lipidr

lipidr provides comprehensive analysis and mining of mass spectrometry (MS)-based lipidomics datasets within the R programming environment.

Key Features:

• Data import: Supports import of numerical matrices, Skyline exports, and Metabolomics Workbench files into R.
• Automated lipid annotation: Infers lipid class, chain length, and unsaturation from lipid names.
• Public dataset integration: Integrates with the Metabolomics Workbench API to search for, download, and reanalyze public lipidomics datasets.
• Analysis workflow: Implements a workflow for targeted and untargeted lipidomics including data inspection and normalization.
• Statistical analyses: Performs uni- and multivariate statistical analyses on lipidomics data.
• Lipid set enrichment analysis: Implements a lipid set enrichment analysis focused on lipid class, chain length, and total unsaturation.

Scientific Applications:

• Targeted and untargeted lipidomics: Analysis and interpretation of both targeted and untargeted lipidomic studies.
• Comparative reanalysis of public datasets: Enables searching, downloading, and reanalyzing Metabolomics Workbench datasets for comparative studies.
• Lipid metabolism investigation: Identifying patterns in lipid class, chain length, and unsaturation to study lipid metabolism in biological and biomedical research.

Methodology:

Performs import of numerical matrices, Skyline exports, and Metabolomics Workbench files; automatically infers lipid class, chain length, and unsaturation from lipid names; integrates with the Metabolomics Workbench API for dataset retrieval; conducts data inspection, normalization, uni- and multivariate statistical analyses; and implements lipid set enrichment analysis focused on lipid class, chain length, and total unsaturation.