What do you need to do with your lipid data?

Parses the many lipid nomenclatures and serialises them back to standardised LIPID MAPS shorthand. Libraries in C++, Python, Java and R.

Identifies lipids from shotgun (direct-infusion) high-resolution MS data via user-defined MFQL queries.

R Shiny application to post-process, quality-control and quantify LipidXplorer output.

Builds targeted MS assays and in-silico spectral libraries across 60+ lipid classes, then exports them to Skyline.

Compares whole lipidomes through a structural-space model, with machine-learning feature selection, QC and an interactive GUI.

Interactive visualisation and analysis of lipidomics datasets in a neural-network vector space built from LIPID MAPS and SwissLipids.

Transcript, protein, metabolite and lipid enrichment analysis onto GO terms, honouring the hierarchy of lipid shorthand names.

A database for collecting, querying and sharing curated quantitative lipidomics datasets.

The Lipidomics Minimal Reporting Checklist as a step-wise wizard, with PDF export and an optional Zenodo DOI.

Web validator and REST API for mzTab 2.0-M and mzTab 1.0 reporting files.

A standard format for reporting quantitative mass spectrometry metabolomics results in a tab-separated file.

A standard for reporting and exchanging quality control metrics for mass spectrometry runs and datasets.