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Multiplexed highly-accurate DNA sequencing of closely-related HIV-1 variants using continuous long reads from single molecule, real-time sequencing

机译:使用单分子连续长时间读取,实时测序对紧密相关的HIV-1变体进行多重高精度DNA测序

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摘要

Single Molecule, Real-Time (SMRT (R)) Sequencing (Pacific Biosciences, Menlo Park, CA, USA) provides the longest continuous DNA sequencing reads currently available. However, the relatively high error rate in the raw read data requires novel analysis methods to deconvolute sequences derived from complex samples. Here, we present a workflow of novel computer algorithms able to reconstruct viral variant genomes present in mixtures with an accuracy of > QV50. This approach relies exclusively on Continuous Long Reads (CLR), which are the raw reads generated during SMRT Sequencing. We successfully implement this workflow for simultaneous sequencing of mixtures containing up to forty different > 9 kb HIV-1 full genomes. This was achieved using a single SMRT Cell for each mixture and desktop computing power. This novel approach opens the possibility of solving complex sequencing tasks that currently lack a solution.
机译:单分子实时(SMRT(R))测序(Pacific Biosciences,美国加利福尼亚州门罗帕克,美国)提供最长的连续DNA测序读数。但是,原始读取数据中较高的错误率要求使用新颖的分析方法对来自复杂样本的序列进行反卷积。在这里,我们介绍了一种新型计算机算法的工作流程,该算法能够以> QV50的精度重建混合物中存在的病毒变异基因组。此方法仅依赖于连续长读取(CLR),即SMRT排序期间生成的原始读取。我们成功实现了此工作流程,用于同时测序包含多达40个不同的> 9 kb HIV-1全基因组的混合物。这是通过使用单个SMRT单元实现每种混合物和桌面计算能力来实现的。这种新颖的方法为解决目前缺乏解决方案的复杂测序任务提供了可能性。

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