Synteny plot quality control with SyntenyQC

Area of Science:

• Genomics
• Bioinformatics
• Comparative Genomics

Background:

• Synteny plots are crucial for visualizing genomic rearrangements and evolutionary relationships between species.
• Accurate and informative synteny plots rely heavily on well-processed and curated genomic datasets.

Purpose of the Study:

• To introduce SyntenyQC, a novel command-line application designed for pre-processing genomic data.
• To facilitate the efficient and accurate construction of high-quality synteny plots.

Main Methods:

• SyntenyQC is developed in Python (version 3.10) and utilizes pytest for testing.
• The tool offers functionalities for genomic data collection, annotation, and dereplication.
• It is distributed via PyPI under the MIT License, with a comprehensive user tutorial available.

Main Results:

• SyntenyQC streamlines the preparation of genomic data essential for synteny plot generation.
• The tool addresses challenges in data handling, enabling the creation of more informative visualizations.
• It supports various stages of data pre-processing, from collection to dereplication.

Conclusions:

• SyntenyQC is an effective pre-processing tool that enhances the construction of synteny plots.
• It provides essential data management capabilities for comparative genomics research.
• The tool is readily accessible and supported by detailed documentation and available tests.