shinyCurves

shinyCurves analyzes multisource qPCR and qRT-PCR amplification data, integrating independent multi-plate formats to classify results and generate amplification and melting curve visualizations for applications such as SARS-CoV-2 detection and gene expression quantification.

Key Features:

• Multisource Data Integration: Handles qPCR and qRT-PCR data from multiple sources and independent multi-plate formats to enable cross-run comparison.
• Automated Analysis System: Implements automated algorithms to classify qPCR results based on predefined criteria and to process large datasets.
• Visualization Capabilities: Generates plots of amplification and melting curves to assess PCR efficiency and specificity.

Scientific Applications:

• Viral detection (SARS-CoV-2): Enables analysis and classification of qRT-PCR/qPCR assays for viral detection, including SARS-CoV-2.
• qPCR-based studies: Facilitates comparative analysis across multisource qPCR experiments and independent multi-plate formats.
• Gene expression quantification: Supports precise quantification and comparison of gene expression levels from qPCR and qRT-PCR data.

Methodology:

Automated algorithms classify qPCR/qRT-PCR results based on predefined criteria; plotting of amplification and melting curves is used to examine PCR efficiency and specificity; data integration supports multisource and independent multi-plate formats.