Enabling pan-repository reanalysis for big data science of public metabolomics data

Public untargeted metabolomics data is a growing resource for metabolite and phenotype discovery; however, accessing and utilizing these data across repositories pose significant challenges. Therefore, here we develop pan-repository universal identifiers and harmonized cross-repository metadata. This ecosystem facilitates discovery by integrating diverse data sources from public repositories including MetaboLights, Metabolomics Workbench, and GNPS/MassIVE. Our approach simplified data handling and unlocks previously inaccessible reanalysis workflows, fostering unmatched research opportunities.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2025-05-24
DOI
https://doi.org/10.1038/s41467-025-60067-y
Citations
24
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
18.54

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enabling pan-repository reanalysis for big data science of public metabolomics data

Haoqi Nina Zhao, Yasin El Abiead, Andrés Mauricio Caraballo‐Rodríguez, Eoin Fahy et al.
24 citations
Nature Communications
Metabolomics and Mass Spectrometry Studies
18.54
article

Enabling pan-repository reanalysis for big data science of public metabolomics data

Haoqi Nina Zhao, Yasin El Abiead, Andrés Mauricio Caraballo‐Rodríguez, Eoin Fahy, Juan Antonio Vizcaíno, Benjamin P. Bowen, Ipsita Mohanty, Mingxun Wang, Paulo Wender Portal Gomes, Helena Mannochio-Russo, Claire O’Donovan, Shipei Xing, Katherine Louie, Özgür Yürekten, Nicole E. Avalon, Pieter C. Dorrestein, Simone Zuffa, Shankar Subramamiam, Thomas Payne, Michael Strobel, Victoria Deleray
article en
24 citations

Abstract

Public untargeted metabolomics data is a growing resource for metabolite and phenotype discovery; however, accessing and utilizing these data across repositories pose significant challenges. Therefore, here we develop pan-repository universal identifiers and harmonized cross-repository metadata. This ecosystem facilitates discovery by integrating diverse data sources from public repositories including MetaboLights, Metabolomics Workbench, and GNPS/MassIVE. Our approach simplified data handling and unlocks previously inaccessible reanalysis workflows, fostering unmatched research opportunities.

Nature CommunicationsVol. 16(1)
University of California, Riverside (US), European Bioinformatics Institute (GB), Lawrence Berkeley National Laboratory (US), Scripps Institution of Oceanography (US), San Diego Supercomputer Center (US), Joint Genome Institute (US), University of California, Irvine (US), University of California San Diego (US), Irvine University (US), Universidade Federal do Pará (BR)
National Science Foundation, Gordon and Betty Moore Foundation, European Molecular Biology Laboratory, National Institutes of Health, Biotechnology and Biological Sciences Research Council, Common Fund
Openalex Percentile: Top 0%
Metabolomics and Mass Spectrometry Studies
18.54
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.