The qPCR data statistical analysis

Abstract

Data analysis represents one of the biggest bottlenecks in qPCR experiments and the statistical aspects of the analysis are sometimes considered confusing for the non-expert. In this document we present some of the usual methods used in qPCR data analysis and a practical example using Integromics RealTime StatMiner, the unique software analysis package specialized for qPCR experiments which is compatible with all Applied Biosystems Instruments. RealTime StatMiner uses a simple, step-by-step analysis workflow guide that includes parametric, non-parametric and paired tests for relative quantification of gene expression, as well as 2-way ANOVA for two-factor differential expression analysis.