miRcomp-Shiny

miRcomp-Shiny facilitates interactive performance assessment and comparison of quantitative PCR (qPCR)-based microRNA expression estimation methods using benchmark amplification-curve datasets.

Key Features:

• Interactive performance assessment: Evaluates performance of multiple qPCR-based microRNA expression estimation methods using raw amplification curves and a benchmark dataset.
• Methodological comparison and selection: Supports selection of estimation algorithms and specification of quality thresholds and enables direct comparison of novel expression-estimation algorithms against established methods.
• qPCR data quality assessment: Assesses qPCR data quality and methodological efficacy for microRNA quantification.

Scientific Applications:

• MicroRNA quantification benchmarking: Benchmarking and validation of microRNA expression estimation methods from qPCR amplification curves.
• Method development and validation: Comparison of novel expression-estimation algorithms against established methods to evaluate algorithmic accuracy.
• qPCR data quality control: Determination of quality thresholds and assessment of data quality to support reliable microRNA measurement by qPCR.

Methodology:

Users input raw qPCR amplification data which are processed against a benchmark dataset to assess and compare the performance of different microRNA expression-estimation methods based on their accuracy in estimating microRNA levels.