Wu Binbin, Ja William W
Department of Neuroscience, The Herbert Wertheim UF Scripps Institute for Biomedical Innovation & Technology, Jupiter, FL 33458, USA.
bioRxiv. 2025 Jul 15:2025.07.08.663749. doi: 10.1101/2025.07.08.663749.
Circadian rhythms regulate a wide range of biological processes, and their precise characterization is essential for understanding behavioral and physiological fluctuations. However, existing tools to analyze circadian data often require coding expertise or rely on specific data acquisition software, limiting their general applicability. Here, we present easyClock, an intuitive and interactive application designed to streamline circadian rhythm analysis and visualization. The easyClock application enables simultaneous processing of multiple files, allowing users to preview, batch-analyze, and plot diverse sets of time series generated from high-throughput experiments. To enhance data analysis efficiency and provide comparable results, this application integrates four different analysis methods for handling data with various waveforms. Results are easily viewed and exported for any selected range of data. This free-to-use application is open-source and can be deployed on macOS computers by users without coding experience.
昼夜节律调节广泛的生物过程，对其进行精确表征对于理解行为和生理波动至关重要。然而，现有的分析昼夜节律数据的工具通常需要编码专业知识或依赖特定的数据采集软件，限制了它们的普遍适用性。在此，我们展示了easyClock，这是一个直观且交互式的应用程序，旨在简化昼夜节律分析和可视化。easyClock应用程序能够同时处理多个文件，允许用户预览、批量分析和绘制从高通量实验生成的各种时间序列集。为提高数据分析效率并提供可比结果，该应用程序集成了四种不同的分析方法来处理具有各种波形的数据。对于任何选定的数据范围，结果都易于查看和导出。这个免费使用的应用程序是开源的，没有编码经验的用户也可以在macOS计算机上进行部署。
