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BCyto: A shiny app for flow cytometry data analysis.
Bonilha, Caio Santos.
Afiliação
  • Bonilha CS; Center for Research in Inflammatory Diseases, University of Sao Paulo, Ribeirao Preto, 14049-900, Brazil; Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow, G12 8TA, UK. Electronic address: Caio.Bonilha@usp.br.
Mol Cell Probes ; 65: 101848, 2022 10.
Article em En | MEDLINE | ID: mdl-35933055
Flow cytometry (FCM) is a widely used technique to simultaneously measure various characteristics of a cell or particle. Most of reliable software for FCM data analysis are commercially available at high costs. A few R packages are available; however, programming skills are required. In addition, currently, no package offers an interactive user interface (UI) with efficient tools for conventional FCM data analysis. BCyto is an open-source R package/shiny app that allows cell biologists with no coding skills to reliably analyse FCM data in R. BCyto provides intuitive axis transformation for better data visualization, easy visualization of compensation plots and modification of compensation matrices, fast generation of backgating and overlay plots, as well as built-in proliferation and dimensionality reduction tools. BCyto will not only improve accessibility to FCM data analysis but might also serve as an environment for the development of further R-based computational FCM algorithms.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aplicativos Móveis / Análise de Dados Idioma: En Revista: Mol Cell Probes Assunto da revista: BIOLOGIA MOLECULAR / BIOTECNOLOGIA Ano de publicação: 2022 Tipo de documento: Article País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aplicativos Móveis / Análise de Dados Idioma: En Revista: Mol Cell Probes Assunto da revista: BIOLOGIA MOLECULAR / BIOTECNOLOGIA Ano de publicação: 2022 Tipo de documento: Article País de publicação: Reino Unido