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NormFinder software
NormFinder is an algorithm for identifying the optimal normalization gene among a set of candidates.
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NORMFINDER
The software 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" adds the NormFinder functionality directly to Excel. A version for R (updated June 2014) is also available.
License
The NormFinder software is free for both academical and commercial use. Modification or redistribution of the software is not allowed.
When publishing scientific results where NormFinder software has been used, please cite the original article.
Several alternative normalization software is available, find more information here.
Compatibility
The add-on is compatible with 32 bit Office versions 2003, 2010, 2016. Running the add-on in MS Office 64-bit versions or Mac Office will cause the error 438.
Support
We have published the algorithm in 2004:
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
If you have any further questions, comments or feedback, we are happy to give e-mail support (within a few days) at normfinder@moma.dk.
NormFinder FAQ
Please look here! There is a good chance we have answered your question already.
The input data for Normfinder is supposed to be on a linear scale.Thus, Ct-values (cycle treshold) from a real time RT-PCR should not be used directly.
Transform your Ct values to linear scale expression quantities (without any negative values) by using a standard curve or for assays amplifying at ~100% efficiency by 2-Ct.
The NormFinder software log(N) transforms your data when you upload them, if they are not log-transformed already.Don't use delta-Ct as input data.
If a combination of two or more genes gives the lowest stability value, simply average the raw Ct values of these genes for each sample, and use this value for further calculations.
The Normalization factor is typically calculated as the geometric mean of the reference genes included.
NormFinder aims at identifying one or more genes that are stably expressed across your biological samples.
Technical replicates can be treated as one measurement of the same sample, calculate the median for use in NormFinder.
Biological replicates should be treated as individual samples.
Different time points and independent treatments which infer expression variation should be considered as grouping variables.
NormFinder works with three and more groups, you will obtain an inter-group variation value for each possible pair of groups.
In Office 2007 and 2010 the .xla file will be saved with a .xls file extension. Simply install the add-in by double-clicking and enabling macros and data connections. You will find a new tab Add-ins with the NormFinder software.
If you install the file by browsing to it under the menu Excel-Tools-Add-ins, you need to chose "All File Types" since the .xls file will not be shown.
In Office 2013 and 2016 download and double-click the .xla addon. Allow this macro to run and click "Activate". You find the Normfinder-Add-in under the add-ons tab.
Unfortunately - no. There are no plans for releasing new versions of NormFinder with this functionality.
If you have any further questions, comments or feedback, we are happy to give e-mail support (within a few days) at normfinder@moma.dk.
