Enabling pan-repository reanalysis for big data science of public metabolomics data
Abstract
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.
Article Details
Authors (22)
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
Center for Marine Biotechnology and Biomedicine, Scripps Institution of Oceanography
Trent R. Northen
Joint BioEnergy Institute
Benjamin P. Bowen
Katherine B. Louie
Pieter C. Dorrestein
Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego
Mingxun Wang