Demo Data from EDBT 2026 / reviewers in the wild / expert
A. V. Grigorjev
dblp:81/761
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1990
—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
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 analysis
genome mapping |
0.0 | 1 | 1990 | Mapping DNA by stochastic relaxation: a new approach to fragment sizes · Comput. Appl. Biosci. 1990 |
Bioinformatics and computational biology › sequence analysis › DNA sequence analysis
restriction mapping |
0.0 | 1 | 1990 | Mapping DNA by stochastic relaxation: a new approach to fragment sizes · Comput. Appl. Biosci. 1990 |
Methods — techniques the papers use, named apart from their topics
stochastic relaxation · 0.0simulated annealing · 0.0least-squares refinement · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1990 | Mapping DNA by stochastic relaxation: a new approach to fragment sizesabstractInstead of the traditional manipulations with given fixed fragment lengths in the restriction map construction a method of varying the lengths is proposed and realized under the simulated annealing algorithm scheme. The described approach has no upper limit on the number of fragments mapped with even ordinary hardware. A program has been derived from the algorithm combined with the last-squares refinement procedure for both linear and circular maps. The algorithm's ability to pick up missed maps is illustrated and the problem of reducing the number of solutions is discussed. A. V. Grigorjev, Andrey A. Mironov |
Comput. Appl. Biosci. | 1 |