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Visualization of comparative genomic analyses by BLAST score ratio.


ABSTRACT: The first microbial genome sequence, Haemophilus influenzae, was published in 1995. Since then, more than 400 microbial genome sequences have been completed or commenced. This massive influx of data provides the opportunity to obtain biological insights through comparative genomics. However few tools are available for this scale of comparative analysis.The BLAST Score Ratio (BSR) approach, implemented in a Perl script, classifies all putative peptides within three genomes using a measure of similarity based on the ratio of BLAST scores. The output of the BSR analysis enables global visualization of the degree of proteome similarity between all three genomes. Additional output enables the genomic synteny (conserved gene order) between each genome pair to be assessed. Furthermore, we extend this synteny analysis by overlaying BSR data as a color dimension, enabling visualization of the degree of similarity of the peptides being compared.Combining the degree of similarity, synteny and annotation will allow rapid identification of conserved genomic regions as well as a number of common genomic rearrangements such as insertions, deletions and inversions. The script and example visualizations are available at: http://www.microbialgenomics.org/BSR/.

SUBMITTER: Rasko DA 

PROVIDER: S-EPMC545078 | biostudies-literature | 2005 Jan

REPOSITORIES: biostudies-literature

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Visualization of comparative genomic analyses by BLAST score ratio.

Rasko David A DA   Myers Garry S A GS   Ravel Jacques J  

BMC bioinformatics 20050105


<h4>Background</h4>The first microbial genome sequence, Haemophilus influenzae, was published in 1995. Since then, more than 400 microbial genome sequences have been completed or commenced. This massive influx of data provides the opportunity to obtain biological insights through comparative genomics. However few tools are available for this scale of comparative analysis.<h4>Results</h4>The BLAST Score Ratio (BSR) approach, implemented in a Perl script, classifies all putative peptides within th  ...[more]

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