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Bioinformatics Advance Access originally published online on May 14, 2008
Bioinformatics 2008 24(13):1549-1551; doi:10.1093/bioinformatics/btn227
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© The Author 2008. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

qpcR: an R package for sigmoidal model selection in quantitative real-time polymerase chain reaction analysis

Christian Ritz 1 and Andrej-Nikolai Spiess 2,*

1Statistics Group, Department of Natural Sciences, Faculty of Life Sciences, University of Copenhagen, Copenhagen, Denmark and 2Department of Andrology, University Hospital Hamburg-Eppendorf, Hamburg, Germany

*To whom correspondence should be addressed.


  Abstract

Summary: The qpcR library is an add-on to the free R statistical environment performing sigmoidal model selection in real-time quantitative polymerase chain reaction (PCR) data analysis. Additionally, the package implements the most commonly used algorithms for real-time PCR data analysis and is capable of extensive statistical comparison for the selection and evaluation of the different models based on several measures of goodness of fit.

Availability: www.dr-spiess.de/qpcR.html.

Contact: a.spiess{at}uke.uni-hamburg.de

Supplementary Information: Statistical evaluations of the implemented methods can be found at www.dr-spiess.de under ‘Supplemental Data’.

Associate Editor: Trey Ideker

Received on October 22, 2008; revised on February 7, 2008; accepted on May 7, 2008

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