SurreyFBA: a command line tool and graphics user interface for constraint-based modeling of genome-scale metabolic reaction networks
Author(s) -
Albert Gevorgyan,
Michael E. Bushell,
Claudio AvigRossa,
Andrzej Kierzek
Publication year - 2010
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btq679
Subject(s) - computer science , solver , scripting language , visualization , interface (matter) , programming language , constraint programming , source code , graphics , constraint (computer aided design) , user interface , software , metabolic network , distributed computing , software engineering , data mining , operating system , bioinformatics , mechanical engineering , mathematics , bubble , maximum bubble pressure method , biology , stochastic programming , engineering , statistics
Constraint-based modeling of genome-scale metabolic networks has been successfully used in numerous applications such as prediction of gene essentiality and metabolic engineering. We present SurreyFBA, which provides constraint-based simulations and network map visualization in a free, stand-alone software. In addition to basic simulation protocols, the tool also implements the analysis of minimal substrate and product sets, which is useful for metabolic engineering and prediction of nutritional requirements in complex in vivo environments, but not available in other commonly used programs. The SurreyFBA is based on a command line interface to the GLPK solver distributed as binary and source code for the three major operating systems. The command line tool, implemented in C++, is easily executed within scripting languages used in the bioinformatics community and provides efficient implementation of tasks requiring iterative calls to the linear programming solver. SurreyFBA includes JyMet, a graphics user interface allowing spreadsheet-based model presentation, visualization of numerical results on metabolic networks represented in the Petri net convention, as well as in charts and plots.
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