Demo Data from EDBT 2026 / reviewers in the wild / expert
D. Charif
dblp:74/1804
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2005
—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 › molecular evolution
codon usage analysis |
0.1 | 1 | 2005 | Online synonymous codon usage analyses with the ade4 and seqinR packages · Bioinform. 2005 |
Bioinformatics and computational biology
sequence analysis |
0.0 | 1 | 2005 | Online synonymous codon usage analyses with the ade4 and seqinR packages · Bioinform. 2005 |
Methods — techniques the papers use, named apart from their topics
correspondence analysis · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | Online synonymous codon usage analyses with the ade4 and seqinR packagesabstractUNLABELLED: Correspondence analysis of codon usage data is a widely used method in sequence analysis, but the variability in amino acid composition between proteins is a confounding factor when one wants to analyse synonymous codon usage variability. A simple and natural way to cope with this problem is to use within-group correspondence analysis. There is, however, no user-friendly implementation of this method available for genomic studies. Our motivation was to provide to the community a Web facility to easily study synonymous codon usage on a subset of data available in public genomic databases. AVAILABILITY: Availability through the Pole Bioinformatique Lyonnais (PBIL) Web server at http://pbil.univ-lyon1.fr/datasets/charif04/ with a demo allowing us to reproduce the figure in the present application note. All underlying software is distributed under a GPL licence. CONTACT: http://pbil.univ-lyon1.fr/members/lobry. D. Charif, Jean Thioulouse, J. R. Lobry, Guy Perrière |
Bioinform. | 1 |