Mendizabal-Ruiz Gerardo, Román-Godínez Israel, Torres-Ramos Sulema, Salido-Ruiz Ricardo A, Morales J Alejandro
Departamento de Ciencias Computacionales, División de Electrónica y Computación, Universidad de Guadalajara, Guadalajara, Jalisco, México.
PLoS One. 2017 Mar 21;12(3):e0173288. doi: 10.1371/journal.pone.0173288. eCollection 2017.
Genomic signal processing (GSP) refers to the use of signal processing for the analysis of genomic data. GSP methods require the transformation or mapping of the genomic data to a numeric representation. To date, several DNA numeric representations (DNR) have been proposed; however, it is not clear what the properties of each DNR are and how the selection of one will affect the results when using a signal processing technique to analyze them. In this paper, we present an experimental study of the characteristics of nine of the most frequently-used DNR. The objective of this paper is to evaluate the behavior of each representation when used to measure the similarity of a given pair of DNA sequences.
基因组信号处理(GSP)是指利用信号处理技术来分析基因组数据。GSP方法要求将基因组数据转换或映射为数字表示形式。迄今为止,已经提出了几种DNA数字表示形式(DNR);然而,尚不清楚每种DNR的特性是什么,以及在使用信号处理技术分析它们时,选择其中一种会如何影响结果。在本文中,我们对九种最常用的DNR的特征进行了实验研究。本文的目的是评估每种表示形式在用于测量给定一对DNA序列的相似性时的表现。