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Dynamic Transcriptome Analysis

Bioconductor version: Release (3.19)

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>

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


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


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

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


biocViews DifferentialExpression, GeneExpression, Microarray, Software, Transcription
Version 2.50.0
In Bioconductor since BioC 2.9 (R-2.14) (12.5 years)
License Artistic-2.0
Depends R (>= 2.10), LSD
Imports scatterplot3d
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Follow Installation instructions to use this package in your R session.

Source Package DTA_2.50.0.tar.gz
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macOS Binary (x86_64) DTA_2.50.0.tgz
macOS Binary (arm64) DTA_2.50.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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