ADViSELipidomics: a workflow for analyzing lipidomics data

Area of Science:

• * Lipidomics
• * Bioinformatics
• * Data analysis

Background:

• * Lipidomics data analysis requires specialized tools for preprocessing, identification, and quantification.
• * Existing tools may have limitations in handling diverse data formats and performing integrated analyses.
• * There is a need for a user-friendly application to streamline lipidomics data workflows.

Purpose of the Study:

• * To introduce ADViSELipidomics, a novel Shiny application for comprehensive lipidomics data analysis.
• * To provide a user-friendly interface for preprocessing, analyzing, and visualizing lipidomics data.
• * To support data from various sources like LipidSearch, LIQUID, and Metabolomics Workbench.

Main Methods:

• * Utilizes LIPID MAPS classification for lipid species extraction and information parsing.
• * Integrates sample information for exploratory and statistical analyses.
• * Implements data normalization using internal lipid standards and performs batch effect correction.
• * Identifies differentially abundant lipids in various experimental designs.

Main Results:

• * ADViSELipidomics effectively preprocesses, analyzes, and visualizes lipidomics data.
• * The application supports data from multiple sources and performs normalization and differential analysis.
• * Offers a user-friendly graphical interface with interactive graphics for enhanced data exploration.

Conclusions:

• * ADViSELipidomics provides a robust and accessible platform for lipidomics research.
• * The app simplifies complex analyses, including normalization and differential abundance testing.
• * Facilitates deeper insights into lipidomics data through integrated visualization and statistical tools.