This package is for version 3.13 of Bioconductor; for the stable, up-to-date release version, see ddCt.
Bioconductor version: 3.13
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 (version "4.1") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("ddCt")
For older versions of R, please refer to the appropriate Bioconductor release.
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 |
biocViews | DifferentialExpression, GeneExpression, MicrotitrePlateAssay, Software, qPCR |
Version | 1.48.0 |
In Bioconductor since | BioC 2.5 (R-2.10) (12 years) |
License | LGPL-3 |
Depends | R (>= 2.3.0), methods |
Imports | Biobase(>= 1.10.0), RColorBrewer (>= 0.1-3), xtable, lattice, BiocGenerics |
LinkingTo | |
Suggests | RUnit |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
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Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | ddCt_1.48.0.tar.gz |
Windows Binary | ddCt_1.48.0.zip |
macOS 10.13 (High Sierra) | ddCt_1.48.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/ddCt |
Source Repository (Developer Access) | git clone [email protected]:packages/ddCt |
Package Short Url | https://bioconductor.org/packages/ddCt/ |
Package Downloads Report | Download Stats |
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