Beal Jacob, Overney Cassandra, Adler Aaron, Yaman Fusun, Tiberio Lisa, Samineni Meher
Raytheon BBN Technologies , Cambridge , Massachusetts 02138 , United States.
Olin College , Needham , Massachusetts 02492 , United States.
ACS Synth Biol. 2019 Jul 19;8(7):1524-1529. doi: 10.1021/acssynbio.8b00533. Epub 2019 May 9.
Flow cytometry is a powerful method for high-throughput precision measurement of cell fluorescence and size. Effective use of this tool for quantification of synthetic biology devices and circuits, however, generally requires careful application of complex multistage workflows for calibration, filtering, and analysis with appropriate statistics. The TASBE Flow Analytics package provides a free, open, and accessible implementation of such workflows in a form designed for high-throughput analysis of large synthetic biology data sets. Given a set of experimental samples and controls, this package can process them to output calibrated data, quantitative analyses and comparisons, automatically generated figures, and detailed debugging and diagnostic reports in both human-readable and machine-readable forms. TASBE Flow Analytics can be used through a simple user-friendly interactive Excel interface, as a library supporting Matlab, Octave, or Python interactive sessions, or as a component integrated into automated workflows.
流式细胞术是一种用于对细胞荧光和大小进行高通量精确测量的强大方法。然而,要有效地使用该工具来量化合成生物学装置和电路,通常需要仔细应用复杂的多阶段工作流程,进行校准、过滤,并采用适当的统计方法进行分析。TASBE Flow Analytics软件包以一种专为高通量分析大型合成生物学数据集而设计的形式,提供了此类工作流程的免费、开放且易于使用的实现方式。给定一组实验样本和对照,该软件包可以对它们进行处理,以输出校准数据、定量分析和比较结果、自动生成的图表,以及以人类可读和机器可读形式呈现的详细调试和诊断报告。TASBE Flow Analytics可以通过一个简单易用的交互式Excel界面使用,也可以作为支持Matlab、Octave或Python交互式会话的库使用,或者作为集成到自动化工作流程中的组件使用。