Aarhus University Hospital Skejby
Free 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" adds the NormFinder
functionality directly to Excel.
The software is free for academic and commercial use.
Find more information in the documentation, the FAQ and the original article below.
Download
MS Excel Add-in 2005-jan-05 Version 0.953 |
Documentation FAQ |
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.
Several alternative normalization software is available, find more information here.
Updated:28 December, 2011
MOMA,
Aarhus University Hospital, Brendstrupgårdsvej 100, 8200
Aarhus N, Denmark
Phone +45 7845 5310| Fax +45 8678 2108 | email: contact@mdl.dk
| webmaster: webmaster@mdl.dk