EDBT 2026 Demo / reviewers in the wild / expert
Nathaniel S. Devoss
dblp:370/4738
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
0000-0003-0465-2770ORCID · 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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › transcriptomics
transcriptome comparison |
0.7 | 1 | 2023 | CoSIA: an R Bioconductor package for CrOss Species Investigation and Analysis · Bioinform. 2023 |
Bioinformatics and computational biology
RNA sequencing |
0.2 | 1 | 2023 | CoSIA: an R Bioconductor package for CrOss Species Investigation and Analysis · Bioinform. 2023 |
Bioinformatics and computational biology › gene expression analysis › gene expression pattern analysis
tissue-specific gene expression |
0.2 | 1 | 2023 | CoSIA: an R Bioconductor package for CrOss Species Investigation and Analysis · Bioinform. 2023 |
Methods — techniques the papers use, named apart from their topics
visualization · 0.7variability metrics · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | CoSIA: an R Bioconductor package for CrOss Species Investigation and AnalysisabstractSUMMARY: High-throughput sequencing technologies have enabled cross-species comparative transcriptomic studies; however, there are numerous challenges for these studies due to biological and technical factors. We developed CoSIA (Cross-Species Investigation and Analysis), a Bioconductor R package and Shiny app that provides an alternative framework for cross-species transcriptomic comparison of non-diseased wild-type RNA sequencing gene expression data from Bgee across tissues and species (human, mouse, rat, zebrafish, fly, and nematode) through visualization of variability, diversity, and specificity metrics. AVAILABILITY AND IMPLEMENTATION: https://github.com/lasseignelab/CoSIA. Anisha Haldar, Vishal H. Oza, Nathaniel S. Devoss, Amanda D. Clark, Brittany N. Lasseigne |
Bioinform. | 3 |