Period Estimation and Rhythm Detection in Timeseries Data Using BioDare2, the Free, Online, Community Resource

Tomasz Zieliński; Johnny Hay; Andrew J Millar

doi:10.1007/978-1-0716-1912-4_2

Period Estimation and Rhythm Detection in Timeseries Data Using BioDare2, the Free, Online, Community Resource

Methods Mol Biol. 2022:2398:15-32. doi: 10.1007/978-1-0716-1912-4_2.

Authors

Tomasz Zieliński¹, Johnny Hay², Andrew J Millar³

Affiliations

¹ SynthSys and School of Biological Sciences, C. H. Waddington Building, University of Edinburgh, Edinburgh, UK.
² EPCC, University of Edinburgh, Edinburgh, UK.
³ SynthSys and School of Biological Sciences, C. H. Waddington Building, University of Edinburgh, Edinburgh, UK. andrew.millar@ed.ac.uk.

PMID: 34674164
DOI: 10.1007/978-1-0716-1912-4_2

Abstract

One of the key objectives of data analysis in circadian research is to quantify the rhythmic properties of the experimental data. BioDare2 is a free, online service which provides fast timeseries analysis, attractive visualizations, and data sharing. This chapter outlines the description of an experiment for BioDare2 and how to upload and analyze the numerical timeseries data.

Keywords: Biological clocks; Circadian rhythms; Data repository; Data sharing; Metadata; Period analysis; Research data management; Rhythmicity.

Period Estimation and Rhythm Detection in Timeseries Data Using BioDare2, the Free, Online, Community Resource

Authors

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Abstract

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