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Journal of Cheminformatics|June 7, 2022
Probabilistic metabolite annotation using retention time prediction and meta-learned projectionsConstantino A García, Alberto Gil-de-la-Fuente, Coral Barbas, et al.
Electrophoresis|April 21, 2017
Differentiating signals to make biological sense - A guide through databases for MS-based non-targeted metabolomicsAlberto Gil de la Fuente, Emily Grace Armitage, Abraham Otero, et al.
Analytical Chemistry|March 3, 2020
Unveiling the Fragmentation Mechanisms of Modified Amino Acids as the Key for Their Targeted IdentificationMaricruz Mamani-Huanca, Ana Gradillas, Alberto Gil de la Fuente, et al.
Computational and Structural Biotechnology Journal|August 30, 2019
LAS: A Lipid Annotation Service Capable of Explaining the Annotations It GeneratesMariano Fernández-López, Alberto Gil-de-la-Fuente, Joanna Godzien, et al.
Journal of Pharmaceutical and Biomedical Analysis|March 17, 2018
Knowledge-based metabolite annotation tool: CEU Mass MediatorAlberto Gil de la Fuente, Joanna Godzien, Mariano Fernández López, et al.
Journal of Cheminformatics|January 7, 2019
BioTransformer: a comprehensive computational tool for small molecule metabolism prediction and metabolite identificationYannick Djoumbou-Feunang, Jarlei Fiamoncini, Alberto Gil-de-la-Fuente, et al.
Frontiers in Molecular Biosciences|April 3, 2023
Integrating the potential of ion mobility spectrometry-mass spectrometry in the separation and structural characterisation of lipid isomersSandra M Camunas-Alberca, Maria Moran-Garrido, Jorge Sáiz, et al.
Analytica Chimica Acta|October 8, 2018
Characterization and annotation of oxidized glycerophosphocholines for non-targeted metabolomics with LC-QTOF-MS dataAlberto Gil de la Fuente, Federico Traldi, Jitka Siroka, et al.
Journal of Chromatography. A|December 10, 2020
Enhancing confidence of metabolite annotation in Capillary Electrophoresis-Mass Spectrometry untargeted metabolomics with relative migration time and in-source fragmentationMaricruz Mamani-Huanca, Alberto Gil de la Fuente, Abraham Otero, et al.
Proteomics|June 2, 2022
Recent developments in data acquisition, treatment and analysis with ion mobility-mass spectrometry for lipidomicsMaría Moran-Garrido, Sandra M Camunas-Alberca, Alberto Gil-de-la Fuente, et al.
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