TimeTraits: extracting functional traits from biological time-series in R.

Authors

Sarah C L Lock, Marina I Knight, Seth J Davis, Daphne Ezer

Published in

Bioinformatics advances. Volume 6. Issue 1. Pages vbag226. Epub Aug 11, 2026.

Abstract

It is currently challenging for scientists to extract meaningful parameters from circadian rhythms that dynamically change over time (i.e. non-stationary rhythms). Circadian rhythms may be non-stationary due to dynamic conditions, such as changes in photoperiod. Circadian rhythms are also nonstationary when plants are suddenly placed under continuous light conditions after a period of entrainment, as their clocks slowly drift without external entrainment signals.
TimeTraits provides a series of functions to enable the extraction of parameters from time series data using Functional Data Analysis methods. We demonstrate its utility in dissecting the changes in curve shape of a circadian clock bioluminescence marker, following a photoperiod shift in wildtype and phyB Arabidopsis.
TimeTraits is available in CRAN: https://cran.r-project.org/web/packages/TimeTraits.

PMID:
42689266
Bibliographic data and abstract were imported from PubMed on 03 Sep 2026.

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