Demo Data from EDBT 2026 / reviewers in the wild / expert
Zhongyi Hua
dblp:291/1611
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
0000-0002-6659-9824ORCID · 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 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
phylogenetics |
0.7 | 1 | 2023 | itol.toolkit accelerates working with iTOL (Interactive Tree of Life) by an automated generation of annotation files · Bioinform. 2023 |
Bioinformatics and computational biology › phylogenetics › phyloinformatics
phylogenetic tree visualization |
0.7 | 1 | 2023 | itol.toolkit accelerates working with iTOL (Interactive Tree of Life) by an automated generation of annotation files · Bioinform. 2023 |
Methods — techniques the papers use, named apart from their topics
automated workflow · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | itol.toolkit accelerates working with iTOL (Interactive Tree of Life) by an automated generation of annotation filesabstractSUMMARY: iTOL is a powerful and comprehensive phylogenetic tree visualization engine. However, adjusting to new templates can be time-consuming, especially when many templates are available. We developed an R package namely itol.toolkit to help users generate all 23 types of annotation files in iTOL. This R package also provides an all-in-one data structure to store data and themes, accelerating the step from metadata to annotation files of iTOL visualizations through automatic workflows. AVAILABILITY AND IMPLEMENTATION: The manual and source code are available at https://github.com/TongZhou2017/itol.toolkit. Kuidong Xu, Weiyue Liu, Longzhao Li, Zhongyi Hua |
Bioinform. | 6 |