Original paper
Hierarchical clustering of MS/MS spectra from the firefly metabolome identifies new lucibufagin compounds
Abstract
Metabolite identification is the greatest challenge when analysing metabolomics data, as only a small proportion of metabolite reference standards exist. Clustering MS/MS spectra is a common method to identify similar compounds, however interrogation of underlying signature fragmentation patterns within clusters can be problematic. Previously published high-resolution LC-MS/MS data from the bioluminescent beetle ( Photinus pyralis ) provided an...
Paper Details
Title
Hierarchical clustering of MS/MS spectra from the firefly metabolome identifies new lucibufagin compounds
Published Date
Apr 8, 2020
Journal
Volume
10
Issue
1
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