![]() ![]() Results Using two datasets from qPCR experiments, we applied different quality assessment, analysis and statistical testing in the pcr package and compared the results to the original published articles. Finally, two-group testing and linear models were used to test for significance of the difference in expression control groups and conditions of interest. In addition, calculation of amplification efficiency and curves from serial dilution qPCR experiments are used to assess the quality of the data. Double Delta CT and standard curve models were implemented to quantify the relative expression of target genes from CT in standard qPCR control-group experiments. Methods We developed an R package to implement methods for quality assessment, analysis and testing qPCR data for statistical significance. Currently, few different analysis models are used to determine the quality of data and to quantify the mRNA level across the experimental conditions. ![]() Pcr: an R package for quality assessment, analysis and testing of qPCR dataīackground Real-time quantitative PCR ( qPCR) is a broadly used technique in the biomedical research.
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