Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Alkis James Psaltis

dblp:370/4696 · DBLP profile ↗
← Back
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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
genome annotation
0.712023
Pharokka: a fast scalable bacteriophage annotation tool · Bioinform. 2023
Bioinformatics and computational biology › genome annotation
phage genome annotation
0.712023
Pharokka: a fast scalable bacteriophage annotation tool · Bioinform. 2023
Bioinformatics and computational biology › genome annotation
automatic annotation
0.212023
Pharokka: a fast scalable bacteriophage annotation tool · Bioinform. 2023
Bioinformatics and computational biology › genomics › viral genomics
phage genomics
0.212023
Pharokka: a fast scalable bacteriophage annotation tool · Bioinform. 2023

Methods — techniques the papers use, named apart from their topics

python · 0.7bioconda · 0.7
YearPublicationVenuePosition
2023 Pharokka: a fast scalable bacteriophage annotation tool
abstract
SUMMARY: 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.4