LipidMatch: an automated workflow for rule-based lipid identification using untargeted high-resolution tandem mass spectrometry data

Abstract Background Lipids are ubiquitous and serve numerous biological functions; thus lipids have been shown to have great potential as candidates for elucidating biomarkers and pathway perturbations associated with disease. Methods expanding coverage of the lipidome increase the likelihood of bio...

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Библиографические подробности
Главные авторы: Jeremy P. Koelmel, Nicholas M. Kroeger, Candice Z. Ulmer, John A. Bowden, Rainey E. Patterson, Jason A. Cochran, Christopher W. W. Beecher, Timothy J. Garrett, Richard A. Yost
Формат: Artigo
Язык:Inglês
Опубликовано: BMC 2017-07-01
Серии:BMC Bioinformatics
Предметы:
Lipidomics
Data-independent analysis
Data-dependent analysis
Mass spectrometry
High resolution mass spectrometry
Tandem mass spectrometry
Online-ссылка:http://link.springer.com/article/10.1186/s12859-017-1744-3
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