DTA

DOI: 10.18129/B9.bioc.DTA    

Dynamic Transcriptome Analysis

Bioconductor version: Release (3.6)

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>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://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	2.24.0
In Bioconductor since	BioC 2.9 (R-2.14) (6.5 years)
License	Artistic-2.0
Depends	R (>= 2.10), LSD
Imports	scatterplot3d
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Package Archives

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

Source Package	DTA_2.24.0.tar.gz
Windows Binary	DTA_2.24.0.zip
Mac OS X 10.11 (El Capitan)	DTA_2.24.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/DTA
Package Short Url	http://bioconductor.org/packages/DTA/
Package Downloads Report	Download Stats