LipidMS 3.0: an R-package and a web-based tool for LC-MS/MS data processing and lipid annotation.
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Autores de IIS La Fe
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Abstract
LipidMS was initially envisioned to use fragmentation rules and data-independent acquisition (DIA) for lipid annotation. However, data-dependent acquisition (DDA) remains the most widespread acquisition mode for untargeted LC-MS/MS-based lipidomics. Here we present LipidMS 3.0, an R package that not only adds DDA and new lipid classes to its pipeline, but also the required functionalities to cover the whole data analysis workflow from pre-processing (i.e., peak-peaking, alignment and grouping) to lipid annotation.
© The Author(s) 2022. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
Datos de la publicación
- ISSN/ISSNe:
- 1367-4803, 1367-4811
- Tipo:
- Article
- Páginas:
- 4826-4828
- PubMed:
- 36005855
- Factor de Impacto:
- 3,400 SCImago ℠
- Cuartil:
- Q1 SCImago ℠
BIOINFORMATICS OXFORD UNIV PRESS
Citas Recibidas en Web of Science: 10
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Keywords
- MASS-SPECTROMETRY
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