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. 2014 May 1;30(9):1333-5.
doi: 10.1093/bioinformatics/btu015. Epub 2014 Jan 11.

INCA: a computational platform for isotopically non-stationary metabolic flux analysis

Jamey D Young  1
Affiliations

INCA: a computational platform for isotopically non-stationary metabolic flux analysis

Jamey D Young. Bioinformatics. .

Abstract

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.

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Figures

Fig. 1.
Fig. 1.
Steps in the INCA analysis workflow
See this image and copyright information in PMC

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