VLDB 2026 Research / reviewers in the wild / expert
Alexander Diehl
dblp:115/5342
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1986
—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
sequence alignment |
0.0 | 1 | 1986 | MATCH-UP/MATRIX: a microcomputer program designed to search for protein primary structure homology · Comput. Appl. Biosci. 1986 |
Bioinformatics and computational biology
sequence analysis |
0.0 | 1 | 1986 | MATCH-UP/MATRIX: a microcomputer program designed to search for protein primary structure homology · Comput. Appl. Biosci. 1986 |
Bioinformatics and computational biology › sequence analysis
sequence homology |
0.0 | 1 | 1986 | MATCH-UP/MATRIX: a microcomputer program designed to search for protein primary structure homology · Comput. Appl. Biosci. 1986 |
Methods — techniques the papers use, named apart from their topics
sequence alignment · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1986 | MATCH-UP/MATRIX: a microcomputer program designed to search for protein primary structure homologyabstractMATCH-UP/MATRIX is a program designed to aid the investigator interested in determining primary protein structure. It is written in Applesoft BASIC for the Apple IIe microcomputer. MATCH-UP will survey any set of proteinaceous materials for amino acid sequence homology; however, it is primarily intended to compare the structures of newly sequenced peptides with the established structure of a protein with suspected homology. Any peptide-to-protein alignment which shows a homology greater than or equal to the percentage specified by the user will result in output. MATRIX will compare the sequences of two proteins (peptides) in whatever alignment specified by the user and is intended to spot insertions and/or deletions between structures. Alexander Diehl, D. W. Rea, L. F. Hass |
Comput. Appl. Biosci. | 1 |