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.
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CITATION STYLE
APA
Claeys, T., Van Den Bossche, T., Perez-Riverol, Y., Gevaert, K., Vizcaíno, J. A., & Martens, L. (2023). lesSDRF is more: maximizing the value of proteomics data through streamlined metadata annotation. Nature Communications, 14(1). https://doi.org/10.1038/s41467-023-42543-5
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