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A Novel Way to Divide the Genome for CNV Detecting in SNP arrays

机译:在SNP阵列中除以基因组基因组的新方法

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Copy number variations (CNVs) are the gains or losses on the genomic DNA from several kilo-bases to hundreds of kilo-bases, which has been proven that more than 12% of genomes could be affected by such variants. Newly developed microarray technologies which were allowed to investigate copy number variants in a genome run slowly and are limited to detect small-sized CNV flexibly. Here we propose a novel way to detect CNV regions in the chromosomes quickly, which use the breakpoint method to define the aberration area. This algorithm uses the P-value of the T-test statistic to get breakpoints and defines the alteration segment. We also introduce a rule for stopping early when there is no breakpoint in the region. To detect CNVs smaller, another rule also needs to detect whether the segment needs to be divided or combined. This method is demonstrated availably on the SNP data to detect copy number alterations.
机译:拷贝数变异(CNV)是从几公斤基础到数百千克基础的基因组DNA上的收益或损失,这已被证明超过12%的基因组可能受到这种变种的影响。新开发的微阵列技术被允许调查基因组中的拷贝数变体慢慢运行,而是限于灵活地检测小型CNV。在这里,我们提出了一种快速检测染色体中CNV区域的新方法,它使用断点方法来定义像差区域。该算法使用T-Test统计器的P值来获取断点并定义改变段。当该地区没有断点时,我们还介绍了一项规则来暂缓停止。为了检测CNVs较小,另一个规则还需要检测是否需要划分或组合该段。可在SNP数据上展示此方法以检测副本编号更改。

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