lesSDRF is more: maximizing the value of proteomics data through streamlined metadata annotation.

Tine ClaeysTim Van Den Bossche Yasset Perez RiverolKris GevaertJuan Antonio Vizcaino Lennart Martens

Published in: Nature communications (2023)

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.

Keyphrases

electronic health record
big data
mass spectrometry
mental health
machine learning
data analysis
label free