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WAVECLOCK: wavelet analysis of circadian oscillation.
Price, Tom S; Baggs, Julie E; Curtis, Anne M; Fitzgerald, Garret A; Hogenesch, John B.
Afiliación
  • Price TS; Institute of Psychiatry, Kings College London. thomas.price@iop.kcl.ac.uk
Bioinformatics ; 24(23): 2794-5, 2008 Dec 01.
Article en En | MEDLINE | ID: mdl-18931366
ABSTRACT
UNLABELLED 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/
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ritmo Circadiano / Biología Computacional Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2008 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ritmo Circadiano / Biología Computacional Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2008 Tipo del documento: Article
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