Learn R Programming

NormqPCR (version 1.18.0)

NormqPCR-package: Functions for normalisation of RT-qPCR data.

Description

Functions for normalisation of real-time quantitative PCR data.

Arguments

Details

Package:
NormqPCR
Type:
Package
Version:
1.7.1
Date:
2014-08-13
Depends:
R(>= 2.14.0), stats, RColorBrewer, Biobase, methods, ReadqPCR, qpcR
Imports:
ReadqPCR
biocViews:
MicrotitrePlateAssay, GeneExpression, qPCR
License:
LGPL-3
LazyLoad:
yes
LazyData:
yes
require(NormqPCR)

References

Perkins, JR, Dawes, JM, McMahon, SB, Bennett, DL, Orengo, C, Kohl, M (2012). ReadqPCR and NormqPCR: R packages for the reading, quality checking and normalisation of RT-qPCR quantification cycle (Cq) data. BMC Genomics, 13, 1:296.

Jo Vandesompele, Katleen De Preter, Filip Pattyn et al. (2002). Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biology 2002. 3(7):research0034.1-0034.11. http://genomebiology.com/2002/3/7/research/0034/ Claus Lindbjerg Andersen, Jens Ledet Jensen and Torben Falck Orntoft (2004). Normalization of Real-Time Quantitative Reverse Transcription-PCR Data: A Model-Based Variance Estimation Approach to Identify Genes Suited for Normalization, Applied to Bladder and Colon Cancer Data Sets. CANCER RESEARCH 64, 5245-5250, August 1, 2004. http://cancerres.aacrjournals.org/cgi/content/full/64/15/5245

Kenneth Livak, Thomase Schmittgen (2001). Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2^ddCt Method. Methods 25, 402-408, 2001 http://www.ncbi.nlm.nih.gov/pubmed/11846609

Examples

Run this code
## some examples are given in the vignette
## Not run: 
# library(NormqPCR)
# vignette("NormqPCR")
# ## End(Not run)

Run the code above in your browser using DataLab