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Related Experiment Video

Updated: Jun 18, 2026

Lipidomics and Transcriptomics in Neurological Diseases

Lipidomics and Transcriptomics in Neurological Diseases

Published on: March 18, 2022

ADViSELipidomics: a workflow for analyzing lipidomics data.

Eugenio Del Prete¹, Ana Margarida Campos², Fabio Della Rocca¹

¹Institute for Calculus Applications 'M. Picone', CNR, 80131 Naples, Italy.

Bioinformatics (Oxford, England)

|October 29, 2022

Summary

This summary is machine-generated.

ADViSELipidomics is a new Shiny app for lipidomics data analysis. It preprocesses, analyzes, and visualizes lipidomics data, including normalization and differential abundance analysis, with a user-friendly interface.

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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.