FAME

BACKGROUND: The creation and modification of genome-scale metabolic models is a
task that requires specialized software tools. While these are available,
subsequently running or visualizing a model often relies on disjoint code, which
adds additional actions to the analysis routine and, in our experience, renders
these applications suboptimal for routine use by (systems) biologists. RESULTS:
The Flux Analysis and Modeling Environment (FAME) is the first web-based modeling
tool that combines the tasks of creating, editing, running, and
analyzing/visualizing stoichiometric models into a single program. Analysis
results can be automatically superimposed on familiar KEGG-like maps. FAME is
written in PHP and uses the Python-based PySCeS-CBM for its linear solving
capabilities. It comes with a comprehensive manual and a quick-start tutorial,
and can be accessed online at http://f-a-m-e.org/. CONCLUSIONS: With FAME, we
present the community with an open source, user-friendly, web-based "one stop
shop" for stoichiometric modeling. We expect the application will be of
substantial use to investigators and educators alike.

FAME, the Flux Analysis and Modeling Environment.

FAME (The Flux Analysis and Modeling Environment) is a software tool for analyzing and visualizing metabolic stoichiometric models.

FAME

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