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LipidSig 2.0

Automated lipidomics analysis integrating lipid characteristics and biological context

Description

LipidSig 2.0 is an advanced web-based platform designed for comprehensive lipidomics data analysis, featuring automated lipid recognition and assignment of 29 biologically relevant lipid characteristics. Integrating data from LIPID MAPS, SwissLipids, HMDB, and MetaNetX, the tool supports multiple lipid nomenclatures through Goslin-based parsing and extensive ID cross-referencing. LipidSig 2.0 provides 24 data-processing methods and offers a full analytical workflow including profiling, multi-group differential expression, enrichment analysis, machine learning, and systems-level network analysis using five different algorithms. These functions enable users to explore lipid structural diversity, metabolic pathway alterations, and characteristic-level biological implications. With integrated ID conversion and data-check modules, LipidSig 2.0 streamlines complex lipidomics tasks for users without programming expertise, serving as a useful resource for discovering lipid-based mechanisms, biomarkers and metabolic signatures.

Technical Information

Covered lipid categories:
FA;GL;GP;ST;PR;SL;PK;SP;
Publications:
10.1093/nar/gkae335, 10.1093/nar/gkab419, 10.1093/bioadv/vbaf047
Download / Web-service:
https://lipidsig.bioinfomics.org/
Programming languages:
R
Platforms:
Web-based platform, R package
Input formats:
CSV, TSV, XLSX
Output formats:
CSV, PDF,
Interface:
Web platform, GUI, CLI
Licence:
MIT License

Sections

Section 6 — Analysis and Visualisation
Section 7 — Data Integration
Section 7.1 — Lipid Annotations and ID Converters
Section 7.2 — Lipid Ontology Enrichment Analysis
Section 7.3 — Pathway and Network Solutions