To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("DTA")

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

DTA

 

Dynamic Transcriptome Analysis

Bioconductor version: Release (3.1)

Dynamic Transcriptome Analysis (DTA) can monitor the cellular response to perturbations with higher sensitivity and temporal resolution than standard transcriptomics. The package implements the underlying kinetic modeling approach capable of the precise determination of synthesis- and decay rates from individual microarray or RNAseq measurements.

Author: Bjoern Schwalb, Benedikt Zacher, Sebastian Duemcke, Achim Tresch

Maintainer: Bjoern Schwalb <schwalb at lmb.uni-muenchen.de>

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

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("DTA")

Documentation

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

browseVignettes("DTA")

 

PDF R Script A guide to Dynamic Transcriptome Analysis (DTA)
PDF   Reference Manual

Details

biocViews DifferentialExpression, GeneExpression, Microarray, Software, Transcription
Version 2.14.0
In Bioconductor since BioC 2.9 (R-2.14) (4 years)
License Artistic-2.0
Depends R (>= 2.10), LSD
Imports scatterplot3d
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source DTA_2.14.0.tar.gz
Windows Binary DTA_2.14.0.zip
Mac OS X 10.6 (Snow Leopard) DTA_2.14.0.tgz
Mac OS X 10.9 (Mavericks) DTA_2.14.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/DTA/tree/release-3.1
Package Short Url http://bioconductor.org/packages/DTA/
Package Downloads Report Download Stats

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