Department of Medical Protein Research, VIB and Faculty of Medicine and Health Sciences, Department of Biochemistry, Ghent University, Ghent 9000, Belgium.
Bioinformatics. 2013 Oct 15;29(20):2661-3. doi: 10.1093/bioinformatics/btt437. Epub 2013 Aug 5.
Automated image processing has allowed cell migration research to evolve to a high-throughput research field. As a consequence, there is now an unmet need for data management in this domain. The absence of a generic management system for the quantitative data generated in cell migration assays results in each dataset being treated in isolation, making data comparison across experiments difficult. Moreover, by integrating quality control and analysis capabilities into such a data management system, the common practice of having to manually transfer data across different downstream analysis tools will be markedly sped up and made more robust. In addition, access to a data management solution creates gateways for data standardization, meta-analysis and structured public data dissemination. We here present CellMissy, a cross-platform data management system for cell migration data with a focus on wound healing data. CellMissy simplifies and automates data management, storage and analysis from the initial experimental set-up to data exploration.
CellMissy is a cross-platform open-source software developed in Java. Source code and cross-platform binaries are freely available under the Apache2 open source license at http://cellmissy.googlecode.com.
自动化图像处理使得细胞迁移研究发展成为一个高通量的研究领域。因此，现在在这个领域中存在对数据管理的未满足的需求。在细胞迁移测定中生成的定量数据缺乏通用的管理系统，导致每个数据集都被孤立地处理，使得跨实验进行数据比较变得困难。此外，通过将质量控制和分析功能集成到这样的数据管理系统中，可以显著加快并使更稳健地完成在不同下游分析工具之间手动传输数据的常见做法。此外，访问数据管理解决方案为数据标准化、元分析和结构化公共数据发布创建了门户。我们在这里介绍 CellMissy，这是一个专注于伤口愈合数据的细胞迁移数据的跨平台数据管理系统。CellMissy 简化并自动化了从初始实验设置到数据探索的数据管理、存储和分析。
CellMissy 是一个用 Java 开发的跨平台开源软件。源代码和跨平台二进制文件可在 Apache2 开源许可证下免费获得，网址为 http://cellmissy.googlecode.com。
