rMSIfragment: improving MALDI-MSI lipidomics through automated in-source fragment annotation

rMSIfragment: improving MALDI-MSI lipidomics through automated in-source fragment annotation

Abstract Matrix-Assisted Laser Desorption Ionization Mass Spectrometry Imaging (MALDI-MSI) spatially resolves the chemical composition of tissues. Lipids are of particular interest, as they influence important biological processes in health and disease. However, the identification of lipids in MALDI...

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Bibliographic Details
Main Authors: Gerard Baquer, Lluc Sementé, Pere Ràfols, Lucía Martín-Saiz, Christoph Bookmeyer, José A. Fernández, Xavier Correig, María García-Altares
Format: Article
Language:English
Published: BMC 2023-09-01
Series:Journal of Cheminformatics
Subjects:
In-source fragmentation
In-source decay
Lipids
Annotation
Mass spectrometry imaging
MALDI
Online Access:https://doi.org/10.1186/s13321-023-00756-2

Internet

https://doi.org/10.1186/s13321-023-00756-2

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