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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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DOI: 10.1038/s41467-023-42543-5

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