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

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ID: 324659
2026
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Abstract
Abstract Motivation 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. Results 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. Availability and implementation TimeTraits is available in CRAN: https://cran.r-project.org/web/packages/TimeTraits
Reference Key
openalex_W7202209366 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Sarah C L Lock, Marina I. Knight, Seth J Davis, Daphne Ezer
Journal Bioinformatics advances
Year 2026
DOI
10.1093/bioadv/vbag226
URL
https://doi.org/10.1093/bioadv/vbag226
Keywords Keywords not found

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