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Tucholski, T.* ; Maennel, A.* ; Njipouombe Nsangou, Y.A. ; Schuchardt, S.* ; Gruber, M.* ; Kellermeier, F.* ; Dettmer, K.* ; Oefner, P.J.* ; Gronwald, W.* ; Altenbuchinger, M.* ; Dönitz, J. ; Zacharias, H.U.*

MetaboSERV-a platform for selecting, exchanging, and visualizing metabolomics data with controlled data access.

GigaScience 14:giaf075 (2025)
Verlagsversion Forschungsdaten DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
BACKGROUND: The growing number of metabolomics studies, based on high-dimensional data measured by hyphenated mass spectrometry (MS) and/or nuclear magnetic resonance (NMR) spectroscopy, has sparked the creation of several public metabolomics data repositories. Each repository emphasizes different aspects regarding data selection and representation, but most offer only limited options for privacy-preserving data sharing. RESULTS: We present MetaboSERV, an open-source, browser-based metabolomics platform dedicated to the selection, integration, and sharing of quantitative metabolomics data and metadata with controlled data access. MetaboSERV aims to aid researchers in analyzing their results by facilitating means to browse, visualize, and compare data across available datasets. It provides different access control functionalities, creating an environment in which data can be shared safely in a privacy-preserving manner to support collaborative and interdisciplinary research. Furthermore, it is designed to be extensible and adaptable to existing data management infrastructures through the creation of self-managed MetaboSERV instances, for which we provide the source code and a set of configurable Docker images. CONCLUSIONS: The public MetaboSERV instance is available at https://metaboserv.ckdn.app, and the source code can be found at https://gitlab.gwdg.de/MedBioinf/metabolomics/metaboserv. The Research Resource Identifier (RRID) for MetaboSERV is SCR_025496.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter (privacy-preserving) Data Sharing ; Collaborative Research ; Mass Spectrometry ; Metabolomics ; Nuclear Magnetic Resonance Spectroscopy; Acute Kidney Injury; Repository; Metabolights; Discovery; Urine
Sprache englisch
Veröffentlichungsjahr 2025
HGF-Berichtsjahr 2025
e-ISSN 2047-217X
Zeitschrift GigaScience
Quellenangaben Band: 14, Heft: , Seiten: , Artikelnummer: giaf075 Supplement: ,
Verlag Oxford Univ Press
Verlagsort London
Begutachtungsstatus Peer reviewed
POF Topic(s) 30205 - Bioengineering and Digital Health
Forschungsfeld(er) Enabling and Novel Technologies
PSP-Element(e) G-503891-001
Förderungen German Federal Ministry of Education and Research (BMBF)
Scopus ID 105012437076
PubMed ID 40748655
Erfassungsdatum 2025-10-02