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GenomeViz: visualizing microbial genomes

BACKGROUND: An increasing number of microbial genomes are being sequenced and deposited in public databases. In addition, several closely related strains are also being sequenced in order to understand the genetic basis of diversity and mechanisms that lead to the acquisition of new genetic traits....

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Detalles Bibliográficos
Autores principales: Ghai, Rohit, Hain, Torsten, Chakraborty, Trinad
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2004
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC544189/
https://www.ncbi.nlm.nih.gov/pubmed/15601465
http://dx.doi.org/10.1186/1471-2105-5-198
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author Ghai, Rohit
Hain, Torsten
Chakraborty, Trinad
author_facet Ghai, Rohit
Hain, Torsten
Chakraborty, Trinad
author_sort Ghai, Rohit
collection PubMed
description BACKGROUND: An increasing number of microbial genomes are being sequenced and deposited in public databases. In addition, several closely related strains are also being sequenced in order to understand the genetic basis of diversity and mechanisms that lead to the acquisition of new genetic traits. These exercises have necessitated the requirement for visualizing microbial genomes and performing genome comparisons on a finer scale. We have developed GenomeViz to enable rapid visualization and subsequent comparisons of several microbial genomes in an interactive environment. RESULTS: Here we describe a program that allows visualization of both qualitative and quantitative information from complete and partially sequenced microbial genomes. Using GenomeViz, data deriving from studies on genomic islands, gene/protein classifications, GC content, GC skew, whole genome alignments, microarrays and proteomics may be plotted. Several genomes can be visualized interactively at the same time from a comparative genomic perspective and publication quality circular genome plots can be created. CONCLUSIONS: GenomeViz should allow researchers to perform visualization and comparative analysis of up to eight different microbial genomes simultaneously.
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spelling pubmed-5441892005-01-13 GenomeViz: visualizing microbial genomes Ghai, Rohit Hain, Torsten Chakraborty, Trinad BMC Bioinformatics Software BACKGROUND: An increasing number of microbial genomes are being sequenced and deposited in public databases. In addition, several closely related strains are also being sequenced in order to understand the genetic basis of diversity and mechanisms that lead to the acquisition of new genetic traits. These exercises have necessitated the requirement for visualizing microbial genomes and performing genome comparisons on a finer scale. We have developed GenomeViz to enable rapid visualization and subsequent comparisons of several microbial genomes in an interactive environment. RESULTS: Here we describe a program that allows visualization of both qualitative and quantitative information from complete and partially sequenced microbial genomes. Using GenomeViz, data deriving from studies on genomic islands, gene/protein classifications, GC content, GC skew, whole genome alignments, microarrays and proteomics may be plotted. Several genomes can be visualized interactively at the same time from a comparative genomic perspective and publication quality circular genome plots can be created. CONCLUSIONS: GenomeViz should allow researchers to perform visualization and comparative analysis of up to eight different microbial genomes simultaneously. BioMed Central 2004-12-15 /pmc/articles/PMC544189/ /pubmed/15601465 http://dx.doi.org/10.1186/1471-2105-5-198 Text en Copyright © 2004 Ghai et al; licensee BioMed Central Ltd.
spellingShingle Software
Ghai, Rohit
Hain, Torsten
Chakraborty, Trinad
GenomeViz: visualizing microbial genomes
title GenomeViz: visualizing microbial genomes
title_full GenomeViz: visualizing microbial genomes
title_fullStr GenomeViz: visualizing microbial genomes
title_full_unstemmed GenomeViz: visualizing microbial genomes
title_short GenomeViz: visualizing microbial genomes
title_sort genomeviz: visualizing microbial genomes
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC544189/
https://www.ncbi.nlm.nih.gov/pubmed/15601465
http://dx.doi.org/10.1186/1471-2105-5-198
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