Demo Data from VLDB 2026 / reviewers in the wild / expert
Yannis Nevers
dblp:236/0526
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021
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 |
0.9 | 1 | 2025 | Annotation matters: the effect of structural gene annotation on orthology inference · Bioinform. 2025 |
Bioinformatics and computational biology › genome annotation
gene annotation |
0.9 | 1 | 2025 | Annotation matters: the effect of structural gene annotation on orthology inference · Bioinform. 2025 |
Bioinformatics and computational biology › comparative genomics › orthology analysis
orthology inference |
0.9 | 1 | 2025 | Annotation matters: the effect of structural gene annotation on orthology inference · Bioinform. 2025 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Annotation matters: the effect of structural gene annotation on orthology inferenceabstractMOTIVATION: In silico gene annotation, the process of identifying the genes present in a genome, remains a challenging task. As genome assemblies rapidly increase, the corresponding gene models and repertoires often fall short in quality. Despite advances in annotation methods, a lack of community standards means that most published gene annotations result from ad hoc pipelines. As a result, only a few species have nearly complete and accurate gene models. This annotation quality is thought to affect downstream analyses, including orthology inference, often the first step of comparative genomics studies. RESULTS: We show that different annotation methods yield markedly distinct orthology inferences. We compared orthology assignments of gene models obtained by four prominent protein-coding gene model sources: the NCBI Eukaryotic Genome Annotation Pipeline, the Ensembl Gene Annotation System, the UniProt Reference Proteomes, and Augustus 3.4 (an ab initio pipeline). We observe significant discrepancies between sources, namely in the proportion of orthologous genes per genome, the completeness of Hierarchical Orthologous Groups, and the accuracy and recall of the predicted orthologs on a standard orthology benchmark. Silvia Prieto-Baños, Yannis Nevers, Adrian M. Altenhoff, Alex Warwick Vesztrocy, Christophe Dessimoz, Natasha M. Glover |
Bioinform. | 2 |