Nucleic Acids Research Advance Access originally published online on November 7, 2006
Nucleic Acids Research 2007 35(Database issue):D756-D759; doi:10.1093/nar/gkl798
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Nucleic Acids Research, 2007, Vol. 35, Database issue D756-D759
© 2006 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.
Articles |
Gene Aging Nexus: a web database and data mining platform for microarray data on aging
1 Department of Biological Sciences, University of Southern California Los Angeles, CA 90089, USA 2 Andrus Gerontology Center, University of Southern California Los Angeles, CA 90089, USA
*To whom correspondence should be addressed. Tel: +1 213 740 1758; Fax: +1 213 740 0853; Email: cefinch{at}usc.edu
Received August 15, 2006. Revised September 20, 2006. Accepted October 2, 2006.
The recent development of microarray technology provided unprecedented opportunities to understand the genetic basis of aging. So far, many microarray studies have addressed aging-related expression patterns in multiple organisms and under different conditions. The number of relevant studies continues to increase rapidly. However, efficient exploitation of these vast data is frustrated by the lack of an integrated data mining platform or other unifying bioinformatic resource to enable convenient cross-laboratory searches of array signals. To facilitate the integrative analysis of microarray data on aging, we developed a web database and analysis platform ‘Gene Aging Nexus’ (GAN) that is freely accessible to the research community to query/analyze/visualize cross-platform and cross-species microarray data on aging. By providing the possibility of integrative microarray analysis, GAN should be useful in building the systems-biology understanding of aging. GAN is accessible at http://gan.usc.edu.
The authors wish it to be known that, in their opinion, the first three authors should be regarded as joint First Authors
*Correspondence may also be addressed to Xianghong Jasmine Zhou. Tel: +1 213 740 7055; Fax: +1 213 740 2409; Email: xjzhou{at}usc.edu
CiteULike 
Connotea 
Del.icio.us What's this?
This article has been cited by other articles:
|
|
 |
|
  J. P. de Magalhaes, J. Curado, and G. M. Church Meta-analysis of age-related gene expression profiles identifies common signatures of aging Bioinformatics, April 1, 2009; 25(7): 875 - 881. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 L. French and P. Pavlidis Informatics in neuroscience Brief Bioinform, November 1, 2007; 8(6): 446 - 456. [Abstract] [Full Text] [PDF]
|
|