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DOI 10.1093/bioadv/vbae126

Медицинская библиотека · Bioinformatics advances · 2024

synphage: a pipeline for phage genome synteny graphics focused on gene conservation.

Grosboillot Virginie, Dragoš Anna

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Аннотация

MOTIVATION: Visualization and comparison of genome maps of bacteriophages can be very effective, but none of the tools available on the market allow visualization of gene conservation between multiple sequences at a glance. In addition, most bioinformatic tools running locally are command line only, making them hard to setup, debug, and monitor.

RESULTS

To address these motivations, we developed synphage, an easy-to-use and intuitive tool to generate synteny diagrams from GenBank files. This software has a user-friendly interface and uses metadata to monitor the progress and success of the data transformation process. The output plot features colour-coded genes according to their degree of conservation among the group of displayed sequences. The strength of synphage lies also in its modularity and the ability to generate multiple plots with different configurations without having to re-process all the data. In conclusion, synphage reduces the bioinformatic workload of users and allows them to focus on analysis, the most impactful area of their work.

AVAILABILITY AND IMPLEMENTATION: The synphage tool is implemented in the Python language and is available from the GitHub repository at https://github.com/vestalisvirginis/synphage. This software is released under an Apache-2.0 licence. A PyPI synphage package is available at https://pypi.org/project/synphage/ and a containerized version is available at https://hub.docker.com/r/vestalisvirginis/synphage. Contributions to the software are welcome whether it is reporting a bug or proposing new features and the contribution guidelines are available at https://github.com/vestalisvirginis/synphage/blob/main/CONTRIBUTING.md.

Для цитирования: Grosboillot Virginie, Dragoš Anna. synphage: a pipeline for phage genome synteny graphics focused on gene conservation.. Bioinformatics advances. 2024. DOI: 10.1093/bioadv/vbae126.
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