WAVECLOCK: wavelet analysis of circadian oscillation
WAVECLOCK: wavelet analysis of circadian oscillation
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DOI：
10.1093/bioinformatics/btn521
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发表时间：
2008-12-01
期刊：
影响因子：
5.8
通讯作者：
Hogenesch, John B.
中科院分区：
文献类型：
--
作者：
Price, Tom S.;Baggs, Julie E.;Hogenesch, John B.
可以使用同步细胞系在体外连续监测生物钟成分的 mRNA 和蛋白质的振荡。这些节律可能因培养条件而变化很大，并且由于基线趋势、周期长度的衰减和漂移而不稳定。我们提出了一种使用连续小波分解来表征振荡模态频率的技术，以非参数化方式模拟振幅和周期的变化，同时消除基线效应和噪声。可用性：该方法已作为免费统计软件程序 R 的波钟包实现，可从 http://cran.r-project.org/Contact: thomas.price@iop.kcl.ac.uk 下载。补充信息：补充数据可在 Bioinformatics 在线获取。
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.ukSupplementary information: Supplementary figures are available at Bioinformatics online.