Period estimation and rhythm detection in timeseries data using BioDare2, the free, online, community resource

Tomasz Zieliński, Johnny Hay, Andrew J Millar*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

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.

Original languageEnglish
Title of host publicationPlant Circadian Networks
Subtitle of host publicationMethods and Protocols
PublisherSpringer
Pages15-32
Number of pages18
Volume2398
ISBN (Electronic)978-1-0716-1912-4
ISBN (Print)978-1-0716-1911-7
DOIs
Publication statusE-pub ahead of print - 22 Oct 2021

Publication series

NameMethods in molecular biology (Clifton, N.J.)
PublisherHumana Press
ISSN (Print)1064-3745

Keywords

  • circadian rhythms
  • biological clocks
  • research data management
  • period analysis
  • rhythmicity
  • data repository
  • data sharing
  • metadata

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