Gene and exon prediction using time domain algorithms

E. Ambikairajah, J. Epps, M. Akhtar
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引用次数: 26

Abstract

The protein-coding regions of DNA sequences normally exhibit a period-3 behaviour that can be used to identify gene locations. Various methods have been used to automatically identify the coding regions, however these have been predominantly ‘frequency’ domain techniques. Numerous ‘time’ domain techniques are available from the signal processing literature, and this work examines their applicability to gene and exon prediction in DNA sequences. Two techniques new to this application are introduced: the Time Domain Periodogram (TDP) and the Average Magnitude Difference Function (AMDF). We also present an indicative comparison of time domain and existing frequency domain techniques, from which the AMDF appears to be the most promising technique. Autoregressive modelling methods are further investigated in this work.
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基因和外显子预测使用时域算法
DNA序列的蛋白质编码区通常表现出可用于识别基因位置的周期-3行为。各种方法已被用于自动识别编码区域,然而,这些主要是“频率”域技术。从信号处理文献中可以获得许多“时间”域技术,本研究考察了它们对DNA序列中基因和外显子预测的适用性。介绍了时域周期图(TDP)和平均幅度差函数(AMDF)这两种新技术。我们还提出了时域和现有频域技术的指示性比较,从中AMDF似乎是最有前途的技术。本文对自回归建模方法进行了进一步的研究。
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