Visualization and reporting

Graphia

Graph exploration and correlation-network analysis for processed MS metabolomics tables and existing networks.

Platform-independentDesktop graphical interfaceOpen source

Overview

Graphia imports graphs or builds correlation networks from numerical tables, with clustering and interactive 2D or 3D views. It is a general visual-analysis environment included here for downstream MS metabolomics, rather than a mass-spectrometry processing engine.

What can this tool do?

Network visualizationInteractive dashboard

Common uses

  • Explore feature-correlation networks after preprocessing.
  • Cluster and compare annotated graph components.

Scientific fit

Primary function

Visualization and reporting

Data compatibility

Inputs

Feature or peak table, Statistical results, Pathway or reaction data

Outputs

Human-readable report

Input formats

CSV numeric tables or GraphML graphs

Output formats

Interactive network views and exported analysis results

Scope and considerations

Designed for

  • General graph analysis and visual exploration of numerical-data relationships.

Not designed for

  • MS/MS matching, raw-data processing or inference of causal biochemical interactions.

Important requirements

  • A cleaned numerical matrix or an existing graph with meaningful identifiers.

Considerations

  • Normalization, missing values, batch effects and correlation thresholds influence network structure.
  • Graph clusters are exploratory patterns and need independent biological assessment.

Access and documentation

Open-source desktop software with Windows, macOS and Linux downloads. The official site also offers a browser version; assess its suitability separately for your data and deployment requirements.

License: GPL-3.0

Evidence and review

Official project documentation and direct tool publications reviewed on 2026-09-12. Included for downstream MS metabolomics. No installation, dataset analysis or independent performance benchmarking performed.

Core publications

Resource papers, direct updates and tool-specific methods. Selection policy.

  1. Freeman TC, et al. Graphia: A platform for the graph-based visualisation and analysis of high dimensional data. PLOS Computational Biology 18, e1010310 (2022). doi:10.1371/journal.pcbi.1010310

Related tools

Entry history

Changes to this catalogue entry, not the tool's software release history. Acceptance and editorial review are separate.

  1. 2026-09-12 · First committed entry

    Add network visualization specialists and curated relationships

    View change · Entry at this revision

Full GitHub history