Biological Data Repository

Open Access

About BioDare

BioDare stands for Biological Data Repository, its main focus is data from circadian experiments.

Main features:

  • repository for experimental data accompanied by extensive metadata including details about environmental conditions and biological material used
  • rhythm analysis and period estimation using the six algorithms: FFT NLLS, MFourFit, MESA, ER Periodogram, LS Periodogram, Spectrum Resampling
  • generation of secondary data (normalized, detrended, averaged ...)
  • graphical output of data, secondary data and rhythm analysis
  • simple text-based search throughout metadata
  • biology and conditions aware search for data
  • data aggregation and export

We have developed the new version of our service: BioDare2.
All new users should try the new service as we no longer provide training for the classic BioDare.

Data usage

Many datasets in BioDare are available to the public, use the link on the left to access them.
Data that are made public are available under the Creative Commons Attribution License (CC-BY). Data uploaded to BioDare remains the intellectual property of the uploading laboratory. Management responsibility for the data remains with the laboratory.
If you want to run your own analysis you can use a demo account (credentials demo/demo).

How to cite BioDare

Please cite BioDare with its website ( and the two papers:

Zielinski T, Moore AM, Troup E, Halliday KJ, Millar AJ (2014)
Strengths and Limitations of Period Estimation Methods for Circadian Data.
PLoS ONE 9(5): e96462. doi:10.1371/journal.pone.0096462 link

Moore A, Zielinski T, Millar AJ (2014)
Online period estimation and determination of rhythmicity in circadian data. Using the BioDare data infrastructure.
Methods in Molecular Biology, 1158 p:13-44. doi: 10.1007/978-1-4939-0700-7_2 link


BioDare development was funded by the BBSRC and EPSRC systems biology projects ROBuST (award BB/F005237) and SynthSys (award BB/D019621), and it is currently being continued under the EU FP7 Integrated Project TiMet (award 245143).