Demo Data from VLDB 2026 / reviewers in the wild / expert
G. G. Kneale
dblp:32/3375
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1985
—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 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › biological database
sequence database |
0.0 | 1 | 1985 | Nucleic acid and protein sequence databases · Comput. Appl. Biosci. 1985 |
Bioinformatics and computational biology › sequence analysis
database search |
0.0 | 1 | 1985 | Nucleic acid and protein sequence databases · Comput. Appl. Biosci. 1985 |
Bioinformatics and computational biology
sequence analysis |
0.0 | 1 | 1985 | Nucleic acid and protein sequence databases · Comput. Appl. Biosci. 1985 |
Methods — techniques the papers use, named apart from their topics
sequence comparison algorithms · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1985 | Nucleic acid and protein sequence databasesabstractNucleic acid and protein sequences contain a wealth of information of interest to molecular biologists. The advent of molecular sequence databases provides a unique opportunity for the computer analysis of all available sequences. Sequence databases serve two main functions: (i) to facilitate comparisons with newly determined sequences, and (ii) to act as a source of data for the generation and testing of hypotheses concerning molecular sequence organisation and evolution. The large amounts of sequence data now becoming available require that algorithms for database searching be fast and efficient and considerable progress is being made in this area. G. G. Kneale, M. J. Bishop |
Comput. Appl. Biosci. | 1 |