背景:时间生物学是专注于研究生物过程中周期性的科学领域。在哺乳动物中,大多数生理变量表现出昼夜节律,比如新陈代谢,体温,运动活动,和睡眠。可以通过检查时间序列并提取与振荡周期相关的参数来统计评估生物节律性,它的振幅,相位位移,和整体可变性。
方法:我们开发了一个名为CircadiPy的库,它封装了时间生物学分析和数据检查的方法,作为分析和解释时间生物学数据的开放获取工具包。包装设计灵活,全面和可扩展,以协助研究处理受节奏影响或影响的过程。
结果:结果显示该工具包能够指导用户分析从各种记录来源收集的时间生物学数据,同时还提供与昼夜节律相关的精确参数。
方法:该建议库的分析方法提供了以直接且无成本的方式检查和获取时间生物学参数的机会,与商业工具相比。
结论:此外,作为一个开源工具,它使社区有机会为新功能做出贡献,分析方法,和图形可视化给出了时间序列数据分析的简化计算方法,在单个Python对象中使用简单而全面的管道。
BACKGROUND: Chronobiology is the scientific field focused on studying periodicity in biological processes. In mammals, most physiological variables exhibit circadian rhythmicity, such as metabolism, body temperature, locomotor activity, and sleep. The biological rhythmicity can be statistically evaluated by examining the time series and extracting parameters that correlate to the period of oscillation, its amplitude, phase displacement, and overall variability.
METHODS: We have developed a library called CircadiPy, which encapsulates methods for chronobiological analysis and data inspection, serving as an open-access toolkit for the analysis and interpretation of chronobiological data. The package was designed to be flexible, comprehensive and scalable in order to assist research dealing with processes affected or influenced by rhythmicity.
RESULTS: The results demonstrate the toolkit\'s capability to guide users in analyzing chronobiological data collected from various recording sources, while also providing precise parameters related to the circadian rhythmicity.
METHODS: The analysis methodology from this proposed library offers an opportunity to inspect and obtain chronobiological parameters in a straightforward and cost-free manner, in contrast to commercial tools.
CONCLUSIONS: Moreover, being an open-source tool, it empowers the community with the opportunity to contribute with new functions, analysis methods, and graphical visualizations given the simplified computational method of time series data analysis using an easy and comprehensive pipeline within a single Python object.