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首页> 外文期刊>Journal of computational biology >Comparison of Analytic Methods for Quantitative Real-Time Polymerase Chain Reaction Data
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Comparison of Analytic Methods for Quantitative Real-Time Polymerase Chain Reaction Data

机译:实时定量聚合酶链反应数据分析方法的比较

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Abstract Polymerase chain reaction (PCR) is a laboratory procedure to amplify and simultaneously quantify targeted DNA molecules, and then detect the product of the reaction at the end of all the amplification cycles. A more modern technique, real-time PCR, also known as quantitative PCR (qPCR), detects the product after each cycle of the progressing reaction by applying a specific fluorescence technique. The quantitative methods currently used to analyze qPCR data result in varying levels of estimation quality. This study compares the accuracy and precision of the estimation achieved by eight different models when applied to the same qPCR dataset. Also, the study evaluates a newly introduced data preprocessing approach, the taking-the-difference approach, and compares it to the currently used approach of subtracting the background fluorescence. The taking-the-difference method subtracts the fluorescence in the former cycle from that in the latter cycle to avoid estimating the background fluorescence. The..." /> rel="meta" type="application/atom+xml" href="http://dx.doi.org/10.1089%2Fcmb.2015.0023" /> rel="meta" type="application/rdf+json" href="http://dx.doi.org/10.1089%2Fcmb.2015.0023" /> rel="meta" type="application/unixref+xml" href="http://dx.doi.org/10.1089%2Fcmb.2015.0023" /> 展开▼
机译:摘要聚合酶链反应(PCR)是一种实验室程序,可扩增并同时定量靶向的DNA分子,然后在所有扩增循环结束时检测反应的产物。实时PCR是一种更现代的技术,也称为定量PCR(qPCR),它通过应用特定的荧光技术在进行反应的每个循环后检测产物。当前用于分析qPCR数据的定量方法导致估算质量的变化。这项研究比较了将八个不同模型应用于同一qPCR数据集时估算的准确性和准确性。此外,该研究还评估了一种新引入的数据预处理方法,即差异分析方法,并将其与当前使用的减去背景荧光的方法进行了比较。差异求差法是将前一个循环的荧光减去后一个循环的荧光,以免估计背景荧光。 The ...“ /> <元名称=” dc.Source“ content =” http://www.liebertpub.com/cmb“ /> <元名称=” dc.Language“ content =” zh-cn“ /> <元名称=” dc.Coverage“ content =” 140 Huguenot Street,3rd Floor New Rochelle,NY 10801 USA“ /> <元名称=” keywords“ content =”效率,线性回归,混合模型,PCR,差异分析“ /> rel =“ meta” type =“ application / atom + xml” href =“ http://dx.doi.org/10.1089%2Fcmb.2015.0023” /> rel =“ meta” type =“ application / rdf + json“ href =” http://dx.doi.org/10.1089%2Fcmb.2015.0023“ /> rel =” meta“ type =” application / unixref + xml“ href =” http://dx.doi.org/10.1089%2Fcmb.2015.0023“ /> <元名称=” MSSmartTagsPreventParsing“ content =” true

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