Xavier Domingo-Almenara
Xavier Domingo-Almenara
Principal Investigator - EURECAT, Technology Centre of Catalonia
Verified email at - Homepage
Cited by
Cited by
METLIN: a technology platform for identifying knowns and unknowns
C Guijas, JR Montenegro-Burke, X Domingo-Almenara, A Palermo, ...
Analytical chemistry 90 (5), 3156-3164, 2018
Annotation: a computational solution for streamlining metabolomics analysis
X Domingo-Almenara, JR Montenegro-Burke, HP Benton, G Siuzdak
Analytical chemistry 90 (1), 480-489, 2018
The METLIN small molecule dataset for machine learning-based retention time prediction
X Domingo-Almenara, C Guijas, E Billings, JR Montenegro-Burke, ...
Nature communications 10 (1), 5811, 2019
XCMS-MRM and METLIN-MRM: a cloud library and public resource for targeted analysis of small molecules
X Domingo-Almenara, JR Montenegro-Burke, J Ivanisevic, A Thomas, ...
Nature methods 15 (9), 681-684, 2018
eRah: a computational tool integrating spectral deconvolution and alignment with quantification and identification of metabolites in GC/MS-based metabolomics
X Domingo-Almenara, J Brezmes, M Vinaixa, S Samino, N Ramirez, ...
Analytical Chemistry 88 (19), 9821-9829, 2016
Exposome-scale investigations guided by global metabolomics, pathway analysis, and cognitive computing
B Warth, S Spangler, M Fang, CH Johnson, EM Forsberg, A Granados, ...
Analytical chemistry 89 (21), 11505-11513, 2017
Autonomous METLIN-Guided In-source Fragment Annotation for Untargeted Metabolomics
X Domingo-Almenara, JR Montenegro-Burke, C Guijas, ELW Majumder, ...
Analytical chemistry, 2019
Metabolomics data processing using XCMS
X Domingo-Almenara, G Siuzdak
Computational methods and data analysis for metabolomics, 11-24, 2020
Enhanced in-source fragmentation annotation enables novel data independent acquisition and autonomous METLIN molecular identification
J Xue, X Domingo-Almenara, C Guijas, A Palermo, MM Rinschen, J Isbell, ...
Analytical chemistry 92 (8), 6051-6059, 2020
Metabolic rewiring of the hypertensive kidney
MM Rinschen, O Palygin, C Guijas, A Palermo, N Palacio-Escat, ...
Science signaling 12 (611), eaax9760, 2019
Compound identification in gas chromatography/mass spectrometry-based metabolomics by blind source separation
X Domingo-Almenara, A Perera, N Ramírez, N Cañellas, X Correig, ...
Journal of Chromatography A, 2015
Autonomous multimodal metabolomics data integration for comprehensive pathway analysis and systems biology
T Huan, A Palermo, J Ivanisevic, D Rinehart, D Edler, T Phommavongsay, ...
Analytical chemistry 90 (14), 8396-8403, 2018
Metabolic adaptation to calorie restriction
C Guijas, JR Montenegro-Burke, R Cintron-Colon, X Domingo-Almenara, ...
Science signaling 13 (648), eabb2490, 2020
Metabolomics activity screening of T cell–induced colitis reveals anti-inflammatory metabolites
JR Montenegro-Burke, BP Kok, C Guijas, X Domingo-Almenara, C Moon, ...
Science signaling 14 (702), eabf6584, 2021
Cognitive analysis of metabolomics data for systems biology
ELW Majumder, EM Billings, HP Benton, RL Martin, A Palermo, C Guijas, ...
Nature Protocols 16 (3), 1376-1418, 2021
Accelerated lysine metabolism conveys kidney protection in salt-sensitive hypertension
MM Rinschen, O Palygin, A El-Meanawy, X Domingo-Almenara, ...
Nature Communications 13 (1), 4099, 2022
Automated resolution of chromatographic signals by independent component analysis–orthogonal signal deconvolution in comprehensive gas chromatography/mass spectrometry-based …
X Domingo-Almenara, A Perera, N Ramirez, J Brezmes
Computer methods and programs in biomedicine 130, 135-141, 2016
Avoiding hard chromatographic segmentation: A moving window approach for the automated resolution of gas chromatography–mass spectrometry-based metabolomics signals by …
X Domingo-Almenara, A Perera, J Brezmes
Journal of Chromatography A 1474, 145-151, 2016
Machine Learning-Based Retention Time Prediction of Trimethylsilyl Derivatives of Metabolites
SM de Cripan, A Cereto-Massagué, P Herrero, A Barcaru, N Canela, ...
Biomedicines 10 (4), 879, 2022
Baitmet, a computational approach for GC–MS library-driven metabolite profiling
X Domingo-Almenara, J Brezmes, G Venturini, G Vivó-Truyols, A Perera, ...
Metabolomics 13, 93, 2017
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