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Nucleic Acids Research 2006 34(Database Issue):D428-D431; doi:10.1093/nar/gkj108
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Nucleic Acids Research, 2006, Vol. 34, Database issue D428-D431
© The Author 2006. Published by Oxford University Press. All rights reserved
The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article for non-commercial purposes provided that: the original authorship is properly and fully attributed; the Journal and Oxford University Press are attributed as the original place of publication with the correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated. For commercial re-use, please contact journals.permissions{at}oxfordjournals.org

Article

TcruziDB: an integrated, post-genomics community resource for Trypanosoma cruzi

Fernán Agüero, Wenlong Zheng1, D. Brent Weatherly1, Pablo Mendes2 and Jessica C. Kissinger1,3,*

Instituto de Investigaciones Biotecnológicas, Universidad de San Martín San Martín, B 1650 KNA, Buenos Aires, Argentina 1Center for Tropical and Emerging Global Diseases, University of Georgia Athens, GA 30602-2606, USA 2Department of Computer Science, University of Georgia GA, USA 3Department of Genetics, University of Georgia Athens, GA 30602-7223, USA

*To whom correspondence should be addressed. Tel: +1 706 542 6562; Fax: +1 706 542 3910; Email: jkissing{at}uga.edu.

Received September 15, 2005. Revised October 17, 2005. Accepted October 17, 2005.

TcruziDB (http://TcruziDB.org) is an integrated post-genomics database for the parasitic organism, Trypanosoma cruzi, the causative agent of Chagas' disease. TcruziDB was established in 2003 as a flat-file database with tools for mining the unannotated sequence reads and preliminary contig assemblies emerging from the Tri-Tryp genome consortium (TIGR/SBRI/Karolinska). Today, TcruziDB houses the recently published assembled genomic contigs and annotation provided by the genome consortium in a relational database supported by the Genomics Unified Schema (GUS) architecture. The combination of an annotated genome and a relational architecture has facilitated the integration of genomic data with expression data (proteomic and EST) and permitted the construction of automated analysis pipelines. TcruziDB has accepted, and will continue to accept the deposition of genomic and functional genomic datasets contributed by the research community.


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