©1996-2019. All Rights Reserved. Online Journal of Bioinformatics . You may not store these pages in any form except for your own personal use. All other usage or distribution is illegal under international copyright treaties. Permission to use any of these pages in any other way besides the  before mentioned must be gained in writing from the publisher. This article is exclusively copyrighted in its entirety to OJB publications. This article may be copied once but may not be, reproduced or  re-transmitted without the express permission of the editors. This journal satisfies the refereeing requirements (DEST) for the Higher Education Research Data Collection (Australia). Linking:To link to this page or any pages linking to this page you must link directly to this page only here rather than put up your own page.


 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




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. Onl J Bioinform., 10 (2): 201-217, 2009As 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


Keywords: deletion, mutation, genome editor, visualization.