Nature Communications (Oct 2023)

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,
  • Lennart Martens

DOI
https://doi.org/10.1038/s41467-023-42543-5
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 4

Abstract

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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.