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A Web Tool for Generating High Quality Machine-readable Biological Pathways
Published on: February 8, 2017
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IMFLer: A Web Application for Interactive Metabolic Flux Analysis and Visualization.
Rudolfs Petrovs1, Egils Stalidzans1,2, Agris Pentjuss1
1Computational Systems Biology Group, Institute of Microbiology and Biotechnology, University of Latvia, Riga, Latvia.
Summary
IMFLer is a new, open-source web tool for visualizing metabolic flux analysis (FBA) and flux variability analysis (FVA) results. It offers a user-friendly interface for rapid interpretation of genome-scale metabolic models without programming skills.
Area of Science:
- Systems Biology
- Computational Biology
- Bioinformatics
Background:
- Genome-wide data is rapidly increasing in biological sciences and medicine.
- Existing visualization tools for metabolic analysis often rely on proprietary, restrictive third-party software.
- Integration of flux balance analysis (FBA) is common but frequently lacks customization and interoperability.
Purpose of the Study:
- To introduce IMFLer, an interactive metabolic flux analyzer and visualizer.
- To provide a user-friendly, open-source web application for metabolic model analysis.
- To facilitate rapid interpretation of FBA and flux variability analysis (FVA) results.
Main Methods:
- Developed IMFLer as a static single-page web application.
- Integrated the Escher Builder tool for metabolic pathway map management (loading, editing, saving).
- Enabled immediate visualization of FBA and FVA results using standardized file formats.
Main Results:
- IMFLer provides a user-friendly interface for metabolic model visualization.
- The tool allows for rapid interpretation of FBA and FVA outcomes.
- It enhances data interoperability through standardized model file formats.
Conclusions:
- IMFLer is an open-source, easily applicable tool for visualizing metabolic flux analysis.
- It requires no programming skills and minimal setup time.
- The application improves the accessibility and interpretation of complex biological data.
Keywords:
cellular metabolismflux balance analysisflux variability analysisgenome-scale metabolic modelsnetwork visualizationMore Related Videos
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