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A Facile Database Search Engine for Metabolite Identification and Biomarker Discovery in Metabolomics
Library Number:
APNT134796033
Part Number:
720005044EN
Author(s):
Panagiotis Arapitsas, James Langridge, Fulvio Mattivi, Giuseppe Astarita
Source:
Waters, Research and Innovation Centre - Fondazione Edmund Mach
Content Type:
Application Notes
Content Subtype:
Application Notes
Related Products:
SYNAPT HDMS
Abstract / Summary
In this study, we show the Progenesis QI workflow for metabolite identification using, as an example, a study on the effect of different bottling conditions on the nutritional composition of Italian wines.
Progenesis QI effectively streamlines and simplifies complicated metabolomics workflows and makes metabolite identification faster, easier, and more robust. User-definable search parameters dramatically decrease the number of false positive and false negative results in the identification workflow, improving the confidence of identification.
Downloadable File(s)
| Title | Format | File Size |
|---|---|---|
| Download (720005044en) | 1940.09kB |