Published: 5 April 2004 Genome Biology 2004, 5:R37 The electronic version of this article is the complete one and can be found online at Received: 15 January 2004 Revised: 26 February 2004 Accepted: 11 March 2004 reports © 2004 Baerends et al.; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and | Software Open Access Genome2D a visualization tool for the rapid analysis of bacterial transcriptome data Richard JS Baerends Wiep Klaas Smits Anne de Jong Leendert W Hamoen Jan Kok and Oscar P Kuipers Addresses Molecular Genetics Groningen Biomolecular Sciences and Biotechnology Institute University of Groningen Kerklaan 30 9751 NN Haren The Netherlands. Current address Sir William Dunn School of Pathology University of Oxford South Parks Road Oxford OX1 3RE UK. Correspondence Anne de Jong. E-mail Published 5 April 2004 Genome Biology 2004 5 R37 The electronic version of this article is the complete one and can be found online at http 2004 5 5 R37 Received 15 January 2004 Revised 26 February 2004 Accepted 11 March 2004 2004 Baerends et al. licensee BioMed Central Ltd. This is an Open Access article verbatim copying and redistribution of this article are permitted in all media for any purpose provided this notice is preserved along with the article s original URL. Abstract Genome2D is a Windows-based software tool for visualization of bacterial transcriptome and customized datasets on linear chromosome maps constructed from annotated genome sequences. Genome2D facilitates the analysis of transcriptome data by using different color ranges to depict differences in gene-expression levels on a genome map. Such output format enables visual inspection of the transcriptome data and will quickly reveal transcriptional units without prior knowledge of expression level cutoff values. The compiled version of Genome2D is freely available for academic or non-profit use from http molgen research . Rationale Current efforts in whole-genome sequencing have led to a rapidly increasing number of publicly available bacterial genome sequences 1 2 . Novel technologies such as genomewide transcriptional profiling using DNA microarrays enables the study of the transcriptional regulation of various processes in .
