Cargando…

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

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Pabinger, Stephan, Rödiger, Stefan, Kriegner, Albert, Vierlinger, Klemens, Weinhäusel, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5129434/
https://www.ncbi.nlm.nih.gov/pubmed/27920994
http://dx.doi.org/10.1016/j.bdq.2014.08.002
_version_ 1782470587296251904
author Pabinger, Stephan
Rödiger, Stefan
Kriegner, Albert
Vierlinger, Klemens
Weinhäusel, Andreas
author_facet Pabinger, Stephan
Rödiger, Stefan
Kriegner, Albert
Vierlinger, Klemens
Weinhäusel, Andreas
author_sort Pabinger, Stephan
collection PubMed
description 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.
format Online
Article
Text
id pubmed-5129434
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-51294342016-12-05 A survey of tools for the analysis of quantitative PCR (qPCR) data Pabinger, Stephan Rödiger, Stefan Kriegner, Albert Vierlinger, Klemens Weinhäusel, Andreas Biomol Detect Quantif Review Article 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. Elsevier 2014-09-06 /pmc/articles/PMC5129434/ /pubmed/27920994 http://dx.doi.org/10.1016/j.bdq.2014.08.002 Text en © 2014 Published by Elsevier GmbH. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Review Article
Pabinger, Stephan
Rödiger, Stefan
Kriegner, Albert
Vierlinger, Klemens
Weinhäusel, Andreas
A survey of tools for the analysis of quantitative PCR (qPCR) data
title A survey of tools for the analysis of quantitative PCR (qPCR) data
title_full A survey of tools for the analysis of quantitative PCR (qPCR) data
title_fullStr A survey of tools for the analysis of quantitative PCR (qPCR) data
title_full_unstemmed A survey of tools for the analysis of quantitative PCR (qPCR) data
title_short A survey of tools for the analysis of quantitative PCR (qPCR) data
title_sort survey of tools for the analysis of quantitative pcr (qpcr) data
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5129434/
https://www.ncbi.nlm.nih.gov/pubmed/27920994
http://dx.doi.org/10.1016/j.bdq.2014.08.002
work_keys_str_mv AT pabingerstephan asurveyoftoolsfortheanalysisofquantitativepcrqpcrdata
AT rodigerstefan asurveyoftoolsfortheanalysisofquantitativepcrqpcrdata
AT kriegneralbert asurveyoftoolsfortheanalysisofquantitativepcrqpcrdata
AT vierlingerklemens asurveyoftoolsfortheanalysisofquantitativepcrqpcrdata
AT weinhauselandreas asurveyoftoolsfortheanalysisofquantitativepcrqpcrdata
AT pabingerstephan surveyoftoolsfortheanalysisofquantitativepcrqpcrdata
AT rodigerstefan surveyoftoolsfortheanalysisofquantitativepcrqpcrdata
AT kriegneralbert surveyoftoolsfortheanalysisofquantitativepcrqpcrdata
AT vierlingerklemens surveyoftoolsfortheanalysisofquantitativepcrqpcrdata
AT weinhauselandreas surveyoftoolsfortheanalysisofquantitativepcrqpcrdata