Demo Data from EDBT 2026 / reviewers in the wild / expert
Toshimichi Ikemura
dblp:96/2690
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1996
—ORCID · unresolved
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 › molecular evolution
codon usage analysis |
0.0 | 1 | 1996 | Detection of genes in Escherichia coli sequences determined by genome projects and prediction of protein production levels, based on multivariate diversity in codon usage · Comput. Appl. Biosci. 1996 |
Bioinformatics and computational biology › genome annotation
gene prediction |
0.0 | 1 | 1996 | Detection of genes in Escherichia coli sequences determined by genome projects and prediction of protein production levels, based on multivariate diversity in codon usage · Comput. Appl. Biosci. 1996 |
Bioinformatics and computational biology
genome annotation |
0.0 | 1 | 1996 | Detection of genes in Escherichia coli sequences determined by genome projects and prediction of protein production levels, based on multivariate diversity in codon usage · Comput. Appl. Biosci. 1996 |
Methods — techniques the papers use, named apart from their topics
principal component analysis · 0.0BLASTX · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1996 | Detection of genes in Escherichia coli sequences determined by genome projects and prediction of protein production levels, based on multivariate diversity in codon usageabstractWe used principal component analysis to develop measures (called Z-parameters in this study) which reflect the diversity of codon usage in Escherichia coli genes. Protein production levels for 1500 CDSs (protein-coding sequences) identified by E.coli genome projects in Japan and the US were estimated from a correlation equation between Z1 and cellular protein content obtained through analysis of the genes experimentally characterized. Through the profile analysis of Z1 for E.coli sequences obtained by the Japanese Project, we predicted an additional 36 CDSs that had not been annotated in the International DNA Database. Thirty-one out of the 36 CDSs could be assigned to presumptive protein genes through a BLASTX search for recent protein databases in the Genome Net in Japan. Detailed examination of the Z1-parameter profile led us to assess sequencing errors which cause frame-shift. Shigehiko Kanaya, Yoshihiro Kudo, Yasukazu Nakamura, Toshimichi Ikemura |
Comput. Appl. Biosci. | 4 |