Demo Data from VLDB 2026 / reviewers in the wild / expert
Hon-Ming Lam
dblp:330/4720
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
0000-0002-6673-8740ORCID · 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
comparative genomics |
0.6 | 1 | 2022 | ShinySyn: a Shiny/R application for the interactive visualization and integration of macro- and micro-synteny data · Bioinform. 2022 |
Bioinformatics and computational biology › comparative genomics
synteny analysis |
0.6 | 1 | 2022 | ShinySyn: a Shiny/R application for the interactive visualization and integration of macro- and micro-synteny data · Bioinform. 2022 |
Bioinformatics and computational biology › comparative genomics › synteny analysis
synteny visualization |
0.6 | 1 | 2022 | ShinySyn: a Shiny/R application for the interactive visualization and integration of macro- and micro-synteny data · Bioinform. 2022 |
Methods — techniques the papers use, named apart from their topics
shiny/r · 0.6MCscan · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | ShinySyn: a Shiny/R application for the interactive visualization and integration of macro- and micro-synteny dataabstractMOTIVATION: Synteny analysis is a widely used framework in comparative genomics studies, which provides valuable information to reveal chromosome collinearity in both intra-species and inter-species. Most analysis pipelines, however, are command line-based, making it challenging for biologists to run the algorithms and visualize the results. Existing visualization tools either provide static plots or can only be run on web-based servers and lack efficient visualization methods for associating macro-synteny blocks with individual gene pairs in a micro-synteny region. RESULTS: We developed ShinySyn, a Shiny/R application built on the MCscan framework that provides an easy-to-use graphic interface for synteny analyses without requiring any programming skills, to reduce technical barriers. ShinySyn not only provides interactive visualization for macro-synteny, micro-synteny and genome-level dot views, but it also creates an intuitive representation with a dynamic zooming feature from macro-synteny to individual homologous genes. AVAILABILITY AND IMPLEMENTATION: The source code and installation instructions for ShinySyn can be accessed via https://github.com/obenno/ShinySyn. A pre-built docker image is also available at https://hub.docker.com/r/obenno/shinysyn. The application can be used locally or seamlessly integrated into any Shiny application server. Zhixia Xiao, Hon-Ming Lam |
Bioinform. | 2 |