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Nucleic Acids Research Advance Access originally published online on October 16, 2007
Nucleic Acids Research 2008 36(Database issue):D854-D859; doi:10.1093/nar/gkm729
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Nucleic Acids Research, 2008, Vol. 36, Database issue D854-D859
© 2007 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

This article appears in the following Nucleic Acids Research issue: Database issue [View the issue table of contents]

Articles

Cyclebase.org—a comprehensive multi-organism online database of cell-cycle experiments

Nicholas Paul Gauthier1, Malene Erup Larsen1, Rasmus Wernersson1, Ulrik de Lichtenberg1, Lars Juhl Jensen2, Søren Brunak1,* and Thomas Skøt Jensen1

1Center for Biological Sequence Analysis, BioCentrum-DTU, Technical University of Denmark, Building 208, DK-2800 Lyngby, Denmark and 2European Molecular Biology Laboratory, Meyerhofstrasse 1, D-69117 Heidelberg, Germany

*To whom correspondence should be addressed. Tel: +011 45 45 25 24 77; Fax: +011 45 45 93 1585; Email: brunak{at}cbs.dtu.dk

Received August 15, 2007. Accepted September 1, 2007.

The past decade has seen the publication of a large number of cell-cycle microarray studies and many more are in the pipeline. However, data from these experiments are not easy to access, combine and evaluate. We have developed a centralized database with an easy-to-use interface, Cyclebase.org, for viewing and downloading these data. The user interface facilitates searches for genes of interest as well as downloads of genome-wide results. Individual genes are displayed with graphs of expression profiles throughout the cell cycle from all available experiments. These expression profiles are normalized to a common timescale to enable inspection of the combined experimental evidence. Furthermore, state-of-the-art computational analyses provide key information on both individual experiments and combined datasets such as whether or not a gene is periodically expressed and, if so, the time of peak expression. Cyclebase is available at http://www.cyclebase.org.

Present address: Ulrik de Lichtenberg, LEO Pharma, Industriparken 55, DK-2750 Ballerup, Denmark.


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