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This is the development version of cycle; for the stable release version, see cycle.

Significance of periodic expression pattern in time-series data

Bioconductor version: Development (3.19)

Package for assessing the statistical significance of periodic expression based on Fourier analysis and comparison with data generated by different background models

Author: Matthias Futschik <mfutschik at ualg.pt>

Maintainer: Matthias Futschik <mfutschik at ualg.pt>

Citation (from within R, enter citation("cycle")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

Introduction to cycle PDF R Script
Reference Manual PDF


biocViews Microarray, Software, TimeCourse
Version 1.57.0
In Bioconductor since BioC 2.5 (R-2.10) (14.5 years)
License GPL-2
Depends R (>= 2.10.0), Mfuzz
Imports Biobase, stats
System Requirements
URL http://cycle.sysbiolab.eu
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Follow Installation instructions to use this package in your R session.

Source Package cycle_1.57.0.tar.gz
Windows Binary cycle_1.57.0.zip
macOS Binary (x86_64) cycle_1.57.0.tgz
macOS Binary (arm64) cycle_1.57.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/cycle
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/cycle
Bioc Package Browser https://code.bioconductor.org/browse/cycle/
Package Short Url https://bioconductor.org/packages/cycle/
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