Demo Data from EDBT 2026 / reviewers in the wild / expert
Yury V. Bukhman
dblp:94/2861
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2001
0000-0002-8111-7651ORCID · 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 · 100% | |
| Databases, data mining, and information retrieval
1 paper |
Data integration and cleaning · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › data integration
biological database integration |
0.0 | 1 | 2001 | BioMolQuest: integrated database-based retrieval of protein structural and functional information · Bioinform. 2001 |
Methods — techniques the papers use, named apart from their topics
relational database · 0.1cross-reference resolution · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2001 | BioMolQuest: integrated database-based retrieval of protein structural and functional informationabstractAbstract Motivation: Information about a particular protein or protein family is usually distributed among multiple databases and often in more than one entry in each database. Retrieval and organization of this information can be a laborious task. This task is complicated even further by the existence of alternative terms for the same concept. Results: The PDB, SWISS-PROT, ENZYME, and CATH databases have been imported into a combined relational database, BioMolQuest. A powerful search engine has been built using this database as a back end. The search engine achieves significant improvements in query performance by automatically utilizing cross-references between the legacy databases. The results of the queries are presented in an organized, hierarchical way. Availability: http://bioinformatics.danforthcenter.org/yury/public/home.html. Unavailable for commercial users. Contact: [email protected] * To whom correspondence should be addressed. Yury V. Bukhman, Jeffrey Skolnick |
Bioinform. | 1 |