Demo Data from VLDB 2026 / reviewers in the wild / expert
Matthieu Moisse
dblp:135/5831
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2013
0000-0001-8880-9311ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1
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
structural variant visualization |
0.2 | 1 | 2013 | Pipit: visualizing functional impacts of structural variations · Bioinform. 2013 |
Bioinformatics and computational biology › population genetics
genetic variation analysis |
0.0 | 1 | 2013 | Pipit: visualizing functional impacts of structural variations · Bioinform. 2013 |
Methods — techniques the papers use, named apart from their topics
interactive visualization · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Pipit: visualizing functional impacts of structural variationsabstractAbstract Summary: Pipit is a gene-centric interactive visualization tool designed to study structural genomic variations. Through focusing on individual genes as the functional unit, researchers are able to study and generate hypotheses on the biological impact of different structural variations, for instance, the deletion of dosage-sensitive genes or the formation of fusion genes. Pipit is a cross-platform Java application that visualizes structural variation data from Genome Variation Format files. Availability: Executables, source code, sample data, documentation and screencast are available at https://bitbucket.org/biovizleuven/pipit. Contact: [email protected] Supplementary information: Supplementary data are available at Bioinformatics online. Ryo Sakai, Matthieu Moisse, Joke Reumers, Jan Aerts |
Bioinform. | 2 |