Demo Data from VLDB 2026 / reviewers in the wild / expert
Timothy D. J. Kirkwood
dblp:425/9235
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2025
0000-0002-6485-0608ORCID · 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 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
comparative genomics |
0.9 | 1 | 2025 | Synteny plot quality control with SyntenyQC · Bioinform. 2025 |
Bioinformatics and computational biology › comparative genomics
synteny analysis |
0.9 | 1 | 2025 | Synteny plot quality control with SyntenyQC · Bioinform. 2025 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Synteny plot quality control with SyntenyQCabstractSUMMARY: SyntenyQC is a data pre-processing tool for the construction of synteny plots. It supports genomic data collection, annotation and dereplication to facilitate (and in some cases fundamentally enable) the construction of informative synteny plots. AVAILABILITY AND IMPLEMENTATION: SyntenyQC is a command line app developed using Python version 3.10 and tested using pytest. SyntenyQC is available on PyPI (https://pypi.org/project/SyntenyQC) under the MIT License, along with a detailed user tutorial. Package tests can be viewed at https://github.com/Tim-Kirkwood/SyntenyQC. Timothy D. J. Kirkwood, Jack A. Connolly, Ee Lui Ang, Huimin Zhao 0007, Eriko Takano, Rainer Breitling |
Bioinform. | 1 |