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INCA: a computational platform for isotopically non-stationary metabolic flux analysis
Open accessAbstract
Summary: 13C flux analysis studies have become an essential component of metabolic engineering research. The scope of these studies has gradually expanded to include both isotopically steady-state and transient labeling experiments, the latter of which are uniquely applicable to photosynthetic organisms and slow-to-label mammalian cell cultures. Isotopomer network compartmental analysis (INCA) is the first publicly available software package that can perform both steady-state metabolic flux analysis and isotopically non-stationary metabolic flux analysis. The software provides a framework for comprehensive analysis of metabolic networks using mass balances and elementary metabolite unit balances. The generation of balance equations and their computational solution is completely automated and can be performed on networks of arbitrary complexity. Availability and implementation: MATLAB p-code files are freely available for non-commercial use and can be downloaded at http://mfa.vueinnovations.com. Commercial licenses are also available. Contact: j.d.young@vanderbilt.edu
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Cited by
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Lewis, C. A., Parker, S. J., Fiske, B. P., McCloskey, D., Gui, D. Y., Green, C. R., Vokes, N. I., Feist, A. M., Vander Heiden, M. G., & Metallo, C. M. (2014) · Molecular Cell · doi:10.1016/j.molcel.2014.05.008 · Cited by 562
Reductive carboxylation supports redox homeostasis during anchorage-independent growth
Jiang, L., Shestov, A. A., Swain, P., Yang, C., Parker, S. J., Wang, Q. A., Terada, L. S., Adams, N. D., McCabe, M. T., Pietrak, B., et al. (2016) · Nature · doi:10.1038/nature17393 · Cited by 582
Du, D., Tan, L., Wang, Y., Peng, B., Weinstein, J. N., Wondisford, F. E., Su, X., & Lorenzi, P. L. (2019) · BMC Bioinformatics · doi:10.1186/s12859-019-2669-9 · Cited by 549
Branched-chain amino acid catabolism fuels adipocyte differentiation and lipogenesis
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Metadata
- Authors
- Young, J. D.
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2014-01-11
- Volume
- 30
- Issue
- 9
- Pages
- 1333-1335
- ISSN
- 1367-4803 (ISSN-L)
- 1367-4811
- OpenAlex
- W2134138595
- Cited by
- 395
- References
- 0
- FWCI
- 10.10
- Type
- journal article
- Language
- en
- Open access
- bronze
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