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. 2022 Dec 13;38(24):5460-5462.
doi: 10.1093/bioinformatics/btac706.

ADViSELipidomics: a workflow for analyzing lipidomics data

Eugenio Del Prete  1 , Ana Margarida Campos  2 , Fabio Della Rocca  1 , Carmela Gallo  2 , Angelo Fontana  2   3 , Genoveffa Nuzzo  2 , Claudia Angelini  1
Affiliations

ADViSELipidomics: a workflow for analyzing lipidomics data

Eugenio Del Prete et al. Bioinformatics. .

Abstract

Summary: ADViSELipidomics is a novel Shiny app for preprocessing, analyzing and visualizing lipidomics data. It handles the outputs from LipidSearch and LIQUID for lipid identification and quantification and the data from the Metabolomics Workbench. ADViSELipidomics extracts information by parsing lipid species (using LIPID MAPS classification) and, together with information available on the samples, performs several exploratory and statistical analyses. When the experiment includes internal lipid standards, ADViSELipidomics can normalize the data matrix, providing normalized concentration values per lipids and samples. Moreover, it identifies differentially abundant lipids in simple and complex experimental designs, dealing with batch effect correction. Finally, ADViSELipidomics has a user-friendly graphical user interface and supports an extensive series of interactive graphics.

Availability and implementation: ADViSELipidomics is freely available at https://github.com/ShinyFabio/ADViSELipidomics.

Supplementary information: Supplementary data are available at Bioinformatics online.

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Figures

Fig. 1.
Fig. 1.
ADViSELipidomics interface. The example shows selection (A), import and filtering (B), calibration (C) of data, imputation of missing data and creation of Summarized Experiment R object (D)
See this image and copyright information in PMC

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