Demo Data from VLDB 2026 / reviewers in the wild / expert
Tzipi Braun
dblp:242/5213
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2019
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 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 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › molecular evolution
viral evolution |
0.4 | 1 | 2019 | Long-term context-dependent genetic adaptation of the viral genetic cloud · Bioinform. 2019 |
Methods — techniques the papers use, named apart from their topics
experimental evolution · 0.4dinucleotide distribution analysis · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Long-term context-dependent genetic adaptation of the viral genetic cloudabstractMOTIVATION: RNA viruses generate a cloud of genetic variants within each host. This cloud contains high-frequency genotypes, and many rare variants. The dynamics of these variants is crucial to understand viral evolution and their effect on their host. RESULTS: We use an experimental evolution system to show that the genetic cloud surrounding the Coxsackie virus master sequence slowly, but steadily, evolves over hundreds of generations. This movement is determined by strong context-dependent mutations, where the frequency and type of mutations are affected by neighboring positions, even in silent mutations. This context-dependent mutation pattern serves as a spearhead for the viral population's movement within the adaptive landscape and affects which new dominant variants will emerge. The non-local mutation patterns affect the mutated dinucleotide distribution, and eventually lead to a non-uniform dinucleotide distribution in the main viral sequence. We tested these results on other RNA viruses with similar conclusions. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Tzipi Braun, Antonio V. Bordería, Cyril Barbezange, Marco Vignuzzi, Yoram Louzoun |
Bioinform. | 1 |