Sharing and reusing cell image data.
Sharing and reusing cell image data.
复制标题
共享和重复使用单元格数据。
DOI：
10.1091/mbc.e17-10-0606
复制
发表时间：
2018-06-01
影响因子：
3.3
通讯作者：
Zaritsky A
中科院分区：
文献类型：
--
作者：
Zaritsky A
细胞图像数据内容和复杂性的快速增长为实验科学家和计算科学家之间的协同合作创造了机会。共享显微镜数据使计算科学家能够开发用于数据分析、集成和挖掘的算法和工具。这些工具可以被实验者用来促进假说的产生和发现。我们现在正处于这场革命的黎明：正在开发数据标准化，沉积，共享和分析的基础设施;一些期刊和资助机构要求数据沉积;数据期刊出版高内容的显微镜数据集;量化成为科学出版物的标准;新的分析工具正在开发并分发给社区;大量的数据集是由个人实验室和慈善活动产生的。在这一观点中，我反思了共享和重用细胞图像数据以及随之而来的沿着的机会。
The rapid growth in content and complexity of cell image data creates an opportunity for synergy between experimental and computational scientists. Sharing microscopy data enables computational scientists to develop algorithms and tools for data analysis, integration, and mining. These tools can be applied by experimentalists to promote hypothesis-generation and discovery. We are now at the dawn of this revolution: infrastructure is being developed for data standardization, deposition, sharing, and analysis; some journals and funding agencies mandate data deposition; data journals publish high-content microscopy data sets; quantification becomes standard in scientific publications; new analytic tools are being developed and dispatched to the community; and huge data sets are being generated by individual labs and philanthropic initiatives. In this Perspective, I reflect on sharing and reusing cell image data and the opportunities that will come along with it.