MetaboMAPS
MetaboMAPS visualizes numerical experimental data on metabolic pathway maps to contextualize metabolites, enzymes, and regulators within metabolic networks.
Key Features:
- SVG format support: Stores, distributes, and allows downloading of metabolic maps in SVG format for scalable, high-fidelity pathway representations.
- Customizable visualization: Plots user-provided numerical datasets directly onto pathway maps to map experimental results to pathway components.
- Plot box editor: Defines and modifies plot boxes on pathway maps and assigns identifiers to link data regions to specific metabolites or reactions.
- Flexible pathway sharing: Supports sharing of pathway maps without enforcing strict conventions, accommodating individualized or noncanonical pathway representations.
- Support for custom pathways: Accepts and visualizes user-defined pathways beyond established pathway databases or standard annotations.
Scientific Applications:
- Systems biology: Contextualizes experimental measurements within metabolic networks to aid analysis of metabolic interactions and regulation.
- Multi-omics integration: Maps quantitative data from diverse omics layers onto pathways to facilitate combined interpretation of metabolomics, proteomics, or transcriptomics data.
- Novel pathway analysis and dissemination: Enables visualization and sharing of individualized or less-characterized pathways for dissemination of new metabolic findings.
Methodology:
Uses SVG-format pathway maps for storage and download, plots numerical datasets onto maps, and employs a plot box editor to add or modify visualization regions and assign identifiers.
Topics
Details
- License:
- GPL-3.0
- Tool Type:
- library, web application
- Programming Languages:
- JavaScript
- Added:
- 1/18/2021
- Last Updated:
- 1/23/2025
Operations
Data Inputs & Outputs
Box-Whisker plot plotting
Inputs
Publications
Koblitz J, Schomburg D, Neumann-Schaal M. MetaboMAPS: Pathway sharing and multi-omics data visualization in metabolic context. F1000Research. 2020;9:288. doi:10.12688/f1000research.23427.1. PMID:32765840. PMCID:PMC7383707.