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Updated: Oct 25, 2025

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Rhythmic Component Analysis Tool (RCAT): A Precise, Efficient and User-Friendly Tool for Circadian Clock Genes

Zhibo Liu1, Meng Meng2,3, Shufan Zhang1

  • 1Department of Bioinformatics, School of Biological and Basic Medical Sciences, Soochow University, 199 Ren-ai Road, Suzhou, 215123, China.

Interdisciplinary Sciences, Computational Life Sciences
|August 10, 2021
PubMed
Summary

A new tool, RCAT, simplifies the analysis of circadian rhythm data from high-throughput sequencing and real-time systems. It accurately identifies rhythmic components like period, amplitude, and phase, improving data analysis flexibility and convenience for researchers.

Keywords:
Cross-platformRhythmic components analysisSoftware

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Area of Science:

  • Chronobiology
  • Bioinformatics
  • Computational Biology

Background:

  • High-throughput sequencing and real-time systems generate extensive circadian rhythm data.
  • Existing software for analyzing this data is often complex and inefficient.
  • There is a need for a user-friendly tool to quantify rhythmic components (period, amplitude, phase) of circadian clock genes.

Purpose of the Study:

  • To develop a convenient and user-friendly analysis tool, the Rhythmic Component Analysis Tool (RCAT).
  • To enable accurate quantification of rhythmic components from circadian data.
  • To improve the flexibility and efficiency of analyzing periodic oscillation data.

Main Methods:

  • Developed RCAT with an intuitive interface and one-button operation.
  • Utilized CircaInSilico to generate synthetic time-series data for testing under various conditions.
  • Validated RCAT using real-world microarray, RNA-Seq, and Lumicycle data from the Gene Expression Omnibus repository.

Main Results:

  • RCAT successfully detected cycling samples and computed accurate rhythmic components (period, amplitude, phase).
  • The tool demonstrated effectiveness across different data types (microarray, RNA-Seq, real-time fluorescence) and collection intervals.
  • RCAT provides results in easily interpretable tables and images, automatically saved as CSV files.

Conclusions:

  • RCAT offers a flexible and convenient solution for analyzing circadian rhythm data.
  • The tool enhances the quantitative analysis of period, amplitude, and phase in biological rhythms.
  • RCAT is a cross-platform, freely available software for the circadian research community.