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 rhythmicity detection and analysis. CosinorPy merges and extends the functionalities of existing cosinor packages. It supports the analysis of rhythmic data using single- or multi-component cosinor models, automatic selection of the best model, population-mean cosinor reg

SUBMITTER: Moskon M 

PROVIDER: S-EPMC7597035 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature