Escher-FBA: a web application for interactive flux balance analysis |
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Authors: | Elliot Rowe Bernhard O. Palsson |
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Affiliation: | 1.Department of Bioengineering,University of California,La Jolla,USA;2.Bioinformatics and Systems Biology Program,University of California,La Jolla,USA;3.Department of Pediatrics,University of California,La Jolla,USA;4.Novo Nordisk Foundation Center for Biosustainability,Technical University of Denmark,Lyngby,Denmark |
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Abstract: | BackgroundFlux balance analysis (FBA) is a widely-used method for analyzing metabolic networks. However, most existing tools that implement FBA require downloading software and writing code. Furthermore, FBA generates predictions for metabolic networks with thousands of components, so meaningful changes in FBA solutions can be difficult to identify. These challenges make it difficult for beginners to learn how FBA works.ResultsTo meet this need, we present Escher-FBA, a web application for interactive FBA simulations within a pathway visualization. Escher-FBA allows users to set flux bounds, knock out reactions, change objective functions, upload metabolic models, and generate high-quality figures without downloading software or writing code. We provide detailed instructions on how to use Escher-FBA to replicate several FBA simulations that generate real scientific hypotheses.ConclusionsWe designed Escher-FBA to be as intuitive as possible so that users can quickly and easily understand the core concepts of FBA. The web application can be accessed at https://sbrg.github.io/escher-fba. |
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