English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Measurement of genome-wide RNA synthesis and decay rates with Dynamic Transcriptome Analysis (DTA)

Schwalb, B., Schulz, D., Sun, M., Zacher, B., Dümcke, S., Martin, D. E., et al. (2012). Measurement of genome-wide RNA synthesis and decay rates with Dynamic Transcriptome Analysis (DTA). Bioinformatics, 28(6), 884-885. doi:10.1093/bioinformatics/bts052.

Item is

Files

show Files
hide Files
:
1936065.pdf (Publisher version), 208KB
Name:
1936065.pdf
Description:
-
OA-Status:
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show
hide
Description:
-
OA-Status:

Creators

show
hide
 Creators:
Schwalb, B., Author
Schulz, D., Author
Sun, M., Author
Zacher, B., Author
Dümcke, S., Author
Martin, D. E., Author
Cramer, P.1, Author           
Tresch, A., Author
Affiliations:
1Department of Molecular Biology, MPI for Biophysical Chemistry, Max Planck Society, ou_1863498              

Content

show
hide
Free keywords: -
 Abstract: Standard transcriptomics measures total cellular RNA levels. Our understanding of gene regulation would be greatly improved if we could measure RNA synthesis and decay rates on a genome-wide level. To that end, the Dynamic Transcriptome Analysis (DTA) method has been developed. DTA combines metabolic RNA labeling with standard transcriptomics to measure RNA synthesis and decay rates in a precise and non-perturbing manner. Here, we present the open source R/Bioconductor software package DTA. It implements all required bioinformatics steps that allow the accurate absolute quantification and comparison of RNA turnover.

Details

show
hide
Language(s): eng - English
 Dates: 2012-01-28
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1093/bioinformatics/bts052
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Bioinformatics
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 28 (6) Sequence Number: - Start / End Page: 884 - 885 Identifier: -