Demo Data from EDBT 2026 / reviewers in the wild / expert
Itsuki Sugita
dblp:311/3165
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2022
—ORCID · none
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 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › genomics › structural variation
structural variant analysis |
0.6 | 1 | 2022 | Viola: a structural variant signature extractor with user-defined classifications · Bioinform. 2022 |
Bioinformatics and computational biology › cancer genomics
structural variant signature extraction |
0.6 | 1 | 2022 | Viola: a structural variant signature extractor with user-defined classifications · Bioinform. 2022 |
Methods — techniques the papers use, named apart from their topics
structural variant classification · 0.6multi-caller merging · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Viola: a structural variant signature extractor with user-defined classificationsabstractSUMMARY: Here, we present Viola, a Python package that provides structural variant (SV; large scale genome DNA variations that can result in disease, e.g. cancer) signature analytical functions and utilities for custom SV classification, merging multi-SV-caller output files and SV annotation. We demonstrate that Viola can extract biologically meaningful SV signatures from publicly available SV data for cancer and we evaluate the computational time necessary for annotation of the data. AVAILABILITY AND IMPLEMENTATION: Viola is available on pip (https://pypi.org/project/Viola-SV/) and the source code is on GitHub (https://github.com/dermasugita/Viola-SV). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Itsuki Sugita, Shohei Matsuyama, Hiroki Dobashi, Daisuke Komura, Shumpei Ishikawa |
Bioinform. | 1 |