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Unbiased mining tool of repetitive elements and their arrangement structure for large size genomes

机译:大基因组重复元素的无偏挖掘工具及其排列结构

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Genes are reported to constitute only 2∼3% of the human genome, whereas repetitive elements (REs) make up a large portion of genomes of human and other eukaryotes. However, existing algorithms or tools for identification of REs as well as biological researches focus on the known specific REs. Thus, we design and implement a tool for unbiased mining of REs for large size genomes, called REMiner, in this paper. REMiner provides fast computation with low memory usage for the huge size of input genomic data. We show some interesting repeat patterns of the human chromosomes, which have not yet been reported. This chromosome-wide survey of complex, but highly-ordered RE array, will provide a foundation for a novel investigation into the genome.
机译:据报道,基因仅构成人类基因组的2〜3%,而重复元素(RES)构成了人和其他真核生物的大部分基因组。然而,现有的算法或用于识别RE的工具以及生物学研究专注于已知的特定RES。因此,我们在本文中设计并实施了用于大尺寸基因组的res的res的工具,称为后遗物。 Reminer提供了快速计算,具有较大的输入基因组数据的低内存使用情况。我们尚未报告的人染色体的一些有趣的重复模式。这种对复杂但高度有序的RE阵列的这种染色体型调查将为对基因组进行新的调查提供基础。

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