Open Access Highly Accessed Research article

NORMA-Gene: A simple and robust method for qPCR normalization based on target gene data

Lars-Henrik Heckmann, Peter B Sørensen, Paul Henning Krogh and Jesper G Sørensen*

  • * Corresponding author: Jesper G Sørensen jgs@dmu.dk

Author Affiliations

National Environmental Research Institute, Aarhus University, Department of Terrestrial Ecology, Vejlsøvej 25, DK-8600 Silkeborg, Denmark

For all author emails, please log on.

BMC Bioinformatics 2011, 12:250  doi:10.1186/1471-2105-12-250

Published: 21 June 2011

Additional files

Additional file 1:

Appendix A. The file is an appendix providing detailed derivation of the equations underlying the NORMA-Gene algorithm.

Format: DOC Size: 77KB Download file

This file can be viewed with: Microsoft Word Viewer

Open Data

Additional file 2:

Figure S1. The figure shows scatter of the normalized mean expression values in artificial data (see summary of this statistics in Figure 2).

Format: DOC Size: 373KB Download file

This file can be viewed with: Microsoft Word Viewer

Open Data

Additional file 3:

Table S1-Overview of analyzed data-sets. The table displays a table of experimental information related to the analysed data-sets (I-III).

Format: DOC Size: 43KB Download file

This file can be viewed with: Microsoft Word Viewer

Open Data

Additional file 4:

Figure S2. The figure provides a validation of the effect of number of genes on mean and standard deviation of the fitted a for the real data-sets.

Format: DOC Size: 50KB Download file

This file can be viewed with: Microsoft Word Viewer

Open Data

Additional file 5:

Figure S3. The figure shows the relative effect of normalization on expression values in each replicate for the real data-sets.

Format: DOC Size: 45KB Download file

This file can be viewed with: Microsoft Word Viewer

Open Data

Additional file 6:

Figure S4. The figure shows the relative effect of normalization on variation in each treatment for the real data-sets.

Format: DOC Size: 41KB Download file

This file can be viewed with: Microsoft Word Viewer

Open Data