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Pharokka: a fast scalable bacteriophage annotation tool
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 eit...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9805569/ https://www.ncbi.nlm.nih.gov/pubmed/36453861 http://dx.doi.org/10.1093/bioinformatics/btac776 |
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author | Bouras, George Nepal, Roshan Houtak, Ghais Psaltis, Alkis James Wormald, Peter-John Vreugde, Sarah |
author_facet | Bouras, George Nepal, Roshan Houtak, Ghais Psaltis, Alkis James Wormald, Peter-John Vreugde, Sarah |
author_sort | Bouras, George |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9805569 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-98055692023-01-03 Pharokka: a fast scalable bacteriophage annotation tool Bouras, George Nepal, Roshan Houtak, Ghais Psaltis, Alkis James Wormald, Peter-John Vreugde, Sarah Bioinformatics Applications Note 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. Oxford University Press 2022-12-01 /pmc/articles/PMC9805569/ /pubmed/36453861 http://dx.doi.org/10.1093/bioinformatics/btac776 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note Bouras, George Nepal, Roshan Houtak, Ghais Psaltis, Alkis James Wormald, Peter-John Vreugde, Sarah Pharokka: a fast scalable bacteriophage annotation tool |
title | Pharokka: a fast scalable bacteriophage annotation tool |
title_full | Pharokka: a fast scalable bacteriophage annotation tool |
title_fullStr | Pharokka: a fast scalable bacteriophage annotation tool |
title_full_unstemmed | Pharokka: a fast scalable bacteriophage annotation tool |
title_short | Pharokka: a fast scalable bacteriophage annotation tool |
title_sort | pharokka: a fast scalable bacteriophage annotation tool |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9805569/ https://www.ncbi.nlm.nih.gov/pubmed/36453861 http://dx.doi.org/10.1093/bioinformatics/btac776 |
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