DTA
This is the development version of DTA; for the stable release version, see DTA.
Dynamic Transcriptome Analysis
Bioconductor version: Development (3.18)
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("DTA")
):
Installation
To install this package, start R (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("DTA")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("DTA")
A guide to Dynamic Transcriptome Analysis (DTA) | R Script | |
Reference Manual |
Details
biocViews | DifferentialExpression, GeneExpression, Microarray, Software, Transcription |
Version | 2.47.0 |
In Bioconductor since | BioC 2.9 (R-2.14) (12 years) |
License | Artistic-2.0 |
Depends | R (>= 2.10), LSD |
Imports | scatterplot3d |
Linking To | |
Suggests | |
System Requirements | |
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URL |
See More
Depends On Me | |
Imports Me | rifiComparative |
Suggests Me | |
Links To Me | |
Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | DTA_2.47.0.tar.gz |
Windows Binary | DTA_2.47.0.zip (64-bit only) |
macOS Binary (x86_64) | DTA_2.47.0.tgz |
macOS Binary (arm64) | DTA_2.47.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/DTA |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/DTA |
Bioc Package Browser | https://code.bioconductor.org/browse/DTA/ |
Package Short Url | https://bioconductor.org/packages/DTA/ |
Package Downloads Report | Download Stats |