Reference : Computationally efficient flux variability analysis
Scientific journals : Article
Life sciences : Multidisciplinary, general & others
http://hdl.handle.net/10993/16519
Computationally efficient flux variability analysis
English
Gudmundsson, Steinn [> >]
Thiele, Ines mailto []
2010
BMC Bioinformatics
11
489
Yes (verified by ORBilu)
1471-2105
England
[en] Computer Simulation ; Metabolic Networks and Pathways ; Systems Biology/methods
[en] BACKGROUND: Flux variability analysis is often used to determine robustness of metabolic models in various simulation conditions. However, its use has been somehow limited by the long computation time compared to other constraint-based modeling methods. RESULTS: We present an open source implementation of flux variability analysis called fastFVA. This efficient implementation makes large-scale flux variability analysis feasible and tractable allowing more complex biological questions regarding network flexibility and robustness to be addressed. CONCLUSIONS: Networks involving thousands of biochemical reactions can be analyzed within seconds, greatly expanding the utility of flux variability analysis in systems biology.
http://hdl.handle.net/10993/16519
10.1186/1471-2105-11-489

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