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Related Experiment Video

Updated: Feb 21, 2026

A Web Tool for Generating High Quality Machine-readable Biological Pathways

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

MetExploreViz: web component for interactive metabolic network visualization.

Maxime Chazalviel^1,2, Clément Frainay¹, Nathalie Poupin¹

¹Toxalim, Université de Toulouse, INRA, Université de Toulouse 3 Paul Sabatier, Toulouse, France.

Bioinformatics (Oxford, England)

|October 3, 2017

Summary

MetExploreViz is an open-source web tool for visualizing metabolic networks and pathways. This flexible component aids in analyzing omics data within a biochemical context, enhancing biological interpretation.

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Area of Science:

Biochemistry
Bioinformatics
Systems Biology

Background:

Metabolic networks and pathways are crucial for understanding cellular functions.
Analyzing omics data requires contextualization within biochemical pathways.
Existing visualization tools may lack flexibility or ease of integration.

Purpose of the Study:

To introduce MetExploreViz, an open-source web component for metabolic network visualization.
To provide a flexible solution for analyzing omics data in a biochemical context.

Main Methods:

Development of a web component for metabolic network visualization.
Integration capabilities for embedding into existing websites.

Main Results:

MetExploreViz offers dedicated features for visualizing metabolic networks.
The component is easily embeddable in any web environment.

Conclusions:

MetExploreViz provides a flexible and accessible solution for omics data analysis.
It enhances the interpretation of biological data by visualizing it within metabolic pathways.