lipidr

lipidr implements a complete workflow for downstream analysis of targeted and untargeted lipidomics data in R.

Key Features:

• Data Import: lipidomics results can be imported as a numerical matrix or a Skyline export, allowing integration into current analysis frameworks.
• Data Mining: Data mining of lipidomics datasets is enabled through integration with Metabolomics Workbench API.
• Data Inspection: lipidr allows data inspection of lipidomics datasets.
• Normalization: lipidr performs normalization of lipidomics data.
• Univariate Analysis: lipidr performs univariate analysis of lipidomics data.
• Multivariate Analysis: lipidr performs multivariate analysis of lipidomics data.
• Visualization: lipidr displays informative visualizations of lipidomics data.
• Lipid Set Enrichment Analysis (LSEA): lipidr implements a novel LSEA, harnessing molecular information such as lipid class, total chain length and unsaturation.

Scientific Applications:

• Targeted Lipidomics Analysis: lipidr supports complete downstream analysis workflows for targeted lipidomics data.
• Untargeted Lipidomics Analysis: lipidr supports complete downstream analysis workflows for untargeted lipidomics data.
• Lipid Set Enrichment Analysis: lipidr enables LSEA using molecular lipid characteristics to identify enriched lipid classes and structural features.

Methodology:

lipidr integrates with the Metabolomics Workbench API for data mining and implements Lipid Set Enrichment Analysis (LSEA) harnessing molecular information such as lipid class, total chain length and unsaturation.