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DTA

This is the development version of DTA; for the stable release version, see DTA.

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3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0, 2.14, 2.13, 2.12, 2.11, 2.10, 2.9

Dynamic Transcriptome Analysis

DOI: 10.18129/B9.bioc.DTA

Bioconductor version: Development (3.24)

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")):

Bjoern Schwalb, Benedikt Zacher, Sebastian Duemcke, Achim Tresch. DTA: Dynamic Transcriptome Analysis. doi:10.18129/B9.bioc.DTA, R package version 2.59.0, https://bioconductor.org/packages/DTA.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

## The following initializes the development version of Bioconductor
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")

Details

Package Archives

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