Demo Data from VLDB 2026 / reviewers in the wild / expert
Louise Ryan
dblp:216/2353
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2024
0000-0002-6876-677XORCID · 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 › genome annotation
gene annotation |
0.8 | 1 | 2024 | Sensommatic: an efficient pipeline to mine and predict sensory receptor genes in the era of reference-quality genomes · Bioinform. 2024 |
Bioinformatics and computational biology
genomics |
0.8 | 1 | 2024 | Sensommatic: an efficient pipeline to mine and predict sensory receptor genes in the era of reference-quality genomes · Bioinform. 2024 |
Bioinformatics and computational biology › sequence analysis › sequence assembly
whole genome assembly analysis |
0.2 | 1 | 2024 | Sensommatic: an efficient pipeline to mine and predict sensory receptor genes in the era of reference-quality genomes · Bioinform. 2024 |
Methods — techniques the papers use, named apart from their topics
BLAST · 0.8AUGUSTUS · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Sensommatic: an efficient pipeline to mine and predict sensory receptor genes in the era of reference-quality genomesabstractSUMMARY: Sensory receptor gene families have undergone extensive expansion and loss across vertebrate evolution, leading to significant variation in receptor counts between species. However, due to their species-specific nature, conventional reference-based annotation tools often underestimate the true number of sensory receptors in a given species. While there has been an exponential increase in the taxonomic diversity of publicly available genome assemblies in recent years, only ∼30% of vertebrate species on the NCBI database are currently annotated. To overcome these limitations, we developed 'Sensommatic', an automated and accessible sensory receptor annotation pipeline. Sensommatic implements BLAST and AUGUSTUS to mine and predict sensory receptor genes from whole genome assemblies, adopting a one-to-many gene mapping approach. While designed for vertebrates, Sensommatic can be extended to run on non-vertebrate species by generating customized reference files, making it a scalable and generalizable tool. AVAILABILITY AND IMPLEMENTATION: Source code and associated files are available at: https://github.com/GMHughes/Sensommatic. Louise Ryan, Colleen Lawless, Graham M. Hughes |
Bioinform. | 1 |