AccuVIR: an ACCUrate VIRal genome assembly tool for third-generation sequencing data

Area of Science:

• Virology
• Genomics
• Bioinformatics

Background:

• RNA viruses constantly mutate, leading to variants affecting transmissibility and virulence.
• Accurate viral genome assembly is crucial for identifying variants and understanding virus evolution.
• Third-generation sequencing offers real-time virus sequencing but suffers from high error rates, hindering accurate genome reconstruction.

Purpose of the Study:

• Introduce AccuVIR, a novel tool for viral genome assembly and polishing using long reads.
• Improve the accuracy of viral genome reconstruction from error-prone sequencing data.

Main Methods:

• AccuVIR leverages the observation that sequencing errors disrupt viral gene structures.
• The tool distinguishes sequencing errors from true variants based on the high density of coding regions in viral genomes.
• Utilizes third-generation sequencing data (e.g., Nanopore) for viral genome assembly.

Main Results:

• AccuVIR demonstrates superior performance in generating accurate viral genomes compared to existing tools.
• Experimental results on simulated and real data validate the tool's effectiveness.
• Successfully assembled and polished viral genomes from challenging, error-prone long-read data.

Conclusions:

• AccuVIR enhances the accuracy of viral genome assembly from long-read sequencing data.
• The tool is essential for accurate variant identification and studying genotype-phenotype relationships in viruses.
• AccuVIR provides a valuable resource for real-time virus surveillance and research.