A survey of tools for the analysis of quantitative PCR (qPCR) data

Q1 Biochemistry, Genetics and Molecular Biology
Stephan Pabinger , Stefan Rödiger , Albert Kriegner , Klemens Vierlinger , Andreas Weinhäusel
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引用次数: 157

Abstract

Real-time quantitative polymerase-chain-reaction (qPCR) is a standard technique in most laboratories used for various applications in basic research. Analysis of qPCR data is a crucial part of the entire experiment, which has led to the development of a plethora of methods. The released tools either cover specific parts of the workflow or provide complete analysis solutions.

Here, we surveyed 27 open-access software packages and tools for the analysis of qPCR data. The survey includes 8 Microsoft Windows, 5 web-based, 9 R-based and 5 tools from other platforms. Reviewed packages and tools support the analysis of different qPCR applications, such as RNA quantification, DNA methylation, genotyping, identification of copy number variations, and digital PCR. We report an overview of the functionality, features and specific requirements of the individual software tools, such as data exchange formats, availability of a graphical user interface, included procedures for graphical data presentation, and offered statistical methods. In addition, we provide an overview about quantification strategies, and report various applications of qPCR.

Our comprehensive survey showed that most tools use their own file format and only a fraction of the currently existing tools support the standardized data exchange format RDML. To allow a more streamlined and comparable analysis of qPCR data, more vendors and tools need to adapt the standardized format to encourage the exchange of data between instrument software, analysis tools, and researchers.

定量PCR (qPCR)数据分析工具综述
实时定量聚合酶链反应(qPCR)是大多数实验室用于各种基础研究的标准技术。qPCR数据的分析是整个实验的关键部分,这导致了大量方法的发展。发布的工具要么覆盖工作流的特定部分,要么提供完整的分析解决方案。在这里,我们调查了27个开放获取的qPCR数据分析软件包和工具。该调查包括8个微软Windows、5个基于网络、9个基于r和5个来自其他平台的工具。回顾包和工具支持分析不同的qPCR应用,如RNA定量,DNA甲基化,基因分型,拷贝数变异鉴定,和数字PCR。我们概述了各个软件工具的功能、特性和具体要求,例如数据交换格式、图形用户界面的可用性、包含图形数据表示的程序以及提供的统计方法。此外,我们提供了定量策略的概述,并报告了qPCR的各种应用。我们的综合调查显示,大多数工具使用自己的文件格式,只有一小部分现有工具支持标准化的数据交换格式RDML。为了对qPCR数据进行更简化和可比较的分析,更多的供应商和工具需要采用标准化格式,以鼓励仪器软件、分析工具和研究人员之间的数据交换。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Biomolecular Detection and Quantification
Biomolecular Detection and Quantification Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
14.20
自引率
0.00%
发文量
0
审稿时长
8 weeks
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