Article (Scientific journals)
A Guide to Integrating Transcriptional Regulatory and Metabolic Networks Using PROM (Probabilistic Regulation of Metabolism)
Simeonidis, Evangelos; Chandrasekaran, Sriram; Price, Nathan D.
2013In Methods in Molecular Biology, 985, p. 103-112
Peer reviewed
 

Files


Full Text
Simeonidis et al. - 2013 - A Guide to Integrating Transcriptional Regulatory .pdf
Publisher postprint (156.8 kB)
Download

The original publication is available at www.springerlink.com


All documents in ORBilu are protected by a user license.

Send to



Details



Keywords :
Systems biology; Metabolic networks; Transcriptional regulatory networks; Constraint-based modeling; Probabilistic regulation of metabolism; Microarray data
Abstract :
[en] The integration of transcriptional regulatory and metabolic networks is a crucial step in the process of predicting metabolic behaviors that emerge from either genetic or environmental changes. Here, we present a guide to PROM (probabilistic regulation of metabolism), an automated method for the construction and simulation of integrated metabolic and transcriptional regulatory networks that enables large-scale phenotypic predictions for a wide range of model organisms.
Research center :
Luxembourg Centre for Systems Biomedicine (LCSB): Experimental Neurobiology (Balling Group)
Disciplines :
Life sciences: Multidisciplinary, general & others
Identifiers :
UNILU:UL-ARTICLE-2013-138
Author, co-author :
Simeonidis, Evangelos ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
Chandrasekaran, Sriram;  Institute for Systems Biology - ISB
Price, Nathan D.;  Institute for Systems Biology - ISB
External co-authors :
yes
Language :
English
Title :
A Guide to Integrating Transcriptional Regulatory and Metabolic Networks Using PROM (Probabilistic Regulation of Metabolism)
Publication date :
2013
Journal title :
Methods in Molecular Biology
ISSN :
1064-3745
Special issue title :
Systems Metabolic Engineering
Volume :
985
Pages :
103-112
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 24 June 2013

Statistics


Number of views
96 (4 by Unilu)
Number of downloads
247 (2 by Unilu)

Scopus citations®
 
11
Scopus citations®
without self-citations
8
OpenCitations
 
12

Bibliography


Similar publications



Contact ORBilu