Institute of Organic Chemistry and Biochemistry AS CR, 166 10 Praha 6, Czech Republic.
Department of Software Engineering, MFF, Charles University, 118 00 Prague, Czech Republic.
Bioinformatics. 2020 May 1;36(10):3288-3289. doi: 10.1093/bioinformatics/btaa091.
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.
ShinySOM is free and open-source, available online at gitlab.com/exaexa/ShinySOM.
Supplementary data are available at Bioinformatics online.
ShinySOM 为用户提供了一个直观的界面,用于通过自组织图对高通量的高维流式和质谱细胞术数据进行可重复的分析。该软件实现了一种 FlowSOM 风格的工作流程,在性能、可视化和数据细分方面都有改进。分析的结果包括关于细分样本的精确统计信息,以及与 R 兼容的元数据,可用于大量样本批量处理。
ShinySOM 是免费的开源软件,可在在线 gitlab.com/exaexa/ShinySOM 上获取。
补充数据可在 Bioinformatics 在线获取。