示相关阅读框方面的准确性。

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