Computational Metabolomics & Systems Biology

to Drive Fundamental Discovery

ABOUT US

The Metsys Lab is part of the Omics Sciences Unit at The Technology Centre of Catalonia (EURECAT), and the Department of Electrical, Electronic and Control Engineering at the University Rovira i Virgili (URV). We combine bioinformatics and analytical chemistry to develop computational tools applied to mass spectrometry-based metabolomics.

Our lab is supported by:

RESEARCH

Our lab works at the intersection between different disciplines...

SIGNAL PROCESSING

To process mass spectrometry signals and leverage their multivariate nature to enhance data processing performance.

MACHINE LEARNING

To predict chemical properties or analyze complex molecular interactions.

ANALYTICAL CHEMISTRY

To increase the algorithm's performance by designing specific analytical solutions and methods.

SYSTEMS BIOLOGY

To understand complex biological interactions through multi-omics data integration

STATISTICS

To make our methods robust and assess the accuracy of our algorithms and findings

... applying them for fundamental discovery in metabolomics research:

GENOMICS

TRANSCRIPTOMICS

PROTEOMICS

METABOLOMICS

PHENOTYPE

Metabolites are the downstream product of cellular biochemistry. At the same time, metabolites are the central hub in microbiome-host interactions.

 

MICROBIOTA

with the following overarching research aims:

- Design methods and tools for metabolite annotation and identification

 

- High-throughput metabolomics data processing algorithm development

 

- Systems Biology-based molecular mechanism elucidation

THE TEAM

Xavier Domingo-Almenara, PhD

Principal Investigator

xavier.domingoa@eurecat.org

 

2021/2024 - "La Caixa" Junior Leader, EURECAT, Barcelona, Catalonia, Spain

2019 - Adjuct Professor at the University Rovira i Virgili, Tarragona, Catalonia, Spain

2019 - Principal Investigator at the Omics Sciences Unit, EURECAT, Barcelona, Catalonia, Spain

2017/2019 - Postdoctoral Researcher at Scripps Research, La Jolla, California, US

2013/2106 - PhD in Bioengineering at Universitat Rovira i Virgili, Tarragona, Catalonia, Spain.

Sara Martínez de Cripán Vázquez

Graduate Research Assistant (PhD student)

 

2021 - Graduate Research Assistant at EURECAT, Barcelona, Catalonia, Spain

2018/2020 - M.S. Bioinformatics and Biostatistics, Universitat Oberta de Catalunya (UOC)

2017/2018 - ERASMUS Student at University of the West of Scotland (UWS)

2014/2018 - B.Sc. Biochemistry and Molecular Biology

Trisha Arora

Graduate Research Assistant (PhD student)

 

2021/ - Marie Curie ITN Fellow (COL_RES project), EURECAT, Barcelona, Catalonia, Spain

2016/ 2021 -  BS/MS in Biological Sciences, Indian Institute of Science Education and Reseach, Bhopal, India

Xula

Assistant Research Staff

 

 

PUBLICATIONS

* Corresponding author

Featured

X. Domingo-Almenara*, Guijas C., Billings E., Montenegro-Burke J. R., Uritboonthai W., Aisporna A. E., Chen E., Benton H. P., Siuzdak G. The METLIN small molecule dataset for machine learning-based retention time prediction. Nature Communications 10 (2019) 5811 [LINK]

 

X. Domingo-Almenara*,  Montenegro-Burke J. R., Guijas C., Majumder E. L-W., Benton H. P., Siuzdak G. Autonomous METLIN-Guided In-source Fragment Annotation for Untargeted Metabolomics. Analytical Chemistry 91 (2019) 3246-3253 [LINK]

 

X. Domingo-Almenara, Montenegro-Burke J. R., Ivanisevic J., Thomas A., Sidibe J., Teav T., Guijas C., Aisporna A. E., Rinehart D., Hoang L., Nordstrom A., Gomez-Romero M., Whiley L., Lewis M. R., Nicholson J. K., Benton H. P., Siuzdak G. XCMS-MRM and METLIN-MRM: a cloud library and public resource for targeted analysis of small molecules. Nature Methods 15 (2018) 681-684 [LINK]

 

 

X. Domingo-Almenara*, Perera A., Brezmes J., Venturini G., Vivo-Truyols G., Perera A., Vinaixa M. Baitmet, a computational approach for GC-MS library-driven metabolite profiling. Metabolomics 13:93 (2017) On the cover. [LINK]

 

 

X. Domingo-Almenara*, Brezmes J., Vinaixa M., Samino S., Ramirez N., Ramon-Krauel M., Lerin C., Ibánez L., Correig X., Perera A., Yanes O. eRah: A computational tool integrating spectral deconvolution and alignment with quantification and identification of metabolites in GC/MS-based metabolomics. Analytical Chemistry 88 (2016) 9821-9829 [LINK]

 

 

Complete list:

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ABOUT US

RESEARCH

THE TEAM

PUBLICATIONS

CONTACT