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Bioinformatics Advance Access published online on December 8, 2005
Bioinformatics, 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
Received September 22, 2005
Revised November 15, 2005
Accepted December 1, 2005

Applications note

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

Guido Dieterich 1, Uwe Kärst 1, Jürgen Wehland 1, and Lothar Jänsch 1 *

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

* To whom correspondence should be addressed.
Lothar Jänsch, E-mail: lja{at}gbf.de


  Abstract

Summary: The visualization-aided exploration of complex data sets 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 regard to three biologically relevant aspects, the genome structure (operon organization), the organization of genes in pathways (KEGG) and the gene function with 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.


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