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Xavier Grau-Bové

dblp:430/1036 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
0000-0003-1978-5824ORCID · reported

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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › single-cell analysis › single-cell RNA sequencing
single-cell RNA-seq analysis
1.012026
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
0.312026
GeneExt: a gene model extension tool for enhanced single-cell RNA-seq analysis · Bioinform. 2026
Bioinformatics and computational biology
transcriptomics
0.312026
GeneExt: a gene model extension tool for enhanced single-cell RNA-seq analysis · Bioinform. 2026
YearPublicationVenuePosition
2026 GeneExt: a gene model extension tool for enhanced single-cell RNA-seq analysis
abstract
MOTIVATION: 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.2