Department of Computer Science, University of California, Irvine, CA 92617, USA.
Institute for Genomics and Bioinformatics, University of California, Irvine, CA 92617, USA.
Nucleic Acids Res. 2018 Jul 2;46(W1):W157-W162. doi: 10.1093/nar/gky441.
Circadian rhythms play a fundamental role at all levels of biological organization. Understanding the mechanisms and implications of circadian oscillations continues to be the focus of intense research. However, there has been no comprehensive and integrated way for accessing and mining all circadian omic datasets. The latest release of CircadiOmics (http://circadiomics.ics.uci.edu) fills this gap for providing the most comprehensive web server for studying circadian data. The newly updated version contains high-throughput 227 omic datasets corresponding to over 74 million measurements sampled over 24 h cycles. Users can visualize and compare oscillatory trajectories across species, tissues and conditions. Periodicity statistics (e.g. period, amplitude, phase, P-value, q-value etc.) obtained from BIO_CYCLE and other methods are provided for all samples in the repository and can easily be downloaded in the form of publication-ready figures and tables. New features and substantial improvements in performance and data volume make CircadiOmics a powerful web portal for integrated analysis of circadian omic data.
昼夜节律在生物组织的各个层次上都起着至关重要的作用。理解昼夜节律波动的机制和影响仍然是密集研究的焦点。然而，目前还没有一种全面的、集成的方法来访问和挖掘所有的昼夜节律组学数据集。CircadiOmics（http://circadiomics.ics.uci.edu）的最新版本填补了这一空白，为研究昼夜节律数据提供了最全面的网络服务器。新版本包含高通量的 227 个组学数据集，对应于超过 7400 万个 24 小时周期采样的测量值。用户可以跨物种、组织和条件可视化和比较振荡轨迹。从 BIO_CYCLE 和其他方法获得的周期性统计数据（例如周期、振幅、相位、P 值、q 值等）提供了存储库中所有样本的信息，并可以轻松地以可发表的图形和表格形式下载。新的功能和性能以及数据量的显著提高，使 CircadiOmics 成为一个功能强大的网络门户，用于昼夜节律组学数据的综合分析。
