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CRUSTY: a versatile web platform for the rapid analysis and visualization of high-dimensional flow cytometry data

Articolo
Data di Pubblicazione:
2023
Abstract:
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/.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
flow citometry; web tool; bioinformatics; CRUSTY
Elenco autori:
Licciulli, VITO FLAVIO; Grillo, Giorgio; Consiglio, Arianna; Puccio, Simone
Autori di Ateneo:
CONSIGLIO ARIANNA
GRILLO GIORGIO
LICCIULLI VITO FLAVIO
PUCCIO SIMONE
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/438360
Pubblicato in:
NATURE COMMUNICATIONS
Journal
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URL

https://www.nature.com/articles/s41467-023-40790-0
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