Demo Data from VLDB 2026 / reviewers in the wild / expert
Paul Vauterin
dblp:79/11090
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2017
0000-0003-3665-4519ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author
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 · 50% Computational science and engineering · 50% | |
| Computer graphics and multimedia
1 paper |
Visualization and visual analytics · 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
genomics |
0.3 | 1 | 2017 | Panoptes: web-based exploration of large scale genome variation data · Bioinform. 2017 |
Computational science and engineering
visual analytics |
0.3 | 1 | 2017 | Panoptes: web-based exploration of large scale genome variation data · Bioinform. 2017 |
Visualization and visual analytics
interactive visualization |
0.3 | 1 | 2017 | Panoptes: web-based exploration of large scale genome variation data · Bioinform. 2017 |
Methods — techniques the papers use, named apart from their topics
visual analytics · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Panoptes: web-based exploration of large scale genome variation dataabstractMOTIVATION: The size and complexity of modern large-scale genome variation studies demand novel approaches for exploring and sharing the data. In order to unlock the potential of these data for a broad audience of scientists with various areas of expertise, a unified exploration framework is required that is accessible, coherent and user-friendly. RESULTS: Panoptes is an open-source software framework for collaborative visual exploration of large-scale genome variation data and associated metadata in a web browser. It relies on technology choices that allow it to operate in near real-time on very large datasets. It can be used to browse rich, hybrid content in a coherent way, and offers interactive visual analytics approaches to assist the exploration. We illustrate its application using genome variation data of Anopheles gambiae, Plasmodium falciparum and Plasmodium vivax. AVAILABILITY AND IMPLEMENTATION: Freely available at https://github.com/cggh/panoptes, under the GNU Affero General Public License. CONTACT: [email protected]. Paul Vauterin, Ben Jeffery, Alistair J. Miles, Roberto Amato, Lee Hart, Ian Wright, Dominic Kwiatkowski |
Bioinform. | 1 |