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A New Relational KMR based algorithm for Microsatellite identification

机译:一种新的微卫星识别基于KMR的算法

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Microsatellites are short DNA sequences of chromosomes formed by the repetition of a pattern itself consists of one to four bases. Microsatellites are good markers for genetic mapping. With different levels of variability, Microsatellites are useful for different types of studies. Microsatellites with little variation are useful for analysis of related species, while those with few alternatives are useful in identifying populations within a single species. In this paper we will present a new algorithm allowing the research of similar subsequences in biological sequences. Different regions of DNA contain sequences that mutate at different rates. Some regions have a high mutation rate, while others have low rates of change. The main goal of this paper is to present a new algorithm and a new way to find repetition in biological sequences.
机译:微卫星是通过重复图案本身而形成的染色体的短DNA序列,该染色体本身由一到四个碱基组成。微卫星是遗传映射的好标记。具有不同水平的可变性,微卫星对于不同类型的研究是有用的。具有很少变化的微卫星可用于分析相关物种,而具有少数替代方案的人可用于鉴定单一物种内的群体。在本文中,我们将提出一种新的算法,允许在生物序列中研究类似的子序列。 DNA的不同区域含有不同速率突变的序列。一些地区具有高突变率,而其他地区的变化率低。本文的主要目标是展示一种新的算法和一种在生物序列中找到重复的新方法。

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