qPCR ΔΔCt Calculator

Compute relative gene expression using the 2^-ΔΔCt method. Import RDML files or paste Ct values. Efficiency correction, outlier detection, and MIQE checklist. Data never leaves your browser.

ΔΔCt MethodRDML ImportMIQE Checklist

Try it out

Load example qpcr-ddct data to see the full workflow

  • Calculate relative gene expression from qPCR Ct values using the gold-standard ΔΔCt method
  • Import RDML files directly from qPCR instruments for automated Ct extraction
  • Apply efficiency correction (Pfaffl method) when amplification efficiency differs from 100%
  • Generate MIQE-compliant analysis documentation for publication
  • Detect and exclude outlier replicates using the IQR method

Don't use for

  • Absolute quantification (requires standard curves with known copy numbers)
  • Digital PCR data (different analysis framework)
  • Experiments where reference gene expression varies across conditions

The ΔΔCt Method Explained

The ΔΔCt method normalizes gene expression in two steps:

1. ΔCt = Ct(target gene) − Ct(reference gene) — normalizes for RNA input 2. ΔΔCt = ΔCt(treatment) − mean(ΔCt(control)) — normalizes to baseline 3. Fold Change = 2^(−ΔΔCt) — converts to linear scale

The method assumes equal amplification efficiency (~100%) for all genes. When this assumption is violated, use the Pfaffl efficiency-corrected method.

MIQE Guidelines for Reproducible qPCR

The MIQE guidelines (Bustin et al., 2009) define the minimum information needed for reviewers to assess qPCR experiments. Key requirements:

RNA quality: Report RIN values, A260/280, A260/230 • Primer validation: Show specificity (melt curve) and efficiency (standard curve) • Reference genes: Validate stability across conditions • Analysis: State quantification method and software used

The interactive MIQE checklist in this tool helps you document compliance systematically.

Frequently Asked Questions