mzQC: a versatile way to communicate quality information for biological mass spectrometry
This record contains the input data and output files for the use cases in the manuscript “mzQC: a versatile way to communicate quality information for biological mass spectrometry”. mzQC is a community standard for representing mass spectrometry quality control metrics and their metadata. It is a machine-readable JSON format and controlled vocabularies define each metric. The use cases in the manuscript cover proteomics, metabolomics, lipidomics and imaging. The codes that read these files and regenerate the mzQC files and manuscript figures are at https://github.com/MS-Quality-Hub/mzqc-use-cases. Content Each zip file holds one use case and contains two folders: input/: the files the use-case script reads output/: the mzQC files and figures the script produces (included so you can check results without rerunning the codes)
Authors
- Yasin El Abiead (ORCID: https://orcid.org/0000-0003-4392-7706)
- Mathias Walzer (ORCID: https://orcid.org/0000-0003-4538-2754)
- Julian Uszkoreit (ORCID: https://orcid.org/0000-0001-7522-4007)
- Steffen Neumann (ORCID: https://orcid.org/0000-0002-7899-7192)
- Bo Burla (ORCID: https://orcid.org/0000-0002-5918-3249)
- Reza M. Salek (ORCID: https://orcid.org/0000-0001-8604-1732)
- Wout Bittremieux (ORCID: https://orcid.org/0000-0002-3105-1359)
- Timo T. Sachsenberg (ORCID: https://orcid.org/0000-0002-2833-6070)
- Stefan Tenzer (ORCID: https://orcid.org/0000-0003-3034-0017)
- Yasset Pérez‐Riverol (ORCID: https://orcid.org/0000-0001-6579-6941)
- Mingxun Wang (ORCID: https://orcid.org/0000-0001-7647-6097)
- David Jimenez‐Morales (ORCID: https://orcid.org/0000-0003-4356-6461)
- David L. Tabb (ORCID: https://orcid.org/0000-0001-7223-578X)
- Eralp Doğu (ORCID: https://orcid.org/0000-0002-8256-7304)
- Chris Bielow (ORCID: https://orcid.org/0000-0001-5756-3988)
- Tim Van Den Bossche (ORCID: https://orcid.org/0000-0002-5916-2587)
- Martin Eisenacher (ORCID: https://orcid.org/0000-0003-2687-7444)
- Olga Vitek A (ORCID: https://orcid.org/0000-0003-1728-1104)
- Nils Hoffmann (ORCID: https://orcid.org/0000-0002-6540-6875)
- Michael J. Strobel (ORCID: https://orcid.org/0009-0000-3829-0048)
- Fatemeh Mirzadeh Sarcheshmeh (ORCID: https://orcid.org/0009-0009-5331-6512)
- Patrick Boschmann (ORCID: https://orcid.org/0009-0003-8169-2933)
- Franziska Nicolaus (ORCID: https://orcid.org/0009-0008-4238-4117)
Institutions
- University of California, Riverside (US)
- European Bioinformatics Institute (GB)
- University Medical Center Groningen (NL)
- University of Antwerp (BE)
- National University of Singapore (SG)
- Forschungszentrum Jülich (DE)
- Bielefeld University (DE)
- University of Cambridge (GB)
- University of California San Diego (US)
- VIB-UGent Center for Medical Biotechnology (BE)
- Freie Universität Berlin (DE)
- University of Tübingen (DE)
- Ruhr University Bochum (DE)
- Stanford University (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-10-30
- DOI
- https://doi.org/10.5281/zenodo.22959480
- Primary Topic
- Advanced Proteomics Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00