Demo Data from EDBT 2026 / reviewers in the wild / expert
Dongmin Jung
dblp:228/0389
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1
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 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › genome annotation
functional annotation |
0.4 | 1 | 2020 | ShinyGO: a graphical gene-set enrichment tool for animals and plants · Bioinform. 2020 |
Bioinformatics and computational biology › functional genomics › functional enrichment analysis
gene set enrichment analysis |
0.4 | 1 | 2020 | ShinyGO: a graphical gene-set enrichment tool for animals and plants · Bioinform. 2020 |
Methods — techniques the papers use, named apart from their topics
STRING · 0.4KEGG · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | ShinyGO: a graphical gene-set enrichment tool for animals and plantsabstractMOTIVATION: Gene lists are routinely produced from various omic studies. Enrichment analysis can link these gene lists with underlying molecular pathways and functional categories such as gene ontology (GO) and other databases. RESULTS: To complement existing tools, we developed ShinyGO based on a large annotation database derived from Ensembl and STRING-db for 59 plant, 256 animal, 115 archeal and 1678 bacterial species. ShinyGO's novel features include graphical visualization of enrichment results and gene characteristics, and application program interface access to KEGG and STRING for the retrieval of pathway diagrams and protein-protein interaction networks. ShinyGO is an intuitive, graphical web application that can help researchers gain actionable insights from gene-sets. AVAILABILITY AND IMPLEMENTATION: http://ge-lab.org/go/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Steven X. Ge, Dongmin Jung, Runan Yao |
Bioinform. | 2 |