Published in

Oxford University Press (OUP), Bioinformatics, 23(24), p. 2794-2795

DOI: 10.1093/bioinformatics/btn521

Links

Tools

Export citation

Search in Google Scholar

WAVECLOCK: wavelet analysis of circadian oscillation

Journal article published in 2008 by Tom S. Price ORCID, Julie E. Baggs, Anne M. Curtis ORCID, Garret A. FitzGerald, John B. Hogenesch
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Upload
Green circle
Postprint: archiving allowed
Upload
Red circle
Published version: archiving forbidden
Policy details
Data provided by SHERPA/RoMEO

Abstract

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.