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.
Anno
2022
Autori IAC
Tipo pubblicazione
Altri Autori
Eugenio Del Prete, Ana Margarida Campos, Fabio Della Rocca, Carmela Gallo, Angelo Fontana, Genoveffa Nuzzo, Claudia Angelini
Editore
Oxford University Press,
Rivista
Bioinformatics (Oxf., Print)