The qPCR Data Statistical Analysis

Integromics® White Paper

  • Ramon Goni1*, Patricia García1 and Sylvain Foissac1
  • 1Integromics SL, Madrid Science Park, 2 Santiago Grisolía, 28760 Tres Cantos, Spain
  • *To whom correspondence should be addressed. Email:
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.
Keywords: qPCR, data analysis, RealTime StatMiner