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.
Bioconductor version: 2.13
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")
):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("DTA")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("DTA")
R Script | A guide to Dynamic Transcriptome Analysis (DTA) | |
Reference Manual |
biocViews | DifferentialExpression, GeneExpression, Microarray, Software, Transcription |
Version | 2.8.0 |
In Bioconductor since | BioC 2.9 (R-2.14) |
License | Artistic-2.0 |
Depends | R (>= 2.10), LSD |
Imports | scatterplot3d |
Suggests | |
System Requirements | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me |
Follow Installation instructions to use this package in your R session.
Package Source | DTA_2.8.0.tar.gz |
Windows Binary | DTA_2.8.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | DTA_2.8.0.tgz |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
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