Recently a second software tool, Q-Gene, was developed, which is able to perform a statistical test of the real-time data (Muller et al., 2002). Q-Gene manages and expedites the planning, performance and evaluation of quantitative real-time PCR experiments. The expression results were presented by graphical presentation. An efficiency correction according to the dilution method is possible (eq. 9). Q-Gene can cope with complex quantitative real-time PCR experiments at a high-throughput scale (96-well and 384-well format) and considerably expedites and rationalizes the experimental set-up, data analysis, and data management while ensuring highest reproducibility. The Q-Gene Statistics Add-In is a collection of several VBA programs for the rapid and menu-guided performance of frequently used parametric and non-parametric statistical tests. To assess the level of significance between any two groups' expression values, it is possible to perform a paired or an unpaired Student's test, a Mann-Whitney U-test, or Wilcoxon signed-rank test. In addition, the Pearson's correlation analysis can be applied between two matched groups of expression values. Furthermore, all statistical programs calculate the mean values of both groups analyzed and their difference in percent (Muller et al., 2002).

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