Demo Data from EDBT 2026 / reviewers in the wild / expert
Peter Rice
dblp:47/3736
· DBLP profile ↗
2ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 1 since 2021
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
genomics |
0.0 | 1 | 2000 | Artemis: sequence visualization and annotation · Bioinform. 2000 |
Bioinformatics and computational biology › genome annotation
sequence annotation visualization |
0.0 | 1 | 2000 | Artemis: sequence visualization and annotation · Bioinform. 2000 |
Bioinformatics and computational biology › genomics
genome analysis |
0.0 | 1 | 2000 | Artemis: sequence visualization and annotation · Bioinform. 2000 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Integrating Informatics for Integrating Biology and the Bedside with tranSMART: Flexible Data Warehousing with Complex Analytics
Jeffrey G. Klann, Michael Mendis, Peter Rice, Rudy Potenzone, Louisa May Klann, Griffin M. Weber, Diane Keogh, Shawn N. Murphy |
AMIA | 3 |
| 2000 | Artemis: sequence visualization and annotationabstractSUMMARY: Artemis is a DNA sequence visualization and annotation tool that allows the results of any analysis or sets of analyses to be viewed in the context of the sequence and its six-frame translation. Artemis is especially useful in analysing the compact genomes of bacteria, archaea and lower eukaryotes, and will cope with sequences of any size from small genes to whole genomes. It is implemented in Java, and can be run on any suitable platform. Sequences and annotation can be read and written directly in EMBL, GenBank and GFF format. AVAILABITLTY: Artemis is available under the GNU General Public License from http://www.sanger.ac.uk/Software/Artemis Kim Rutherford, Julian Parkhill, James Crook, Terry Horsnell, Peter Rice, Marie-Adèle Rajandream, Bart Barrell |
Bioinform. | 5 |