To install this package, start R and enter:
## try http if https is not available source("https://bioconductor.org/biocLite.R") biocLite("ddCt")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 3.1
The Delta-Delta-Ct (ddCt) Algorithm is an approximation method to determine relative gene expression with quantitative real-time PCR (qRT-PCR) experiments. Compared to other approaches, it requires no standard curve for each primer-target pair, therefore reducing the working load and yet returning accurate enough results as long as the assumptions of the amplification efficiency hold. The ddCt package implements a pipeline to collect, analyse and visualize qRT-PCR results, for example those from TaqMan SDM software, mainly using the ddCt method. The pipeline can be either invoked by a script in command-line or through the API consisting of S4-Classes, methods and functions.
Author: Jitao David Zhang, Rudolf Biczok and Markus Ruschhaupt
Maintainer: Jitao David Zhang <jitao_david.zhang at roche.com>
Citation (from within R,
enter citation("ddCt")
):
To install this package, start R and enter:
## try http if https is not available source("https://bioconductor.org/biocLite.R") biocLite("ddCt")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("ddCt")
R Script | Analyse RT-PCR data with the end-to-end script in ddCt package | |
R Script | How to apply the ddCt method | |
R Script | Introduction to the ddCt method for qRT-PCR data analysis: background, algorithm and example | |
Reference Manual | ||
Text | NEWS |
biocViews | DifferentialExpression, GeneExpression, MicrotitrePlateAssay, Software, qPCR |
Version | 1.22.0 |
In Bioconductor since | BioC 2.5 (R-2.10) (6 years) |
License | LGPL-3 |
Depends | R (>= 2.3.0), Biobase(>= 1.10.0), RColorBrewer (>= 0.1-3), xtable, lattice, methods |
Imports | |
LinkingTo | |
Suggests | RUnit |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | ddCt_1.22.0.tar.gz |
Windows Binary | ddCt_1.22.0.zip |
Mac OS X 10.6 (Snow Leopard) | ddCt_1.22.0.tgz |
Mac OS X 10.9 (Mavericks) | ddCt_1.22.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/ddCt/tree/release-3.1 |
Package Short Url | http://bioconductor.org/packages/ddCt/ |
Package Downloads Report | Download Stats |
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