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

Miroslav Kratochvíl | Zendy; David Bednárek | Zendy; Tomáš Sieger | Zendy; Karel Fišer | Zendy; Jiřı́ Vondrášek | Zendy

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

Author(s) -

Miroslav Kratochvíl,

David Bednárek,

Tomáš Sieger,

Karel Fišer,

Jiřı́ Vondrášek

Publication year - 2020

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btaa091

Subject(s) - computer science , workflow , metadata , software , graphical user interface , interface (matter) , data mining , sample (material) , mass cytometry , information retrieval , database , world wide web , operating system , biochemistry , chemistry , bubble , chromatography , maximum bubble pressure method , gene , phenotype

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.

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