Miller2011


R object contains all relevant *.RData files needed for the <code>DTA.estimate</code> function. For example, see vignette.


datasets

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.

Bjoern Schwalb

Dynamic Transcriptome Analysis

Miller2011 function

R object contains the following *.RData files:
<code>Sc.phenomat</code>
<code>Sc.datamat</code>
<code>Sc.reliable</code>
<code>Sc.tnumber</code>

Format

C. Miller, B. Schwalb, K. Maier, D. Schulz, S. Duemcke, B. Zacher, A. Mayer, J. Sydow, L. Marcinowski, L. Doelken, D. E. Martin, A. Tresch, and P. Cramer. Dynamic transcriptome analysis measures rates of mRNA synthesis and decay in yeast. Mol Syst Biol, 7:458, 2011.
E. Birney, D. Andrews, M. Caccamo, Y. Chen, L. Clarke, G. Coates, T. Cox, F. Cunningham, V. Curwen, T. Cutts, T. Down, R. Durbin, X. M. Fernandez-Suarez, P. Flicek, S. Graef, M. Hammond, J. Herrero, K. Howe, V. Iyer, K. Jekosch, A. Kaehaeri, A. Kasprzyk, D. Keefe, F. Kokocinski, E. Kulesha, D. London, I. Longden, C. Melsopp, P. Meidl, B. Overduin, A. Parker, G. Proctor, A. Prlic, M. Rae, D. Rios, S. Redmond, M. Schuster, I. Sealy, S. Searle, J. Severin, G. Slater, D. Smedley, J. Smith, A. Stabenau, J. Stalker, S. Trevanion, A. Ureta-
Vidal, J. Vogel, S. White, C.Woodwark, and T. J. Hubbard. Ensembl 2006. Nucleic acids research, 34(Database issue), January 2006.

Source

R object contains all relevant *.RData files needed for the <code>DTA.estimate</code> function. For example, see vignette.

Miller2011: Saccharomyces Cerevisiae wild-type DTA experiment from Miller et al.

Description

Usage

Arguments

Format

Source