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Identifying structural variants using linked-read sequencing data

机译:使用链接读取测序数据识别结构变体

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Motivation: Structural variation, including large deletions, duplications, inversions, translocations and other rearrangements, is common in human and cancer genomes. A number of methods have been developed to identify structural variants from Illumina short-read sequencing data. However, reliable identification of structural variants remains challenging because many variants have breakpoints in repetitive regions of the genome and thus are difficult to identify with short reads. The recently developed linked-read sequencing technology from 10X Genomics combines a novel bar-coding strategy with Illumina sequencing. This technology labels all reads that originate from a small number (similar to 5 to 10) DNA molecules similar to 50 Kbp in length with the same molecular barcode. These barcoded reads contain long-range sequence information that is advantageous for identification of structural variants.
机译:动机:结构变异,包括大缺失,重复性,倒置,易位和其他重排,在人和癌症基因组中是常见的。 已经开发了许多方法来鉴定来自Illumina短读取测序数据的结构变体。 然而,可靠的结构变体的鉴定仍然挑战,因为许多变体在基因组的重复区域中具有断裂点,因此难以识别短读取。 来自10X基因组学的最近开发的联系读取测序技术结合了一种新的吧编码策略与illumina测序。 该技术标记了源自少数(类似于5至10)DNA分子的读取,其长度与相同的分子条形码相似的50kbp。 这些条形码读数包含远程序列信息,可用于识别结构变体。

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