eRah: A Computational Tool Integrating Spectral Deconvolution and Alignment with Quantification and Identification of Metabolites in GC/MS-Based Metabolomics-Reference-Cited by-同舟云学术

eRah: A Computational Tool Integrating Spectral Deconvolution and Alignment with Quantification and Identification of Metabolites in GC/MS-Based Metabolomics

Published:2016-09-14 Issue:19 Volume:88 Page:9821-9829
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Domingo-Almenara Xavier¹²,Brezmes Jesus¹²,Vinaixa Maria¹²,Samino Sara¹²,Ramirez Noelia¹²,Ramon-Krauel Marta³,Lerin Carles³,Díaz Marta²³,Ibáñez Lourdes²³,Correig Xavier¹²,Perera-Lluna Alexandre⁴,Yanes Oscar¹²

Affiliation:

1. Metabolomics Platform, Department of Electronic Engineering (DEEEA), Universitat Rovira i Virgili, 43003 Tarragona, Catalonia, Spain

2. Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), 28029 Madrid, Spain

3. Institut de Recerca Pediàtrica, Hospital Sant Joan de Déu, University of Barcelona, 08950 Barcelona, Catalonia, Spain

4. B2SLab, Center for Biomedical Engineering Research (CREB), CIBERBBN, Department of ESAII, Universitat Politècnica de Catalunya, 08028 Barcelona, Catalonia, Spain

Funder

Ministerio de Economía y Competitividad

Directorate-General for Research and Innovation

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.6b02927

Reference53 articles.

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2. A gas-liquid-chromatographic procedure for separating a wide range of metabolites occurring in urine or tissue extracts