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OJBTM

 Online Journal of Bioinformatics © 

 Volume 10 (2): 201-217, 2009. 

GENOVA: A rapid genome visualization and functional genomics software

 

Chunguang Liang1*, Christiane Wolz2, Silvia Herbert3, Jörg Bernhardt4, Susanne Engelmann4,

Michael Hecker4, Friedrich Götz3 and Thomas Dandekar1,5*  

 

1 Department of Bioinformatics, University of Würzburg Am Hubland, D-97074 Würzburg Germany. 2 Institute of Medical microbiology and Hygiene, Clinical University of Tübingen, Tübingen, D-72076 Germany. 3 Department of Microbial Genetics, University of Tübingen, Tübingen, D-72076 Germany. 4 Institute of Microbiology, University of Greifswald, Greifswald, D-17487 Germany. 5 EMBL, Postbox 102209, Heidelberg, D-69012 Germany.  *Corresponding  authors

ABSTRACT

 

Liang C, Wolz C, Herbert S, Bernhardt J, Engelmann S, Hecker M, Götz F, Dandekar T., GENOVA: A rapid genome vizualization and functional genomics software. Online J Bioinformatics, 10 (2): 201-217, 2009.  As genomic sequences become publicly available, software to analyze, categorize and manipulate genome information allows to better exploit this information as well as, to plan experiments in functional genomics. GENOVA is a workbench for genome annotation, simulation of genetic experiments and classification of different genes. It supports functional genomic and annotation efforts (e.g. vaccinia virus, Staphylococci, Blattabacteria). Outputs are interactively illustrated on a genome canvas with a graphical user interface, as well as exported as high-quality image files or function reports and listings. Advantages are demonstrated for a complex strain selection and design scenario where ultimately Staphylococcus aureus COL provided the optimal non pathogenic strain and RN1HG the model pathogenic strain. Software and supplementary material are accessible at

http://genova.bioapps.biozentrum.uni-wuerzburg.de.

 

Keywords: deletion, mutation, genome editor, visualization

 

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