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Comparative and Functional Genomics
Volume 2012 (2012), Article ID 650842, 10 pages
http://dx.doi.org/10.1155/2012/650842
Research Article

ArraySearch: A Web-Based Genomic Search Engine

Department of Mathematics and Statistics, South Dakota State University, P.O. Box 2220, Brookings, SD 57007, USA

Received 9 August 2011; Revised 24 November 2011; Accepted 28 November 2011

Academic Editor: Ian Dunham

Copyright © 2012 Tyler J. Wilson and Steven X. Ge. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Recent advances in microarray technologies have resulted in a flood of genomics data. This large body of accumulated data could be used as a knowledge base to help researchers interpret new experimental data. ArraySearch finds statistical correlations between newly observed gene expression profiles and the huge source of well-characterized expression signatures deposited in the public domain. A search query of a list of genes will return experiments on which the genes are significantly up- or downregulated collectively. Searches can also be conducted using gene expression signatures from new experiments. This resource will empower biological researchers with a statistical method to explore expression data from their own research by comparing it with expression signatures from a large public archive.