EDBT 2026 Demo / reviewers in the wild / expert
Richard Virgen-Slane
dblp:441/6571
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2026
0000-0002-0011-3844ORCID · 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 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
omics data analysis |
1.0 | 1 | 2026 | Hotgenes: an R package for reducing bottlenecks in bulk omics data exploration and collaboration · Bioinform. 2026 |
Methods — techniques the papers use, named apart from their topics
shiny · 1.0r · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Hotgenes: an R package for reducing bottlenecks in bulk omics data exploration and collaborationabstractSUMMARY: A critical part of omics analysis is the transition from early data exploration to final interpretation, often including different analytical platforms and the proliferation of figures, tables, and files. To minimize potential errors and delays that can occur during this process, we have developed an R package called "Hotgenes" that contains a wide range of flexible utilities available in a single modular Shiny application. With Hotgenes, differential expression results generated from bulk omics platforms can be imported and shared among collaborators with minimal coding. Furthermore, the modular Hotgenes user interface can be customized by advanced users to fit the needs of their evolving pipelines. AVAILABILITY AND IMPLEMENTATION: Hotgenes is implemented in R and is freely available at https://github.com/pfizer-opensource/Open-Hotgenes. A permanent archived version is available at https://doi.org/10.5281/zenodo.20129460. Richard Virgen-Slane |
Bioinform. | 1 |