iMet: A Network-Based Computational Tool To Assist in the Annotation of Metabolites from Tandem Mass Spectra-Reference-Cited by-同舟云学术

iMet: A Network-Based Computational Tool To Assist in the Annotation of Metabolites from Tandem Mass Spectra

Published:2017-03-03 Issue:6 Volume:89 Page:3474-3482
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Aguilar-Mogas Antoni¹^ORCID,Sales-Pardo Marta¹,Navarro Miriam²³,Guimerà Roger¹⁴,Yanes Oscar²³^ORCID

Affiliation:

1. Departament d’Enginyeria Química, Universitat Rovira i Virgili, Av. Països Catalans 26, 43007 Tarragona, Catalonia, Spain

2. Metabolomics Platform, Department of Electronic Engineering (DEEEA), Universitat Rovira i Virgili, Av. Països Catalans 26, 43007 Tarragona, Catalonia, Spain

3. Biomedical Research Center in Diabetes and Associated Metabolic Disorders (CIBERDEM), Monforte de Lemos 35, 28029 Madrid, Spain

4. Institució Catalana de Recerca i Estudis Avançats (ICREA), Lluís Companys 23, 08010 Barcelona, Catalonia, Spain

Funder

European Commission

James S. McDonnell Foundation

Ministerio de Econom?a y Competitividad

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.6b04512

Reference54 articles.

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5. Automated workflows for accurate mass-based putative metabolite identification in LC/MS-derived metabolomic datasets

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