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
Package Downloads Report	Download Stats