Journal Article

WAVECLOCK: wavelet analysis of circadian oscillation

Tom S. Price, Julie E. Baggs, Anne M. Curtis, Garret A. FitzGerald and John B. Hogenesch

in Bioinformatics

Volume 24, issue 23, pages 2794-2795
Published in print December 2008 | ISSN: 1367-4803
Published online October 2008 | e-ISSN: 1460-2059 | DOI: http://dx.doi.org/10.1093/bioinformatics/btn521
WAVECLOCK: wavelet analysis of circadian oscillation

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Summary: Oscillations in mRNA and protein of circadian clock components can be continuously monitored in vitro using synchronized cell lines. These rhythms can be highly variable due to culture conditions and are non-stationary due to baseline trends, damping and drift in period length. We present a technique for characterizing the modal frequencies of oscillation using continuous wavelet decomposition to non-parametrically model changes in amplitude and period while removing baseline effects and noise.

Availability: The method has been implemented as the package waveclock for the free statistical software program R and is available for download from http://cran.r-project.org/

Contact: thomas.price@iop.kcl.ac.uk

Supplementary information: Supplementary figures are available at Bioinformatics online.

Journal Article.  1608 words. 

Subjects: Bioinformatics and Computational Biology

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