MyCompoundID MS/MS Search: Metabolite Identification Using a Library of Predicted Fragment-Ion-Spectra of 383,830 Possible Human Metabolites-Reference-Cited by-同舟云学术

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MyCompoundID MS/MS Search: Metabolite Identification Using a Library of Predicted Fragment-Ion-Spectra of 383,830 Possible Human Metabolites

Published:2015-10-06 Issue:20 Volume:87 Page:10619-10626
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Huan Tao¹,Tang Chenqu¹,Li Ronghong¹,Shi Yi¹,Lin Guohui¹,Li Liang¹

Affiliation:

1. Departments of Chemistry and ‡Computing Science, University of Alberta, Edmonton, Alberta T6G2G2, Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Alberta Innovates - Technology Futures

Genome Canada

Alberta Innovates - Health Solutions

Canada Research Chairs

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.5b03126

Reference22 articles.

1. MyCompoundID: Using an Evidence-Based Metabolome Library for Metabolite Identification

2. Mass spectrometry tools and metabolite-specific databases for molecular identification in metabolomics

3. Mass appeal: metabolite identification in mass spectrometry-focused untargeted metabolomics

4. Evaluation of the sensitivity of the ‘Wiley registry of tandem mass spectral data, MSforID’ with MS/MS data of the ‘NIST/NIH/EPA mass spectral library’

5. Mass Spectral Reference Libraries: An Ever-Expanding Resource for Chemical Identification

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