DTA
Dynamic Transcriptome Analysis
Bioconductor version: 2.10
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>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("DTA")
To cite this package in a publication, start R and enter:
citation("DTA")
Documentation
| R Script | A guide to Dynamic Transcriptome Analysis (DTA) | |
| Reference Manual |
Details
| biocViews | DifferentialExpression, GeneExpression, Microarray, Software, Transcription |
| Depends | R (>= 2.10), LSD |
| Imports | scatterplot3d |
| Suggests | |
| System Requirements | |
| License | Artistic-2.0 |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Version | 2.2.0 |
| Since | Bioconductor 2.9 (R-2.14) |
Package Downloads
| Package Source | DTA_2.2.0.tar.gz |
| Windows Binary | DTA_2.2.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | DTA_2.2.0.tgz |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Annotation
- Variants
- Flow Cytometry and other assays
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