ReadqPCR

The "ReadqPCR" and "NormqPCR" R packages represent a comprehensive solution for analyzing real-time reverse transcription polymerase chain reaction (RT-qPCR) data, a fundamental aspect of molecular biology research. These tools address the crucial step of selecting optimal reference genes for data normalization, a common challenge in analyzing RT-qPCR data, which involves simultaneously measuring the abundance of multiple transcripts.

The ReadqPCR package facilitates the importation of RT-qPCR data into R, storing it in an ExpressionSet-compatible object conducive to high-throughput data analysis. NormqPCR complements this by offering robust reference gene selection and data normalization methods, utilizing the optimal reference genes identified.

Together, these packages provide a workflow for analyzing RT-qPCR experiments from data importation to normalization and differential expression analysis. This workflow is illustrated through a generic RT-qPCR experiment and applied to a real dataset, showcasing the practical utility of these tools.