title: VIS-O-BAC: exploratory visualization of functional genome studies from bacteria.
abstract: 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.
  
  
  BACKGROUND
  http://leger2.gbf.de/cgi-bin/vis-o-bac.pl.
  
  
  BACKGROUND
  Supplementary data are available at Bioinformatics online.
authors.affiliation: Department of Cell Biology, Research Centre for Biotechnology (GBF), Mascheroder Weg 1, 38124 Braunschweig, Germany.
authors.forename: Guido
authors.initials: G
authors.lastname: Dieterich
authors.forename: Uwe
authors.initials: U
authors.lastname: Kärst
authors.forename: Jürgen
authors.initials: J
authors.lastname: Wehland
authors.forename: Lothar
authors.initials: L
authors.lastname: Jänsch
mesh_terms: D002874:Chromosome Mapping / Q000379:methods*; D003196:Computer Graphics; D003628:Database Management Systems; D030541:Databases, Genetic; D016680:Genome, Bacterial / Q000235:genetics*; D020407:Internet; D009862:Online Systems; D012984:Software; D014584:User-Computer Interface