To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("HTqPCR")

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

HTqPCR

   

This package is for version 2.8 of Bioconductor; for the stable, up-to-date release version, see HTqPCR.

Automated analysis of high-throughput qPCR data

Bioconductor version: 2.8

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, 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:// URLs are not supported
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 HTqPCR.pdf
PDF   Reference Manual

Details

biocViews Bioinformatics, DataImport, DifferentialExpression, GeneExpression, MicrotitrePlateAssay, MultipleComparisons, Preprocessing, QualityControl, Software, Visualization
Version 1.6.0
In Bioconductor since BioC 2.5 (R-2.10) (6.5 years)
License Artistic-2.0
Depends Biobase, RColorBrewer, limma
Imports affy, Biobase, gplots, graphics, grDevices, limma, methods, RColorBrewer, stats, utils
LinkingTo
Suggests statmod
SystemRequirements
Enhances
URL http://www.ebi.ac.uk/bertone/software
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source HTqPCR_1.6.0.tar.gz
Windows Binary HTqPCR_1.6.0.zip
Mac OS X 10.6 (Snow Leopard)
Mac OS X 10.9 (Mavericks)
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/HTqPCR/tree/release-2.8
Package Short Url http://bioconductor.org/packages/HTqPCR/
Package Downloads Report Download Stats

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