ddCt

ddCt computes relative gene expression from quantitative real-time PCR (qRT-PCR) data using a standard curve–free approximation while assuming consistent amplification efficiencies across samples.

Key Features:

• Standard Curve–Free Analysis: Determines relative gene expression without requiring an individual standard curve for each primer-target pair.
• Amplification Efficiency Assumptions: Relies on the assumption that amplification efficiencies are consistent across samples for the approximation to hold.
• Integrated Pipeline: Implements a pipeline for collecting, analyzing, and visualizing qRT-PCR data and is compatible with outputs from TaqMan SDM.
• Visualization Capabilities: Provides visualization options to aid interpretation of qRT-PCR results.
• Bioconductor Integration: Integrates with Bioconductor (R) for use within an R-based bioinformatics framework.

Scientific Applications:

• Genomics: Quantifies relative gene expression in genomics studies using qRT-PCR data.
• Molecular Biology: Supports qRT-PCR-based analyses in molecular biology experiments requiring relative expression comparisons.
• High-Throughput qRT-PCR Analysis: Handles large qRT-PCR datasets for high-throughput expression screening.
• Clinical Research: Applies relative expression approximation in clinical studies that use qRT-PCR measurements.

Methodology:

Uses a statistical approximation method to infer relative gene expression without per-primer standard curves and integrates with Bioconductor in R.