Journal
BIOINFORMATICS
Volume 24, Issue 23, Pages 2794-2795Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btn521
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Funding
- National Institutes of Health [P50 HL81012, R01 NS054794, P50 HL70128, P01 HL62250, 1U54-RR- 023567, P50 MH074924-01]
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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.
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