EDBT 2026 Demo / reviewers in the wild / expert
Grygoriy Zolotarov
dblp:387/8585
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2026
0000-0002-3971-3070ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 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 › single-cell analysis › single-cell RNA sequencing
single-cell RNA-seq analysis |
1.0 | 1 | 2026 | GeneExt: a gene model extension tool for enhanced single-cell RNA-seq analysis · Bioinform. 2026 |
Bioinformatics and computational biology › gene expression analysis
gene expression quantification |
0.3 | 1 | 2026 | GeneExt: a gene model extension tool for enhanced single-cell RNA-seq analysis · Bioinform. 2026 |
Bioinformatics and computational biology
transcriptomics |
0.3 | 1 | 2026 | GeneExt: a gene model extension tool for enhanced single-cell RNA-seq analysis · Bioinform. 2026 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | GeneExt: a gene model extension tool for enhanced single-cell RNA-seq analysisabstractMOTIVATION: Incomplete gene models negatively impact single-cell gene expression quantification. This is particularly true in non-model species where often gene 3' ends are inaccurately annotated, while most scRNA-seq methods only capture the 3' transcript region. This results in many genes being incorrectly quantified or not detected. RESULTS: GeneExt leverages scRNA-seq data to refine gene annotations. We exemplify GeneExt usage and its impact on the gene expression quantification of eight non-model organism single-cell atlases. By extending and homogenizing gene annotations, our tool will help improve biological interpretation and cross-species comparisons of cell type expression atlases. AVAILABILITY: GeneExt is available at https://github.com/sebepedroslab/GeneExt (DOI: https://doi.org/10.5281/zenodo.18712940) under a GNU General Public license, together with test data and usage instructions. Grygoriy Zolotarov, Xavier Grau-Bové, Arnau Sebé-Pedrós |
Bioinform. | 1 |