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Bioinformatics. 2008 Dec 1;24(23):2794-5. doi: 10.1093/bioinformatics/btn521. Epub 2008 Oct 17.

WAVECLOCK: wavelet analysis of circadian oscillation.

Author information

1
Institute of Psychiatry, Kings College London. thomas.price@iop.kcl.ac.uk

Abstract

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/

PMID:
18931366
PMCID:
PMC2639275
DOI:
10.1093/bioinformatics/btn521
[Indexed for MEDLINE]
Free PMC Article

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