Demo Data from EDBT 2026 / reviewers in the wild / expert
A. E. Hirsh
dblp:65/4642
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2003
—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 › phylogenetics
evolutionary distance estimation |
0.0 | 1 | 2003 | Detecting putative orthologs · Bioinform. 2003 |
Bioinformatics and computational biology › comparative genomics › orthology analysis
ortholog identification |
0.0 | 1 | 2003 | Detecting putative orthologs · Bioinform. 2003 |
Bioinformatics and computational biology
phylogenetics |
0.0 | 1 | 2003 | Detecting putative orthologs · Bioinform. 2003 |
Methods — techniques the papers use, named apart from their topics
reciprocal best BLAST hits · 0.0maximum likelihood estimation · 0.0global sequence alignment · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2003 | Detecting putative orthologsabstractAbstract Summary: We developed an algorithm that improves upon the common procedure of taking reciprocal best blast hits (rbh) in the identification of orthologs. The method—reciprocal smallest distance algorithm (rsd)—relies on global sequence alignment and maximum likelihood estimation of evolutionary distances to detect orthologs between two genomes. rsd finds many putative orthologs missed by rbh because it is less likely than rbh to be misled by the presence of a close paralog. Availability: A Python program and ReadMe file are freely available from: http://charles.stanford.edu/~dennis/research.html Dennis P. Wall, H. B. Fraser, A. E. Hirsh |
Bioinform. | 3 |