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Nucleic Acids Research Advance Access originally published online on October 30, 2008
Nucleic Acids Research 2009 37(Database issue):D515-D519; doi:10.1093/nar/gkn844
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Nucleic Acids Research, 2009, Vol. 37, Database issue D515-D519
© 2008 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

dictyBase—a Dictyostelium bioinformatics resource update

Petra Fey1, Pascale Gaudet1, Tomaz Curk2, Blaz Zupan2,3, Eric M. Just1, Siddhartha Basu1, Sohel N. Merchant1, Yulia A. Bushmanova1, Gad Shaulsky3, Warren A. Kibbe1 and Rex L. Chisholm1,*

1dictyBase, Northwestern University Biomedical Informatics Center and Center for Genetic Medicine, Chicago, IL 60611, USA, 2Faculty of Computer and Information Science, University of Ljubljana, Slovenia and 3Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA

*To whom correspondence should be addressed. Tel: +1 312 503 2303; Fax: +1 312 503 5603; Email: r-chisholm{at}northwestern.edu

Correspondence may also be addressed to Pascale Gaudet. Tel: +1 312 503 2303; Fax: +1 312 503 5603; Email: pgaudet{at}northwestern.edu

Received September 10, 2008. Revised October 14, 2008. Accepted October 15, 2008.

dictyBase (http://dictybase.org) is the model organism database for Dictyostelium discoideum. It houses the complete genome sequence, ESTs and the entire body of literature relevant to Dictyostelium. This information is curated to provide accurate gene models and functional annotations, with the goal of fully annotating the genome. This dictyBase update describes the annotations and features implemented since 2006, including improved strain and phenotype representation, integration of predicted transcriptional regulatory elements, protein domain information, biochemical pathways, improved searching and a wiki tool that allows members of the research community to provide annotations.


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