Demo Data from EDBT 2026 / reviewers in the wild / expert
Claude-Alain H. Roten
dblp:36/2593
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1
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
comparative genomics |
0.1 | 1 | 2006 | Describing ancient horizontal gene transfers at the nucleotide and gene levels by comparative pathogenicity island genometrics · Bioinform. 2006 |
Bioinformatics and computational biology › molecular evolution
horizontal gene transfer |
0.1 | 1 | 2006 | Describing ancient horizontal gene transfers at the nucleotide and gene levels by comparative pathogenicity island genometrics · Bioinform. 2006 |
Bioinformatics and computational biology › molecular evolution
codon usage analysis |
0.0 | 1 | 2006 | Describing ancient horizontal gene transfers at the nucleotide and gene levels by comparative pathogenicity island genometrics · Bioinform. 2006 |
Methods — techniques the papers use, named apart from their topics
genometrics · 0.1gene order comparison · 0.1dinucleotide usage analysis · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | Describing ancient horizontal gene transfers at the nucleotide and gene levels by comparative pathogenicity island genometricsabstractMOTIVATION: Lateral gene transfer is a major mechanism contributing to bacterial genome dynamics and pathovar emergence via pathogenicity island (PAI) spreading. However, since few of these genomic exchanges are experimentally reproducible, it is difficult to establish evolutionary scenarios for the successive PAI transmissions between bacterial genera. Methods initially developed at the gene and/or nucleotide level for genomics, i.e. comparisons of concatenated sequences, ortholog frequency, gene order or dinucleotide usage, were combined and applied here to homologous PAIs: we call this approach comparative PAI genometrics. RESULTS: YAPI, a Yersinia PAI, and related islands were compared with measure evolutionary relationships between related modules. Through use of our genometric approach designed for tracking codon usage adaptation and gene phylogeny, an ancient inter-genus PAI transfer was oriented for the first time by characterizing the genomic environment in which the ancestral island emerged and its subsequent transfers to other bacterial genera. F. Collyn, Lionel Guy, M. Marceau, M. Simonet, Claude-Alain H. Roten |
Bioinform. | 5 |