NormFinder software
NormFinder is an algorithm for identifying the optimal normalization
gene among a set of candidates.
It ranks the set of candidate normalization genes according to their expression
stability in a given sample set and given experimental design.
NormFinder can analyze expression data obtained through any quantitative method e.g. real time RT-PCR and microarray based expression analysis.
"NormFinder.xla" is an Add-in for Microsoft Excel which adds the NormFinder functionality directly to the Excel software package for easy use. The software is free for academic and commercial use.
For documentation on the NormFinder algorithm and NormFinder Add-in see the NormFinder-HowTo, the article and example data referenced below.
Download the latest version of the NormFinder MS Excel Add-in or the version for "R" here.
NEW: Download example data set and view the updated documentation v19.
Download
MS Excel Add-in 2005-jan-05 Version 0.953 |
Documentation updated june 2009 |
Download
version for R updated 2005-02-16 |
Example data (Excel format) updated june 2009 This dataset illustrates, how to plot your data, estimate variances and evaluate normalization genes in your dataset. |
Andersen C.L., Ledet-Jensen J., Ørntoft T.: Normalization of real-time quantitative
RT-PCR data: a model based variance estimation approach to identify genes
suited for normalization - applied to bladder- and colon-cancer data-sets.
Cancer Research. 2004
(64): 5245-5250 PubMed
Supplementary data
Send your questions, comments or feedback to normfinder@mdl.dk.
Updated:
20 January, 2010
MOMA,
Aarhus University Hospital, Skejby, Brendstrupgårdsvej 100, 8200
Århus N, Denmark
Phone +45 8949 9410 | Fax +45 8678 2108 | email: contact@mdl.dk
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