To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("HTqPCR")

In most cases, you don't need to download the package archive at all.

HTqPCR

 

Automated analysis of high-throughput qPCR data

Bioconductor version: Release (3.1)

Analysis of Ct values from high throughput quantitative real-time PCR (qPCR) assays across multiple conditions or replicates. The input data can be from spatially-defined formats such ABI TaqMan Low Density Arrays or OpenArray; LightCycler from Roche Applied Science; the CFX plates from Bio-Rad Laboratories; conventional 96- or 384-well plates; or microfluidic devices such as the Dynamic Arrays from Fluidigm Corporation. 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 <heidi at ebi.ac.uk>

Citation (from within R, enter citation("HTqPCR")):

Installation

To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("HTqPCR")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("HTqPCR")

 

PDF R Script qPCR analysis in R
PDF   Reference Manual
Text   NEWS

Details

biocViews DataImport, DifferentialExpression, GeneExpression, MicrotitrePlateAssay, MultipleComparison, Preprocessing, QualityControl, Software, Visualization, qPCR
Version 1.22.0
In Bioconductor since BioC 2.5 (R-2.10) (6 years)
License Artistic-2.0
Depends Biobase, RColorBrewer, limma
Imports affy, Biobase, gplots, graphics, grDevices, limma, methods, RColorBrewer, stats, stats4, utils
LinkingTo
Suggests statmod
SystemRequirements
Enhances
URL http://www.ebi.ac.uk/bertone/software
Depends On Me
Imports Me nondetects, unifiedWMWqPCR
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source HTqPCR_1.22.0.tar.gz
Windows Binary HTqPCR_1.22.0.zip
Mac OS X 10.6 (Snow Leopard) HTqPCR_1.22.0.tgz
Mac OS X 10.9 (Mavericks) HTqPCR_1.22.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/HTqPCR/tree/release-3.1
Package Short Url http://bioconductor.org/packages/HTqPCR/
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations:

Fred Hutchinson Cancer Research Center