Demo Data from VLDB 2026 / reviewers in the wild / expert
Sydney Pun
dblp:370/4822
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · none
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 › genomics
genome visualization |
0.7 | 1 | 2023 | HiCube: interactive visualization of multiscale and multimodal Hi-C and 3D genome data · Bioinform. 2023 |
Bioinformatics and computational biology › epigenomics › hi-c data analysis
hi-c data visualization |
0.7 | 1 | 2023 | HiCube: interactive visualization of multiscale and multimodal Hi-C and 3D genome data · Bioinform. 2023 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | HiCube: interactive visualization of multiscale and multimodal Hi-C and 3D genome dataabstractSUMMARY: HiCube is a lightweight web application for interactive visualization and exploration of diverse types of genomics data at multiscale resolutions. Especially, HiCube displays synchronized views of Hi-C contact maps and 3D genome structures with user-friendly annotation and configuration tools, thereby facilitating the study of 3D genome organization and function. AVAILABILITY AND IMPLEMENTATION: HiCube is implemented in Javascript and can be installed via NPM. The source code is freely available at GitHub (https://github.com/wmalab/HiCube). Tiantian Ye, Yangyang Hu, Sydney Pun, Wenxiu Ma |
Bioinform. | 3 |