Demo Data from EDBT 2026 / reviewers in the wild / expert
Dmitrii Sukhomlinov
dblp:242/5304
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none
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 · 77% Computational science and engineering · 23% |
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 › metagenomics
metagenomic sequence classification |
0.4 | 1 | 2019 | Flexible design of multiple metagenomics classification pipelines with UGENE · Bioinform. 2019 |
Computational science and engineering
workflow management |
0.1 | 1 | 2019 | Flexible design of multiple metagenomics classification pipelines with UGENE · Bioinform. 2019 |
Methods — techniques the papers use, named apart from their topics
workflow designer · 0.4ensemble classification voting · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Flexible design of multiple metagenomics classification pipelines with UGENEabstractSUMMARY: UGENE is a free, open-source, cross-platform bioinformatics software. UGENE deploys pre-defined pipelines and a flexible instrument to design new workflows and visually build multi-step analytics pipelines. The new UGENE v.1.31 release offers graphical, user-friendly wrapping of a number of popular command-line metagenomics classification programs (Kraken, CLARK, DIAMOND), combinable serially and in parallel through the workflow designer, with multiple, customizable reference databases. Ensemble classification voting is available through the WEVOTE algorithm, with augmented output in the form of detailed table reports. Pre-built workflows (which include all steps from data cleaning to summaries) are included with the installation and a tutorial is available on the UGENE website. Further expansion with multiple visualization tools for reports is planned. AVAILABILITY AND IMPLEMENTATION: UGENE is available at http://ugene.net/, implemented in C++ and Qt, and released under GNU General Public License (GPL) version 2. Rebecca Rose, Olga Golosova, Dmitrii Sukhomlinov, Aleksey Tiunov, Mattia Prosperi |
Bioinform. | 3 |