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easyClock:一个用户友好的桌面应用程序,用于昼夜节律分析和可视化
1Department of Neuroscience, The Herbert Wertheim UF Scripps Institute for Biomedical Innovation and Technology, Jupiter, FL, 33458, USA. binbin.wu@ufl.edu.
BMC bioinformatics
|December 5, 2025
概括
easyClock通过一个直观的开源应用程序简化了昼夜节律分析. 该工具允许批处理,可视化和时间序列数据的统计评估,而不需要编程技能.
科学领域:
- 时间生物学 时间生物学
- 生物信息学是一种生物信息学.
- 数据科学数据科学数据科学
背景情况:
- 昼夜节律控制着许多生物过程,需要准确的分析来理解生理和行为模式.
- 当前的昼夜数据分析工具往往需要编程技能或专有软件,这阻碍了广泛采用.
- 需要可访问,用户友好的软件来分析复杂的昼夜时间序列数据.
研究的目的:
- 介绍easyClock,一种直观和交互式的应用程序,用于简化昼夜节律分析和可视化.
- 提供一种多功能工具,能够处理各种时间序列数据集,包括具有不同波形和噪声的数据集.
- 为了促进研究人员对昼夜数据的有效批处理和统计评估.
主要方法:
- 开发一个名为easyClock的交互式图形用户界面 (GUI) 应用程序.
- 实施批处理能力,用于同时分析多个数据文件.
- 统计方法的整合,包括线性混合效应建模,用于评估个人间的变化和群体差异.
- 支持数据可视化和输出结果和图表.
主要成果:
- easyClock 能够同时对多个昼夜时间序列数据集进行批量分析和可视化.
- 该应用程序有效地处理各种波形和噪声水平的数据,确保可靠的分析.
- 通过集成的统计建模,easyClock 便于评估个体间的变化和群体差异.
- 通过对时间序列转录组数据集的重新分析来证明实用性.
结论:
- easyClock是一个可访问的,开源工具,使昼夜节律分析民主化.
- 该应用程序不需要编程专业知识,并为Windows和macOS上的研究人员提供了用户友好的体验.
- 简单的时钟在昼夜数据分析和可视化方面提高了效率和可比性.
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