Frommolt Peter, Thomas Roman K
Institute of Medical Statistics, Informatics and Epidemiology, University of Köln, Köln, Germany.
BMC Bioinformatics. 2008 Nov 12;9:475. doi: 10.1186/1471-2105-9-475.
High-throughput screening of pharmaceutical compound activity in tissue culture experiments requires time-consuming repeated analysis of the large amounts of data generated. Automation of the evaluation procedure and assessment of measurement accuracy can save time and improve the comparability of results.
We present a tool for simultaneous evaluation of an arbitrary number of compound screens including a standardized statistical validation. It is provided as a novel R package with a Tcl/Tk-based GUI for convenient use in the lab and runs on usual platforms like Linux, Windows and Mac OS. In a compound screen of lung cancer cells, the tool was successfully and efficiently applied for data analysis.
The package provides an efficient and intuitive platform for automatic evaluation of compound screens, improving the performance and standardization of data analysis.
在组织培养实验中对药物化合物活性进行高通量筛选需要对产生的大量数据进行耗时的重复分析。评估程序的自动化和测量准确性的评估可以节省时间并提高结果的可比性。
我们提出了一种用于同时评估任意数量化合物筛选的工具,包括标准化的统计验证。它作为一个新颖的R包提供,带有基于Tcl/Tk的图形用户界面,便于在实验室中使用,并且可以在Linux、Windows和Mac OS等常见平台上运行。在肺癌细胞的化合物筛选中,该工具成功且高效地应用于数据分析。
该软件包为化合物筛选的自动评估提供了一个高效且直观的平台,提高了数据分析的性能和标准化程度。