Demo Data from EDBT 2026 / reviewers in the wild / expert
Peter-John Wormald
dblp:370/4758
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 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 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
genome annotation |
0.7 | 1 | 2023 | Pharokka: a fast scalable bacteriophage annotation tool · Bioinform. 2023 |
Bioinformatics and computational biology › genome annotation
phage genome annotation |
0.7 | 1 | 2023 | Pharokka: a fast scalable bacteriophage annotation tool · Bioinform. 2023 |
Bioinformatics and computational biology › genome annotation
automatic annotation |
0.2 | 1 | 2023 | Pharokka: a fast scalable bacteriophage annotation tool · Bioinform. 2023 |
Bioinformatics and computational biology › genomics › viral genomics
phage genomics |
0.2 | 1 | 2023 | Pharokka: a fast scalable bacteriophage annotation tool · Bioinform. 2023 |
Methods — techniques the papers use, named apart from their topics
python · 0.7bioconda · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Pharokka: a fast scalable bacteriophage annotation toolabstractSUMMARY: In recent years, there has been an increasing interest in bacteriophages, which has led to growing numbers of bacteriophage genomic sequences becoming available. Consequently, there is a need for a rapid and consistent genomic annotation tool dedicated for bacteriophages. Existing tools either are not designed specifically for bacteriophages or are web- and email-based and require significant manual curation, which makes their integration into bioinformatic pipelines challenging. Pharokka was created to provide a tool that annotates bacteriophage genomes easily, rapidly and consistently with standards compliant outputs. Moreover, Pharokka requires only two lines of code to install and use and takes under 5 min to run for an average 50-kb bacteriophage genome. AVAILABILITY AND IMPLEMENTATION: Pharokka is implemented in Python and is available as a bioconda package using 'conda install -c bioconda pharokka'. The source code is available on GitHub (https://github.com/gbouras13/pharokka). Pharokka has been tested on Linux-64 and MacOSX machines and on Windows using a Linux Virtual Machine. George Bouras, Roshan Nepal, Ghais Houtak, Alkis James Psaltis, Peter-John Wormald, Sarah Vreugde |
Bioinform. | 5 |