Demo Data from VLDB 2026 / reviewers in the wild / expert
M. S. Chapman
dblp:94/506
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1994
—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
sequence analysis |
0.0 | 1 | 1994 | Sequence similarity scores and the inference of structure-function relationships · Comput. Appl. Biosci. 1994 |
Bioinformatics and computational biology › sequence analysis
sequence similarity scoring |
0.0 | 1 | 1994 | Sequence similarity scores and the inference of structure-function relationships · Comput. Appl. Biosci. 1994 |
Methods — techniques the papers use, named apart from their topics
statistical comparison · 0.0position-dependent gap-penalized similarity score · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1994 | Sequence similarity scores and the inference of structure-function relationshipsabstractImproved methods are described for the interpretation of two or more aligned protein or nucleic acid sequences. These methods can be used to interpret the possible biological importance of regions within a known three-dimensional structure, or, even without a structure, to correlate sequence similarity with the known function of particular amino acids and to associate sequence similarity with properties predicted from the sequences. Improvements include the calculation of a position-dependent, gap-penalized similarity score; computer-assisted graphical association of sequence similarity with structural, functional or chemical properties of the sequences; and statistical comparisons of the sequence conservation or variability of different groups of residues. An application is described to analyze the sequences of piconarviral capsid proteins. M. S. Chapman |
Comput. Appl. Biosci. | 1 |