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SMRT Sequencing for Parallel Analysis of Multiple Targets and Accurate SNP Phasing

机译:用于并行分析多个目标和准确SNP分阶段的SMRT测序

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摘要

Single-molecule real-time (SMRT) sequencing generates much longer reads than other widely used next-generation (next-gen) sequencing methods, but its application to whole genome/exome analysis has been limited. Here, we describe the use of SMRT sequencing coupled with barcoding to simultaneously analyze one or a small number of genomic targets derived from multiple sources. In the budding yeast system, SMRT sequencing was used to analyze strand-exchange intermediates generated during mitotic recombination and to analyze genetic changes in a forward mutation assay. The general barcoding-SMRT approach was then extended to diffuse large B-cell lymphoma primary tumors and cell lines, where detected changes agreed with prior Illumina exome sequencing. A distinct advantage afforded by SMRT sequencing over other next-gen methods is that it immediately provides the linkage relationships between SNPs in the target segment sequenced. The strength of our approach for mutation/recombination studies (as well as linkage identification) derives from its inherent computational simplicity coupled with a lack of reliance on sophisticated statistical analyses.
机译:单分子实时(SMRT)测序产生的读数比其他广泛使用的下一代(下一代)测序方法更长,但其在全基因组/外显子组分析中的应用受到限制。在这里,我们描述了结合条形码使用SMRT测序的方法,以同时分析一个或多个源自多个来源的基因组靶标。在发芽酵母系统中,SMRT测序用于分析有丝分裂重组过程中产生的链交换中间体,并在正向突变分析中分析遗传变化。然后,将常规条形码SMRT方法扩展到弥散大的B细胞淋巴瘤原发性肿瘤和细胞系,其中检测到的变化与先前的Illumina外显子组测序一致。 SMRT测序提供的优于其他下一代方法的独特优势在于,它可以立即提供测序的目标片段中SNP之间的连锁关系。我们进行突变/重组研究(以及连锁鉴定)的方法的优势在于其固有的计算简便性以及缺乏对复杂统计分析的依赖。

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