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>
Citation (from within R,
enter citation("DTA")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://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 | 2.24.0 |
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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Build Report |
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 |
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