Muchmore B, Alarcón-Riquelme M E
Centre for Genomics and Oncological Research (GENYO), Area of Genomic Medicine, Genetics of Complex Diseases, Pfizer-University of Granada-Andalusian Regional Government, Health Sciences Technology Park, Granada 18016, Spain.
IMM, Unit for Chronic Inflammatory Diseases, Karolinska Institutet, Stockholm 17177, Sweden.
Bioinformatics. 2017 Mar 1;33(5):776-778. doi: 10.1093/bioinformatics/btw707.
Here we present open-source software for the analysis of high-dimensional cytometry data using state of the art algorithms. Importantly, use of the software requires no programming ability, and output files can either be interrogated directly in CymeR or they can be used downstream with any other cytometric data analysis platform. Also, because we use Docker to integrate the multitude of components that form the basis of CymeR, we have additionally developed a proof-of-concept of how future open-source bioinformatic programs with graphical user interfaces could be developed.
CymeR is open-source software that ties several components into a single program that is perhaps best thought of as a self-contained data analysis operating system. Please see https://github.com/bmuchmore/CymeR/wiki for detailed installation instructions.
在此，我们展示了用于使用先进算法分析高维细胞计数数据的开源软件。重要的是，使用该软件无需编程能力，输出文件既可以直接在CymeR中进行查询，也可以在下游与任何其他细胞计数数据分析平台一起使用。此外，由于我们使用Docker来集成构成CymeR基础的众多组件，我们还开发了一个概念验证，说明未来如何开发具有图形用户界面的开源生物信息学程序。
CymeR是一款开源软件，它将多个组件整合到一个程序中，该程序或许最好被视为一个独立的数据分析操作系统。有关详细的安装说明，请参见https://github.com/bmuchmore/CymeR/wiki。
