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CircadiOmics: integrating circadian genomics, transcriptomics, proteomics and metabolomics

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Figure 1: Data integration workflow.

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Acknowledgements

We thank J. Hayes for helping with the development and deployment of the web server. This work was supported by US National Institutes of Health (NIH) National Research Service Award F32 DK083881 (to K.E.-M.), NIH GM081634 and AG033888 (to P.S.-C.), Sirtris Pharmaceuticals SP-48984 (to P.S.-C.), National Science Foundation IIS-0513376 (to P.B.), NIH LM010235 (to P.B.) and NIH National Library of Medicine T15 LM07443 (to P.B.).

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Authors and Affiliations

  1. Department of Computer Science, University of California, Irvine (UCI), Irvine, California, USA

    Vishal R Patel & Pierre Baldi

  2. Institute for Genomics and Bioinformatics, UCI, Irvine, California, USA

    Vishal R Patel, Paolo Sassone-Corsi & Pierre Baldi

  3. Department of Biological Chemistry, UCI, Irvine, California, USA

    Kristin Eckel-Mahan, Paolo Sassone-Corsi & Pierre Baldi

  4. Center for Epigenetics and Metabolism, UCI, Irvine, California, USA

    Kristin Eckel-Mahan, Paolo Sassone-Corsi & Pierre Baldi

Authors
  1. Vishal R Patel
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  2. Kristin Eckel-Mahan
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  3. Paolo Sassone-Corsi
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  4. Pierre Baldi
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Corresponding authors

Correspondence to Paolo Sassone-Corsi or Pierre Baldi.

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The authors declare no competing financial interests.

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Supplementary Figures 1 and 2 and Supplementary Methods (PDF 689 kb)

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Patel, V., Eckel-Mahan, K., Sassone-Corsi, P. et al. CircadiOmics: integrating circadian genomics, transcriptomics, proteomics and metabolomics. Nat Methods 9, 772–773 (2012). https://doi.org/10.1038/nmeth.2111

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