CFM-ID 3.0: Significantly Improved ESI-MS/MS Prediction and Compound Identification

Metabolite identification for untargeted metabolomics is often hampered by the lack of experimentally collected reference spectra from tandem mass spectrometry (MS/MS). To circumvent this problem, Competitive Fragmentation Modeling-ID (CFM-ID) was developed to accurately predict electrospray ionizat...

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Detalles Bibliográficos
Autores principales: Djoumbou-Feunang, Yannick, Pon, Allison, Karu, Naama, Zheng, Jiamin, Li, Carin, Arndt, David, Gautam, Maheswor, Allen, Felicity, Wishart, David S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6523630/
https://www.ncbi.nlm.nih.gov/pubmed/31013937
http://dx.doi.org/10.3390/metabo9040072

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6523630/
https://www.ncbi.nlm.nih.gov/pubmed/31013937
http://dx.doi.org/10.3390/metabo9040072

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