Gene_maximisation: A data frame containing all the data from four different qPCR...

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

Description

A data frame containing all the data from four different qPCR runs where samples and genes are spread accross runs.

Usage

data(Gene_maximisation)

Format

A data frame with 192 observations on the following 4 variables.

Samples

a factor with levels IRC 1.1 IRC 1.2 IRC 1.3 IRC 1.4 IRC 1.5 IRC 1.6 IRC 1.7 IRC 1.8 IRC 2.1 IRC 2.2 IRC 2.3 IRC 2.4 IRC 2.5 IRC 2.6 IRC 2.7 IRC 2.8 IRC 3.1 IRC 3.2 IRC 3.3 IRC 3.4 IRC 3.5 IRC 3.6 IRC 3.7 IRC 3.8 NTC 1 NTC 2 NTC 3 NTC 4 NTC 5 NTC 6 NTC 7 NTC 8 Sample 1 Sample 10 Sample 11 Sample 12 Sample 13 Sample 14 Sample 15 Sample 16 Sample 17 Sample 18 Sample 19 Sample 2 Sample 20 Sample 21 Sample 22 Sample 23 Sample 24 Sample 25 Sample 26 Sample 27 Sample 28 Sample 29 Sample 3 Sample 30 Sample 31 Sample 32 Sample 4 Sample 5 Sample 6 Sample 7 Sample 8 Sample 9

RG1

a numeric vector

RG2

a numeric vector

TG

a numeric vector

Details

This data frame is composed by 64 samples including IRCs (3 per gene), NTC (1 per gene). The control samples are Samples 1 to 16, and the test samples are Samples 17 to 32. There are 2 reference genes (RG1, RG2) and one target gene (TG).

Source

S. Le Pape, IRTOMIT-INSERM U1082.

References

S. Le Pape, IRTOMIT-INSERM U1082.

Examples

data(Gene_maximisation)

EasyqpcR documentation built on Nov. 8, 2020, 5:36 p.m.