ADViSELipidomics

ADViSELipidomics performs preprocessing, normalization, statistical analysis, and visualization of lipidomics datasets to identify and quantify lipid species and differential abundance across experimental conditions.

Key Features:

• Data Preprocessing and Integration: Imports and processes outputs from LipidSearch, LIQUID, and Metabolomics Workbench to enable downstream analysis.
• Lipid Classification and Parsing: Parses and classifies lipid species using the LIPID MAPS classification system.
• Exploratory and Statistical Analyses: Supports exploratory data analysis and statistical tests for simple and complex experimental designs to identify differentially abundant lipids.
• Normalization with Internal Standards: Applies normalization using internal lipid standards to generate normalized concentration values across samples.
• Batch Effect Correction: Implements methods to correct batch effects to reduce technical variability across experiments.
• Visualization: Produces interactive graphics for visual inspection of lipid distributions and statistical results.

Scientific Applications:

• Metabolic Research: Profiling lipidome changes to investigate metabolic pathways and their alterations.
• Clinical Studies: Identifying lipid biomarkers for disease diagnosis, prognosis, or progression.
• Pharmacology: Assessing drug-induced effects on lipid metabolism and lipid species abundance.

Methodology:

Data importation and parsing from supported platforms with lipid species classification via LIPID MAPS; normalization when internal standards are present to generate normalized concentrations; statistical testing to detect significant changes in lipid abundance across conditions; and generation of visualizations for data inspection.