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ADViSELipidomics: a workflow for analyzing lipidomics data

Articolo
Data di Pubblicazione:
2022
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.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Lipidomics; R; Open-source; Data Analysis; Graphical User Interfaces
Elenco autori:
DEL PRETE, Eugenio; DELLA ROCCA, Fabio; FERREIRA CAMPOS, ANA MARGARIDA; Fontana, Angelo; Angelini, Claudia; Nuzzo, Genoveffa; Gallo, Carmela
Autori di Ateneo:
ANGELINI CLAUDIA
FONTANA ANGELO
GALLO CARMELA
NUZZO GENOVEFFA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/414137
Pubblicato in:
BIOINFORMATICS (OXF., PRINT)
Journal
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URL

https://academic.oup.com/bioinformatics/article/38/24/5460/6779973
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