Demo Data from EDBT 2026 / reviewers in the wild / expert
S. Schmitz
dblp:22/2270
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1992
—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 · 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
sequence analysis |
0.0 | 1 | 1992 | A new approach for displaying identities and differences among aligned amino acid sequences · Comput. Appl. Biosci. 1992 |
Bioinformatics and computational biology › sequence analysis › sequence comparison
sequence conservation analysis |
0.0 | 1 | 1992 | A new approach for displaying identities and differences among aligned amino acid sequences · Comput. Appl. Biosci. 1992 |
Bioinformatics and computational biology
protein sequence analysis |
0.0 | 1 | 1992 | A new approach for displaying identities and differences among aligned amino acid sequences · Comput. Appl. Biosci. 1992 |
Methods — techniques the papers use, named apart from their topics
identity calculation · 0.0divergence calculation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1992 | A new approach for displaying identities and differences among aligned amino acid sequencesabstractAn algorithm is presented for computing degrees of sequence conservation found among aligned amino acid sequences. Sequence identities are calculated for each position of an alignment and average identity values of neighboring positions are figured. The average identity value of the whole alignment is chosen as a limit to discriminate between well and less conserved sequence sections. A second algorithm is given to calculate the degree of divergence of individual sequences compared to the other sequences of the alignment. The approach is easy to use on microcomputers and gives an exact picture of sequence identities and differences in order to determine, first, protein regions of high functional or structural importance among homologous proteins, and, second, significant differences of single sequences that may contribute to individual properties of the analysed protein. The method is illustrated by an example analysing a sequence alignment of higher plant nitrate reductases. A. Friemann, S. Schmitz |
Comput. Appl. Biosci. | 2 |