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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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| 出版年: | Metabolites |
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| 主要な著者: | , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6523630/ https://ncbi.nlm.nih.gov/pubmed/31013937 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/metabo9040072 |
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