Inspecting and interpreting results

A browser-based interactive viewer for raw and public mass-spectrometry data, chromatograms, spectra, quantitative traces, and GNPS-associated datasets without requiring local analysis software.

A web platform and associated R package for metabolomics data processing, statistical analysis, visualization, functional interpretation, and multi-omics integration.

A modular collection of browser-based downstream analysis applications that extend GNPS2 results with targeted interpretation, statistics, metadata, and domain-specific readouts.

Run metabolomics processing, statistics and functional interpretation through R.

Generate pathway and network hypotheses from untargeted metabolomics feature tables.

Explore relationships between genes and metabolites in combined metabolic and signaling networks.

Explore mass-spectrometry metabolomics tables through an R/Shiny interface.

Normalize metabolomics data and compare the performance of alternative normalization strategies.

Correct signal drift and analyze molecular-profile data from single- or multi-batch studies.

Perform differential metabolomics analysis and explore metabolic correlation modules in R.

Analyze lipid abundance tables and test patterns across lipid classes and structural properties.

Create and share metabolomics processing and analysis workflows in a Galaxy environment.

Connect LC-MS processing, quality control, annotation and interpretation through an R package ecosystem.

Separate shared and dataset-specific variation when integrating two omics data matrices.

Fit and assess multivariate PCA, PLS and OPLS models for omics data in R.

Annotate GNPS2 feature-based networking results with drug and drug-metabolite context for exposure-oriented interpretation.

Annotate molecular features with dietary and food-ontology context to explore potential food-derived exposures.

Visualize CMMC enrichment results alongside feature abundances, metadata and molecular-network information.

Web-based lipid ontology enrichment tool that connects lipid lists or rankings to chemical, biophysical, cellular and functional lipid properties.

LIPID MAPS web tool for exploring changes in mammalian lipid pathways and predicting relative reaction or enzyme activity from quantitative lipidomics data.

Explore lipid abundance tables through statistical analysis, lipid characteristics, enrichment and network visualizations.

Group lipid names into ontology terms and test enrichment using a locally run Shiny interface.

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

Cytoscape app for interpreting identified metabolites and expression data in metabolic and correlation networks.

Integrated metabolite, gene/protein, reaction, ontology and pathway resource for metabolomics and multi-omics pathway analysis.