lesSDRF is more: maximizing the value of proteomics data through streamlined metadata annotation.
Journal
Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555
Informations de publication
Date de publication:
24 10 2023
24 10 2023
Historique:
received:
15
05
2023
accepted:
13
10
2023
medline:
27
10
2023
pubmed:
25
10
2023
entrez:
24
10
2023
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 37875519
doi: 10.1038/s41467-023-42543-5
pii: 10.1038/s41467-023-42543-5
pmc: PMC10598006
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
6743Informations de copyright
© 2023. Springer Nature Limited.
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