NormFinder software

Determine the optimal normalization gene

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" adds the NormFinder functionality directly to Excel. A version for R ( updated June 2014) is also available.


The NormFinder software is free for both academical and commercial use. Modi fication or redistribution of the software is not allowed.
When publishing scientifi c results, where NormFinder software has been used, please cite the original article.

Several alternative normalization software is available, find more information here.


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


Documentation for Excel (v20, May 2010)

Documentation for R (v5, January 2015)

NormFinder FAQ

If you have any further questions, comments or feedback, we are happy to give e-mail support (within a few days) at