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Provides tools for uploading RT-qPCR data into R, looks for the optimal reference genes, and normalises the data using the ΔΔCq method. NormqPCR allows the user to read RT-qPCR data into R, to deal with undetermined Cq values, to find a suitable reference gene or genes for a given experiment using a method for optimal reference gene selection and to normalise the data via the ΔCq and 2−ΔΔCqnormalisation methods. The user can also use a number of existing bioconductor packages and functions to perform quality control on their data, and can check the adequacy of reference genes visually. Implementing popular optimal reference gene finding algorithms as NormqPCR in the widely-used statistical software for genomic analysis, R, represents an important contribution to the RT-qPCR community, and increases the available options for the analysis of this type of data.

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NormqPCR forum

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NormqPCR classification

NormqPCR specifications

Unique identifier:
OMICS_02315
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
License:
GNU Lesser General Public License version 3.0
Stability:
Stable
Software type:
Package/Module
Restrictions to use:
None
Programming languages:
R
Computer skills:
Advanced
Maintained:
Yes

NormqPCR distribution

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No versioning.

NormqPCR support

Documentation

Credits

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Publications

Institution(s)

Institute of Structural and Molecular Biology, University College of London, London, UK

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