qPCR_run1


This is a dataset containg the raw data (Cq values) of the first qPCR run (the
 first biological replicate).


datasets

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.

Le Pape Sylvain

EasyqpcR

EasyqpcR for low-throughput real-time quantitative PCR data
analysis

qPCR_run1 function

A data frame with 15 observations on the following 5 variables.
  <dl>
    <dt><code>Samples</code></dt><dd>a factor with levels <code>Calibrator</code> <code>Control 1</code> <code>Control 2</code> <code>Treatment 1</code> <code>Treatment 2</code></dd> <dt><code>RG1</code></dt><dd>a numeric vector</dd> <dt><code>RG2</code></dt><dd>a numeric vector</dd> <dt><code>TG</code></dt><dd>a numeric vector</dd> <dt><code>TGb</code></dt><dd>a numeric vector</dd> </dl> 

Format

Source

This is a dataset containg the raw data (Cq values) of the first qPCR run (the
 first biological replicate).

qPCR_run1: Raw data from the first qPCR run.

Description

Usage

Arguments

Format

Source

Details

References

Examples