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...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Päätekijät: 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
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: BMC 2017-07-01
Sarja:BMC Bioinformatics
Aiheet:
Lipidomics
Data-independent analysis
Data-dependent analysis
Mass spectrometry
High resolution mass spectrometry
Tandem mass spectrometry
Linkit:http://link.springer.com/article/10.1186/s12859-017-1744-3
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