Citations: 2

z-index: 1

Basic information
Short name CGDB
Full name Circadian Gene DataBase
Description The CGDB is an online resource containing over 72,800 genes in more than 148 organisms that exhibit (or may exhibit) daily oscillation at the transcript level.
Year founded 2016
Last update & version 2016-06-01 v1.0
Accessibility Accessible
Contact information

The contact information is provided to facilitate update of database information, and it is curated based on the contact details in the database or the related publications. To ensure effective contact with database constructors, we give priority to the contact details in the database.

University/Institution Huazhong University of Science and Technology
Address No. 1037, Luoyu Road
City Wuhan
Province/State Hubei
Country/Region China
Contact name (PI/Team) Yu Xue
Contact email (PI/Helpdesk)
Data information
Data object
Data type
Database category
Major organism
  • CGDB: a database of circadian genes in eukaryotes. [PMID: 27789706]
    Shujing Li, Ke Shui, Ying Zhang, Yongqiang Lv, Wankun Deng, Shahid Ullah, Luoying Zhang, Yu Xue

    We report a database of circadian genes in eukaryotes (CGDB,, containing ?73 000 circadian-related genes in 68 animals, 39 plants and 41 fungi. Circadian rhythm is ?24 h rhythm in behavioral and physiological processes that exists in almost all organisms on the earth. Defects in the circadian system are highly associated with a number of diseases such as cancers. Although several databases have been established for rhythmically expressed genes, a comprehensive database of cycling genes across phyla is still lacking. From the literature, we collected 1382 genes of which transcript level oscillations were validated using methods such as RT-PCR, northern blot and in situ hybridization. Given that many genes exhibit different oscillatory patterns in different tissues/cells within an organism, we have included information regarding the phase and amplitude of the oscillation, as well as the tissue/cells in which the oscillation was identified. Using these well characterized cycling genes, we have then conducted an orthologous search and identified ?45 000 potential cycling genes from 148 eukaryotes. Given that significant effort has been devoted to identifying cycling genes by transcriptome profiling, we have also incorporated these results, a total of over 26 000 genes, into our database. © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research.

    Nucleic Acids Res 2017:45(D1)

    2 Citations (from Europe PMC, 2019-08-03)


  • Ranking in all databases: No. 3052
  • Ranking in category/categories:
The box plots depict Z-index distribution for all databases in Database Commons and for specific database category/categories. The red line indicates log2(Z-index) of CGDB.

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Record metadata

  • Created on: 2017-02-15
    • ***shx@*** [2017-02-15]

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