LEAFLC-MS Extensible Analysis Framework

A user-facing LC-MS metabolomics workflow for targeted extraction, peak review, quality assessment, isotope tracing, and statistical visualization.

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Quickstart

Targeted quantification

LEAF extracts ion chromatograms from a defined compound list, performs peak picking, and stores the complete analysis in a reproducible result archive.

Extraction parameters

Quality assessment

Per-compound verdicts, chromatogram review, retention-time checks, and sample grouping support systematic review before statistical interpretation.

Result review

Isotope tracing

Stable-isotope labeling experiments can be configured during extraction and reviewed as absolute or fractional isotopologue distributions.

Tracing setup

Statistical visualization

PCA, heatmaps, volcano plots, hierarchical clustering, correlation networks, and pathway maps are generated from the processed targeted dataset.

Chart reference

MINT integration under development

Hosted LEAF through MINT is not enabled for general use yet. Use the wheel + CLI install path for current analyses.

Install the wheel + CLI · MINT status

Developer documentation

This site is the user manual. For Python API reference, plugin architecture, and frontend internals, see the LEAF repository documentation.