CRUSTY: a versatile web platform for the rapid analysis and visualization of high-dimensional flow cytometry data.
Journal
Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555
Informations de publication
Date de publication:
04 09 2023
04 09 2023
Historique:
received:
16
09
2022
accepted:
10
08
2023
medline:
6
9
2023
pubmed:
5
9
2023
entrez:
4
9
2023
Statut:
epublish
Résumé
Flow cytometry (FCM) can investigate dozens of parameters from millions of cells and hundreds of specimens in a short time and at a reasonable cost, but the amount of data that is generated is considerable. Computational approaches are useful to identify novel subpopulations and molecular biomarkers, but generally require deep expertize in bioinformatics and the use of different platforms. To overcome these limitations, we introduce CRUSTY, an interactive, user-friendly webtool incorporating the most popular algorithms for FCM data analysis, and capable of visualizing graphical and tabular results and automatically generating publication-quality figures within minutes. CRUSTY also hosts an interactive interface for the exploration of results in real time. Thus, CRUSTY enables a large number of users to mine complex datasets and reduce the time required for data exploration and interpretation. CRUSTY is accessible at https://crusty.humanitas.it/ .
Identifiants
pubmed: 37666818
doi: 10.1038/s41467-023-40790-0
pii: 10.1038/s41467-023-40790-0
pmc: PMC10477295
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
5102Informations de copyright
© 2023. Springer Nature Limited.
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