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Bioinformatics Advance Access originally published online on December 8, 2005
Bioinformatics 2006 22(5):630-631; doi:10.1093/bioinformatics/bti814
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© The Author 2005. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

VIS-O-BAC: exploratory visualization of functional genome studies from bacteria

Guido Dieterich , Uwe Kärst , Jürgen Wehland and Lothar Jänsch *

Department of Cell Biology, Research Centre for Biotechnology (GBF) Mascheroder Weg 1, 38124 Braunschweig, Germany

*To whom correspondence should be addressed.

Summary: The visualization-aided exploration of complex datasets will allow the research community to formulate novel functional hypotheses leading to a better understanding of biological processes at all levels. Therefore, we have developed a web resource termed VIS-O-BAC designed for the functional investigation of expression data for model systems, such as bacterial pathogens based on a graphical display. Genome-scale datasets derived from typical ‘omic’ approaches can directly be explored with respect to three biologically relevant aspects, the genome structure (operon organization), the organization of genes in pathways (KEGG) and the gene function with Gene Ontology (GO) terms. The integrated viewers can be used in parallel and combine expression data and functional annotations from different external data repositories. The graphical visualizations evidently accelerate both the validation of regulatory information and the detection of affected biological processes.

Availability: http://leger2.gbf.de/cgi-bin/vis-o-bac.pl

Contact: lja{at}gbf.de

Supplementary information: Supplementary data are available at Bioinformatics online.

Received on September 22, 2005; revised on November 15, 2005; accepted on December 1, 2005

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