Whitepapers
Whitepaper: qPCR Data Statistical Analysis
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.
