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ShinySOM: graphical SOM-based analysis of single-cell cytometry data.


ABSTRACT: SUMMARY:ShinySOM offers a user-friendly interface for reproducible, high-throughput analysis of high-dimensional flow and mass cytometry data guided by self-organizing maps. The software implements a FlowSOM-style workflow, with improvements in performance, visualizations and data dissection possibilities. The outputs of the analysis include precise statistical information about the dissected samples, and R-compatible metadata useful for the batch processing of large sample volumes. AVAILABILITY AND IMPLEMENTATION:ShinySOM is free and open-source, available online at gitlab.com/exaexa/ShinySOM. SUPPLEMENTARY INFORMATION:Supplementary data are available at Bioinformatics online.

SUBMITTER: Kratochvil M 

PROVIDER: S-EPMC7214046 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

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ShinySOM: graphical SOM-based analysis of single-cell cytometry data.

Kratochvíl Miroslav M   Bednárek David D   Sieger Tomáš T   Fišer Karel K   Vondrášek Jiří J  

Bioinformatics (Oxford, England) 20200501 10


<h4>Summary</h4>ShinySOM offers a user-friendly interface for reproducible, high-throughput analysis of high-dimensional flow and mass cytometry data guided by self-organizing maps. The software implements a FlowSOM-style workflow, with improvements in performance, visualizations and data dissection possibilities. The outputs of the analysis include precise statistical information about the dissected samples, and R-compatible metadata useful for the batch processing of large sample volumes.<h4>A  ...[more]

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