RhythmInsight: An Interactive Web Platform for Circadian and Diurnal Rhythmic Analysis and Visualization

Area of Science:

• Chronobiology
• Computational Biology
• Bioinformatics

Background:

• Circadian and diurnal rhythms regulate physiological and behavioral processes.
• The field of chronobiology is rapidly expanding in life sciences and translational medicine.
• Existing computational tools for rhythm analysis are fragmented, require programming expertise, and have limited visualization capabilities.

Purpose of the Study:

• To develop a comprehensive and user-friendly tool for detecting and analyzing circadian and diurnal rhythmicity.
• To address the need for accessible rhythm analysis platforms for researchers without programming backgrounds.

Main Methods:

• Development of RhythmInsight, an open-access, web-based platform.
• Integration of 3 modules: Rhythmic Analysis (9 algorithms), Differential Rhythmicity Analysis (CircaCompare-based), and Rhythmic Visualization (plots, heatmaps, etc.).
• Support for diverse data types including physiological, omics, and experimental data across species.

Main Results:

• RhythmInsight provides a unified platform for rhythm detection, characterization, and comparison.
• The platform integrates 9 established algorithms for robust rhythmic signal analysis.
• Interactive visualization tools enhance the intuitive understanding of time-dependent trends.

Conclusions:

• RhythmInsight simplifies complex chronobiological data analysis.
• The platform enhances accessibility for experimental biologists and early-career scientists.
• RhythmInsight facilitates the study of circadian and diurnal rhythms across various biological contexts.