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Alignment-free genomic sequence comparison using FCGR and signal processing

机译:使用FCGR和信号处理的无比对基因组序列比较

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摘要

For fairly short nucleotide sequences, of up to perhaps 100 bp, methods that are based on aligning strings can be quite powerful. These do not scale well to longer sequences. In recent decades there has thus been considerable work in developing alignment-free methods for comparing longer gene fragments. A far from exhaustive list of references is [ – ] (and an extensive review of these is found in [ ]). A key idea is to capture some aspects of the sequences, perhaps as images or numeric vectors, and apply image and/or signal processing methods in a way that is fast and allows for distance-based comparisons. One family of methods (well represented in the above references) uses the Frequency Chaos Game Representation (FCGR) [ , ] (based on earlier work by Jeffrey [ ]). This creates images with certain fractal properties that capture frequencies of -mers for modest values of (as will be explained in the “ ” subsubsection of the “ ” section). A number of different processing methods have then been deployed in order to classify these images; references [ , , , , , , – ] show several of these and convey some idea of their variety.
机译:对于可能高达100 bp的相当短的核苷酸序列,基于比对字符串的方法可能会非常有效。这些不能很好地扩展到更长的序列。因此,近几十年来,在开发用于比较较长基因片段的无比对方法方面进行了大量工作。 [–]远不是详尽的参考文献列表(有关大量参考文献,请参见[])。一个关键思想是捕获序列的某些方面(可能是图像或数字矢量),并以快速且允许基于距离的比较的方式应用图像和/或信号处理方法。一种方法(在以上参考文献中很好地表示)使用频率混沌游戏表示法(FCGR)[,](基于Jeffrey []的早期工作)。这将创建具有某些分形特性的图像,这些图像可以捕获-mers的适度值为的频率(将在“”部分的“”子部分中进行说明)。为了对这些图像进行分类,随后部署了许多不同的处理方法。参考文献[,,,,,– –]显示了其中的几种,并传达了其变化的一些想法。

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