Enabling pan-repository reanalysis for big data science of public metabolomics data
- Yasin El Abiead
- Michael Strobel
- Thomas Payne
- Eoin Fahy
- Claire O’Donovan
- Shankar Subramamiam
- Juan Antonio Vizcaíno
- Ozgur Yurekten
- Victoria Deleray
- Simone Zuffa
- Shipei Xing
- Helena Mannochio-Russo
- Ipsita Mohanty
- Haoqi Nina Zhao
- Andres M. Caraballo-Rodriguez
- Paulo Wender P. Gomes
- Nicole E. Avalon
- Trent R. Northen
- Benjamin P. Bowen
- Katherine B. Louie
- Pieter C. Dorrestein
- Mingxun Wang
2025-05-24
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.