lesSDRF is more: maximizing the value of proteomics data through streamlined metadata annotation
Tine Claeys,
Tim Van Den Bossche,
Yasset Perez-Riverol,
Kris Gevaert,
Juan Antonio Vizcaíno (juan@ebi.ac.uk) and
Lennart Martens (lennart.martens@ugent.be)
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Tine Claeys: VIB-UGent Center for Medical Biotechnology, VIB
Tim Van Den Bossche: VIB-UGent Center for Medical Biotechnology, VIB
Yasset Perez-Riverol: European Bioinformatics Institute (EMBL-EBI)
Kris Gevaert: VIB-UGent Center for Medical Biotechnology, VIB
Juan Antonio Vizcaíno: European Bioinformatics Institute (EMBL-EBI)
Lennart Martens: VIB-UGent Center for Medical Biotechnology, VIB
Nature Communications, 2023, vol. 14, issue 1, 1-4
Abstract:
Abstract Public proteomics data often lack essential metadata, limiting its potential. To address this, we present lesSDRF, a tool to simplify the process of metadata annotation, thereby ensuring that data leave a lasting, impactful legacy well beyond its initial publication.
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-42543-5
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DOI: 10.1038/s41467-023-42543-5
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