2020
DOI: 10.1186/s12859-020-03830-w
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CosinorPy: a python package for cosinor-based rhythmometry

Abstract: Background Even though several computational methods for rhythmicity detection and analysis of biological data have been proposed in recent years, classical trigonometric regression based on cosinor still has several advantages over these methods and is still widely used. Different software packages for cosinor-based rhythmometry exist, but lack certain functionalities and require data in different, non-unified input formats. Results We present CosinorPy, a Python implementation of cosinor-based methods for … Show more

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Cited by 61 publications
(70 citation statements)
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“…The mean acrophase (the time at which the peak of a rhythm occurs) of 5 days was calculated for each animal, period and behaviour using the C osinor P y package [ 44 ]. Circular statistical analyses were conducted using the O riana software, v. 4 (Kovach Computing Wales, UK) [ 45 ].…”
Section: Methodsmentioning
confidence: 99%
“…The mean acrophase (the time at which the peak of a rhythm occurs) of 5 days was calculated for each animal, period and behaviour using the C osinor P y package [ 44 ]. Circular statistical analyses were conducted using the O riana software, v. 4 (Kovach Computing Wales, UK) [ 45 ].…”
Section: Methodsmentioning
confidence: 99%
“…A 2-or-more component model is useful when approximating a waveform that is not sinusoidal. It can describe waveforms with complex oscillatory dynamics that cannot be approximated with a single-component cosinor (Moškon, 2020). The 2-component cosinor is (Cornelissen, 2014) as follows:…”
Section: Data and Statistical Analysismentioning
confidence: 99%
“…Rhythmicity and differential rhythmicity analyses were implemented in Python 3 using a recently developed CosinorPy package [ 41 ]. The reported significance values are adjusted for multiple testing using the Benjamini and Hochberg procedure.…”
Section: Methodsmentioning
confidence: 99%