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

ABSTRACT:

Background

Normalization of target gene expression, measured by real-time quantitative PCR (qPCR), is a requirement for reducing experimental bias and thereby improving data quality. The currently used normalization approach is based on using one or more reference genes. Yet, this approach extends the experimental work load and suffers from assumptions that may be difficult to meet and to validate.

Results

We developed a data driven normalization algorithm (NORMA-Gene). An analysis of the performance of NORMA-Gene compared to reference gene normalization on artificially generated data-sets showed that the NORMA-Gene normalization yielded more precise results under a large range of parameters tested. Furthermore, when tested on three very different real qPCR data-sets NORMA-G

SUBMITTER: Heckmann LH 

PROVIDER: S-EPMC3223928 | biostudies-literature | 2011 Jun

REPOSITORIES: biostudies-literature