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A New Relational KMR based algorithm for Microsatellite identification

机译:一种新的基于关系KMR的微卫星识别算法

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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:微卫星是染色体的短DNA序列,由模式的重复本身形成,由一到四个碱基组成。微卫星是遗传作图的良好标记。具有不同程度的变异性,微卫星可用于不同类型的研究。变化不大的微卫星可用于分析相关物种,而选择很少的微卫星可用于识别单个物种内的种群。在本文中,我们将提出一种新的算法,允许研究生物序列中的相似子序列。 DNA的不同区域包含以不同速率突变的序列。一些区域的突变率较高,而其他区域的变化率较低。本文的主要目的是提出一种新的算法和一种新的方法来寻找生物序列中的重复。

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