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easyClock: A User-Friendly Desktop Application for Circadian Rhythm Analysis and Visualization.

Binbin Wu1, William W Ja1

  • 1Department of Neuroscience, The Herbert Wertheim UF Scripps Institute for Biomedical Innovation & Technology, Jupiter, FL 33458, USA.

Biorxiv : the Preprint Server for Biology
|July 17, 2025
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Summary
This summary is machine-generated.

easyClock is a new, free application for analyzing circadian rhythms. It simplifies complex data analysis and visualization for researchers without coding experience, making biological rhythm studies more accessible.

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Area of Science:

  • Chronobiology
  • Computational Biology
  • Data Analysis Software

Background:

  • Circadian rhythms govern numerous biological processes, necessitating accurate characterization for understanding physiological and behavioral patterns.
  • Current circadian data analysis tools often demand programming skills or proprietary software, restricting their widespread adoption and accessibility.

Purpose of the Study:

  • To introduce easyClock, an intuitive, interactive, and open-source application for streamlined circadian rhythm analysis and visualization.
  • To provide a user-friendly solution for researchers, particularly those without coding expertise, to analyze high-throughput time-series data.

Main Methods:

  • easyClock facilitates simultaneous processing and batch analysis of multiple data files.
  • The application integrates four distinct analytical methods to accommodate diverse waveform data.
  • It offers interactive preview, plotting, and data export functionalities for selected data ranges.

Main Results:

  • easyClock enables efficient, comparable analysis of circadian rhythm data from high-throughput experiments.
  • The software allows users to easily visualize and export results without prior coding knowledge.
  • Deployment on macOS is supported for users lacking programming experience.

Conclusions:

  • easyClock democratizes circadian rhythm analysis by offering an accessible, efficient, and versatile tool.
  • The application enhances the ability to characterize biological rhythms, supporting broader research applications.
  • Its open-source nature and ease of use promote wider adoption in chronobiology research.