BMC Genomics Database angaGEDUCI: Anopheles gambiae gene expression database with integrated comparative algorithms for identifying conserved DNA motifs in promoter sequences Sumudu N Dissanayake1, Osvaldo Marinotti1, Jose Marcos C Ribeiro2 and Anthony A James*1,3 BioMed Central Open Access Address: 1Department of Molecular Biology and Biochemistry, University of California, Irvine, CA 92697, USA, 2Laboratory of Malaria and Vector Research, National Institutes of Health (NIH/NIAID), Rockville, MD 20852, USA and 3Department of Microbiology and Molecular Genetics, University of California, Irvine, CA 92697, USA Email: Sumudu N Dissanayake - sdissana@uci.edu; Osvaldo Marinotti - omarinot@uci.edu; Jose Marcos C Ribeiro - jribeiro@niaid.nih.gov; Anthony A James* - aajames@uci.edu * Corresponding author Published: 17 May 2006 BMC Genomics 2006, 7:116 doi:10.1186/1471-2164-7-116 This article is available from: http://www.biomedcentral.com/1471-2164/7/116 Received: 12 January 2006 Accepted: 17 May 2006 © 2006 Dissanayake et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract Background: The completed sequence of the Anopheles gambiae genome has enabled genome- wide analyses of gene expression and regulation in this principal vector of human malaria. These investigations have created a demand for efficient methods of cataloguing and analyzing the large quantities of data that have been produced. The organization of genome-wide data into one unified database makes possible the efficient identification of spatial and temporal patterns of gene expression, and by pairing these findings with comparative algorithms, may offer a tool to gain insight into the molecular mechanisms that regulate these expression patterns. Description: We provide a publicly-accessible database and integrated data-mining tool, angaGEDUCI, that unifies 1) stage- and tissue-specific microarray analyses of gene expression in An. gambiae at different developmental stages and temporal separations following a bloodmeal, 2) functional gene annotation, 3) genomic sequence data, and 4) promoter sequence comparison algorithms. The database can be used to study genes expressed in particular stages, tissues, and patterns of interest, and to identify conserved promoter sequence motifs that may play a role in the regulation of such expression. The database is accessible from the address http:// www.angaged.bio.uci.edu. Conclusion: By combining gene expression, function, and sequence data with integrated sequence comparison algorithms, angaGEDUCI streamlines spatial and temporal pattern-finding and produces a straightforward means of developing predictions and designing experiments to assess how gene expression may be controlled at the molecular level. Background The sequenced genome of the principal vector of human malaria parasites in subSaharan Africa, Anopheles gambiae [1], has raised expectations for the development of new and unexpected ways to manage or manipulate vector populations to control disease transmission [2]. As part of Page 1 of 11 (page number not for citation purposes)