GenomeQC: a quality assessment tool for genome assemblies and gene structure annotations

Area of Science:

• Genomics
• Bioinformatics

Background:

• Genome assemblies are crucial for understanding species biology, enabling genomic diversity and gene expression studies.
• Assembly quality metrics assess completeness and contiguity, vital for reliable biological insights.
• A lack of comprehensive tools for evaluating multiple assembly features hinders comparative analysis.

Purpose of the Study:

• To introduce a novel toolkit that integrates multiple metrics for characterizing genome assembly and gene annotation quality.
• To provide a framework for comparing quality across diverse assemblies and assembly types.

Main Methods:

• Development of an interactive web framework named GenomeQC.
• Integration of various quantitative measures for genome assembly and annotation assessment.
• Implementation of benchmarking capabilities against gold standard reference assemblies.

Main Results:

• GenomeQC offers a user-friendly platform for comprehensive analysis of genome assembly and annotation quality.
• The tool provides integrated statistics for evaluating assembly completeness, contiguity, and annotation accuracy.
• Researchers can benchmark their assemblies against established reference genomes.

Conclusions:

• GenomeQC is freely available as an R/Shiny and Python web application.
• Source code and a containerized pipeline are accessible via GitHub.
• The tool facilitates standardized quality assessment and comparison of genome assemblies.