%0 Journal Article
%T ReadqPCR and NormqPCR: R packages for the reading, quality checking and normalisation of RT-qPCR quantification cycle (Cq) data
%A James R Perkins
%A John M Dawes
%A Steve B McMahon
%A David LH Bennett
%A Christine Orengo
%A Matthias Kohl
%J BMC Genomics
%D 2012
%I BioMed Central
%R 10.1186/1471-2164-13-296
%X We have developed two R/Bioconductor packages, ReadqPCR and NormqPCR, intended for a user with some experience with high-throughput data analysis using R, who wishes to use R to analyse RT-qPCR data. We illustrate their potential use in a workflow analysing a generic RT-qPCR experiment, and apply this to a real dataset. Packages are available from http://www.bioconductor.org/packages/release/bioc/html/ReadqPCR.html webciteand http://www.bioconductor.org/packages/release/bioc/html/NormqPCR.html webciteThese packages increase the repetoire of RT-qPCR analysis tools available to the R user and allow them to (amongst other things) read their data into R, hold it in an ExpressionSet compatible R object, choose appropriate reference genes, normalise the data and look for differential expression between samples.
%U http://www.biomedcentral.com/1471-2164/13/296/abstract