XCMS: processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching, and identification.
Abstract
Metabolite profiling in biomarker discovery, enzyme substrate assignment, drug activity/specificity determination, and basic metabolic research requires new data preprocessing approaches to correlate specific metabolites to their biological origin. Here we introduce an LC/MS-based data analysis approach, XCMS, which incorporates novel nonlinear retention time alignment, matched filtration, peak detection, and peak matching. Without using...
Paper Details
Title
XCMS: processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching, and identification.
Published Date
Jan 7, 2006
Journal
Volume
78
Issue
3
Pages
779 - 787
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History