English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  FluxAnalyzer : exploring structure, pathways, and flux distributions in metabolic networks on interactive flux maps

Klamt, S., Stelling, J., Ginkel, M., & Gilles, E. D. (2003). FluxAnalyzer: exploring structure, pathways, and flux distributions in metabolic networks on interactive flux maps. Bioinformatics, 19(2), 261-269. doi:10.1093/bioinformatics/19.2.261.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-9F7D-5 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0027-AE0D-6
Genre: Journal Article
Alternative Title : Bioinformatics

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Klamt, S.1, Author              
Stelling, J.1, Author              
Ginkel, Martin1, Author              
Gilles, E. D.1, Author              
Affiliations:
1Systems Biology, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738155              

Content

show
hide
Free keywords: -
 Abstract: Motivation: The analysis of structure, pathways and flux distributions in metabolic networks has become an important approach for understanding the functionality of metabolic systems. The need of a user-friendly platform for stoichiometric modeling of metabolic networks in silico is evident. Results: The FluxAnalyzer is a package for MATLAB(R) and facilitates integrated pathway and flux analysis for metabolic networks within a graphical user interface. Arbitrary metabolic network models can be composed by instances of four types of network elements. The abstract network model is linked with network graphics leading to interactive flux maps which allow for user input and display of calculation results within a network visualization. Therein, a large and powerful collection of tools and algorithms can be applied interactively including metabolic flux analysis, flux optimization, detection of topological features and pathway analysis by elementary flux modes or extreme pathways. The FluxAnalyzer has been applied and tested for complex networks with more than 500 000 elementary modes. Some aspects of the combinatorial complexity of pathway analysis in metabolic networks are discussed. Copyright © 2013 Oxford University Press [accessed 2013 June 13th]

Details

show
hide
Language(s): eng - English
 Dates: 2003
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1093/bioinformatics/19.2.261
eDoc: 13806
Other: 16/03
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Bioinformatics
  Alternative Title : Bioinformatics
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 19 (2) Sequence Number: - Start / End Page: 261 - 269 Identifier: ISSN: 1367-4803