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Quantification of massively parallel sequencing libraries – a comparative study of eight methods

机译:大规模并行测序文库的定量–八种方法的比较研究

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Quantification of massively parallel sequencing libraries is important for acquisition of monoclonal beads or clusters prior to clonal amplification and to avoid large variations in library coverage when multiple samples are included in one sequencing analysis. No gold standard for quantification of libraries exists. We assessed eight methods of quantification of libraries by quantifying 54 amplicon, six capture, and six shotgun fragment libraries. Chemically synthesized double-stranded DNA was also quantified. Light spectrophotometry, i.e. NanoDrop, was found to give the highest concentration estimates followed by Qubit and electrophoresis-based instruments (Bioanalyzer, TapeStation, GX Touch, and Fragment Analyzer), while SYBR Green and TaqMan based qPCR assays gave the lowest estimates. qPCR gave more accurate predictions of sequencing coverage than Qubit and TapeStation did. Costs, time-consumption, workflow simplicity, and ability to quantify multiple samples are discussed. Technical specifications, advantages, and disadvantages of the various methods are pointed out.
机译:大规模并行测序文库的定量对于克隆扩增之前获取单克隆珠子或簇非常重要,并且当一个测序分析中包含多个样品时,避免文库覆盖率发生较大变化也很重要。不存在用于文库定量的金标准。我们通过量化54个扩增子,六个捕获和六个shot弹枪片段文库,评估了八种文库定量方法。化学合成的双链DNA也被定量。发现光分光光度法(即NanoDrop)给出了最高的浓度估计值,其次是基于Qubit和电泳的仪器(生物分析仪,TapeStation,GX Touch和片段分析仪),而基于SYBR Green和TaqMan的qPCR分析给出了最低的估计值。与Qubit和TapeStation相比,qPCR可以更准确地预测测序覆盖率。讨论了成本,时间消耗,工作流程简单性以及量化多个样本的能力。指出了各种方法的技术规格,优点和缺点。

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