This package is based on the qBase algorithms published by Hellemans et al. in 2007. The EasyqpcR package allows you to import easily qPCR data files as described in the vignette. Thereafter, you can calculate amplification efficiencies, relative quantities and their standard errors, normalization factors based on the best reference genes choosen (using the SLqPCR package), and then the normalized relative quantities, the NRQs scaled to your control and their standard errors. This package has been created for low-throughput qPCR data analysis.
|Author||Le Pape Sylvain|
|Date of publication||None|
|Maintainer||Le Pape Sylvain <firstname.lastname@example.org>|
badCt: Evaluation of the qPCR technical replicates
calData: Calculation of calibration factors
EasyqpcR-package: Functions to analyse real-time quantitative PCR data at...
Efficiency_calculation: Raw data for primer amplification efficiency calculation.
Gene_maximisation: A data frame containing all the data from four different qPCR...
Gene_maximisation_cor: A data frame containing all the data from four different qPCR...
nrmData: Determination of the NF, RQ, NRQ, NRQ scaled to control and...
qPCR_run1: Raw data from the first qPCR run.
qPCR_run2: Raw data from the second qPCR run.
qPCR_run3: Raw data from the third qPCR run.
slope: Function to calculate the amplification efficiency
totData: Aggregation of qPCR biological replicates and data...