RQdeltaCT

RQdeltaCT implements relative quantification of gene expression using delta Ct methods for real-time PCR data analysis.

Key Features:

• Delta Ct Methods: Supports 2-dCt and 2-ddCt methods for comparing means of gene expression between groups of samples without standard curves.
• Data Import: Provides functions for importing datasets into the analysis workflow.
• Quality Control: Performs multistep quality control of real-time PCR data.
• Visualization: Generates numerous visualizations and publication-ready images.
• Statistical Analysis: Includes correlation analysis, Receiver Operating Characteristic analysis, linear regression, and logistic regression.
• Sample Comparison: Analyzes both independent groups of samples and paired samples.
• Result Export: Saves results as tables and publication-ready images.

Scientific Applications:

• Gene Expression Analysis: Determines transcriptional differences between groups of samples or technical replicates using real-time PCR data.
• Biomarker Discovery: Applies Receiver Operating Characteristic analysis and regression methods for potential diagnostic or predictive marker evaluation.
• Correlation Studies: Examines relationships between gene expression levels across samples.

Methodology:

RQdeltaCT applies delta Ct methods (2-dCt and 2-ddCt) to compare means of gene expression between groups without standard curve preparation, with support for both independent and paired sample designs.