Lipid Mini-On

Lipid Mini-On performs ontology-based classification, enrichment analysis, and visualization of lipidomics datasets using text-mining and mappings to lipid ontologies such as LipidMaps.

Key Features:

• Ontology-Based Classification: Uses text-mining to map lipid names into multiple ontology categories grounded in LipidMaps and captures attributes such as fatty acyl chain length.
• Enrichment Analysis: Performs enrichment analysis of lipid ontology terms using five distinct statistical approaches.
• Database Customization: Supports addition of new lipid classes to the internal ontology/database to extend classification coverage.
• Visualization and Network Analysis: Produces visualizations across lipid subclasses and individual fatty acid chains and generates editable networks linking lipids to ontology terms.
• Demonstrated Multi-sample Applicability: Applied to diverse biological and environmental lipidomes, including human lung endothelial cells and peat soil.

Scientific Applications:

• Lipidome Annotation and Interpretation: Enables enrichment-driven interpretation and grouping of complex lipidomics datasets by ontology terms and molecular attributes.
• Cross-domain Lipidomics Studies: Supports analysis of cellular and environmental lipidomes, as shown for human lung endothelial cells and peat soil samples.

Methodology:

Text-mining of lipid names for ontology assignment, enrichment analysis using five statistical approaches, and generation of dynamic visualizations including editable networks linking lipids to ontology terms.