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SLR: a scaffolding algorithm based on long reads and contig classification

机译:SLR:一种基于长读和重叠群分类的脚手架算法

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摘要

BackgroundScaffolding is an important step in genome assembly that orders and orients the contigs produced by assemblers. However, repetitive regions in contigs usually prevent scaffolding from producing accurate results. How to solve the problem of repetitive regions has received a great deal of attention. In the past few years, long reads sequenced by third-generation sequencing technologies (Pacific Biosciences and Oxford Nanopore) have been demonstrated to be useful for sequencing repetitive regions in genomes. Although some stand-alone scaffolding algorithms based on long reads have been presented, scaffolding still requires a new strategy to take full advantage of the characteristics of long reads.
机译:背景技术脚手架折叠是基因组组装中的重要步骤,可对组装者产生的重叠群进行排序和定向。但是,重叠群中的重复区域通常会阻止脚手架产生准确的结果。如何解决重复性地区问题已引起广泛关注。在过去的几年中,通过第三代测序技术(Pacific Biosciences和Oxford Nanopore)测序的长读段已被证明可用于对基因组中的重复区域进行测序。尽管已经提出了一些基于长读的独立脚手架算法,但是脚手架仍然需要一种新的策略来充分利用长读的特性。

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