Demo Data from EDBT 2026 / reviewers in the wild / expert
David A. Rasko
dblp:07/2734
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2014
0000-0002-7337-7154ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › genomics › genome visualization
circular genome visualization |
0.2 | 1 | 2014 | Circleator: flexible circular visualization of genome-associated data with BioPerl and SVG · Bioinform. 2014 |
Bioinformatics and computational biology › genomics
genome visualization |
0.2 | 1 | 2014 | Circleator: flexible circular visualization of genome-associated data with BioPerl and SVG · Bioinform. 2014 |
Bioinformatics and computational biology
genome annotation |
0.1 | 1 | 2014 | Circleator: flexible circular visualization of genome-associated data with BioPerl and SVG · Bioinform. 2014 |
Methods — techniques the papers use, named apart from their topics
bioperl · 0.2SVG · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Circleator: flexible circular visualization of genome-associated data with BioPerl and SVGabstractSUMMARY: Circleator is a Perl application that generates circular figures of genome-associated data. It leverages BioPerl to support standard annotation and sequence file formats and produces publication-quality SVG output. It is designed to be both flexible and easy to use. It includes a library of circular track types and predefined configuration files for common use-cases, including. (i) visualizing gene annotation and DNA sequence data from a GenBank flat file, (ii) displaying patterns of gene conservation in related microbial strains, (iii) showing Single Nucleotide Polymorphisms (SNPs) and indels relative to a reference genome and gene set and (iv) viewing RNA-Seq plots. AVAILABILITY AND IMPLEMENTATION: Circleator is freely available under the Artistic License 2.0 from http://jonathancrabtree.github.io/Circleator/ and is integrated with the CloVR cloud-based sequence analysis Virtual Machine (VM), which can be downloaded from http://clovr.org or run on Amazon EC2. Jonathan Crabtree, Sonia Agrawal, Anup Mahurkar, Garry S. A. Myers, David A. Rasko, Owen White |
Bioinform. | 5 |
| 2005 | Visualization of comparative genomic analyses by BLAST score ratioabstractBACKGROUND: 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. RESULTS: 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. CONCLUSIONS: 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/. David A. Rasko, Garry S. A. Myers, Jacques Ravel |
BMC Bioinform. | 1 |