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Mimoza: web-based semantic zooming and navigation in metabolic networks
Anna Zhukova1, David J Sherman2
1Inria/Université Bordeaux/CNRS joint project-team MAGNOME, 351, cours de la Libération, Talence, F-33405, France. anna.zhukova@inria.fr.
BMC Systems Biology
|April 19, 2015
Summary
Mimoza simplifies complex metabolic network models for researchers. This web-based system uses semantic zooming to reveal hidden patterns and improve understanding of genome-scale metabolic networks.
Area of Science:
- Systems Biology
- Bioinformatics
Background:
- Genome-scale metabolic models are complex and difficult for humans to interpret due to thousands of reactions.
- Hidden similarities and higher-level patterns within these models are often obscured.
Purpose of the Study:
- To develop a user-friendly system for exploring and analyzing complex metabolic network models.
- To enable researchers to grasp the overall structure and details of metabolic networks.
Main Methods:
- Developed Mimoza, a web-based navigation system for metabolic models.
- Implemented a semantically zoomable interface with multiple levels of detail.
- Utilized generalization-based layout to group similar metabolites and reactions.
Main Results:
- Mimoza allows exploration of metabolic networks from general compartments to detailed reaction layouts.
- The system facilitates a top-down analysis, enabling experts to understand network structure.
- Similar metabolites and reactions are visually grouped for easier interpretation.
Conclusions:
- Mimoza offers a novel approach to visualizing and analyzing complex metabolic models.
- The system is accessible online, can be installed standalone, or integrated into Galaxy workflows.
- Mimoza views are embeddable and downloadable as COMBINE archives.
