HTqPCR

Automated analysis of high-throughput qPCR data

Bioconductor version: Release (2.7)

Analysis of Ct values from quantitative real-time PCR (qPCR) assays. Data can be analyzed in high throughput across multiple conditions or replicates, and in spatially-defined formats such ABI TaqMan Low Density Arrays and conventional 96- or 384-well plates. HTqPCR handles data loading, quality assessment, normalization, visualization and parametric or non-parametric testing for statistical significance in Ct values between features (e.g. genes, microRNAs).

Author: Heidi Dvinge, Paul Bertone

Maintainer: Heidi Dvinge

To install this package, start R and enter:

source("http:///biocLite.R")
biocLite("HTqPCR")    

Documentation

PDF R Script qPCR analysis in R

Reference Manual

Details

biocViews MicrotitrePlateAssay, DifferentialExpression, GeneExpression, DataImport, QualityControl, Preprocessing, Bioinformatics, Visualization, MultipleComparisons
Depends Biobase, RColorBrewer, limma
Imports affy, Biobase, gplots, graphics, grDevices, limma, methods, RColorBrewer, stats, utils
Suggests statmod
System Requirements
License Artistic-2.0
URL http://www.ebi.ac.uk/bertone/software
Depends On Me
Imports Me
Suggests Me
Version 1.4.0

Package Downloads

Package Source HTqPCR_1.4.0.tar.gz
Windows Binary HTqPCR_1.4.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary HTqPCR_1.4.0.tgz
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