easyClock

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

easyClock is a graphical desktop application designed for researchers to analyze, visualize, and export circadian rhythm data without programming requirements.

Developed for Drosophila melanogaster behavioral studies, easyClock integrates multiple circadian rhythm analysis approaches, including parametric, non-parametric, harmonic, and time-frequency methods, into a single user-friendly interface.

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Overview

easyClock provides an integrated workflow for:

1. Importing behavioral time-series data
2. Assigning biological groups
3. Performing circadian rhythm analysis
4. Visualizing fitted models and rhythmic patterns
5. Exporting publication-ready figures and statistical results

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Flexible Data Import and Group Management (data length >= 48 hr)

easyClock supports CSV-based behavioral datasets.

Features:

• Load up to three datasets simultaneously

• Automatically handle:

  • duplicate column names
  • unnamed columns
  • multiple biological replicates

• Assign individual samples into experimental groups

• Automatically calculate:

  • Mean behavioral profile
  • Standard error of the mean (SEM)

Circadian Rhythm Analysis

1. Cosinor Analysis
2. Cosine-Kendall Analysis
3. Python-JTK Analysis
4. AR-JTK: Autocorrelation-Aware JTK Analysis
5. Harmonic Cosinor Analysis
6. Continuous Wavelet Transform (CWT)
7. Individual Rhythm Analysis
8. Linear Mixed-Effects Model

Visualization

1. Actograms
2. Various rhythm Fitting Visualization

Developer

Binbin Wu, Ph.D. Ja Laboratory UF Scripps Institute

Version release

To download the installation package or check version updates, please follow this link: https://github.com/Dr-WUBINBIN/easyClock/releases

Reference

Binbin Wu, William Ja. easyClock: a user-friendly desktop application for circadian rhythm analysis and visualization. BMC Bioinformatics 27, 7 (2026). https://doi.org/10.1186/s12859-025-06340-9