Genome Detective: an automated system for virus identification from high-throughput sequencing data

Area of Science:

• Virology
• Bioinformatics
• Genomics

Background:

• Accurate viral genome assembly is crucial for understanding viral evolution and disease.
• Existing methods can be time-consuming and complex.

Purpose of the Study:

• To develop and validate an easy-to-use, web-based software for rapid and accurate viral genome assembly.

Main Methods:

• A novel alignment method combining amino-acid and nucleotide scores for reference-based linking of de novo contigs.
• Optimization using diverse synthetic viral genome datasets.
• Validation with next-generation sequencing data from hundreds of viruses.

Main Results:

• Genome Detective achieves fast and accurate viral genome assembly.
• The software requires minimal user input, primarily data upload time.

Conclusions:

• Genome Detective offers an efficient solution for viral genome assembly.
• The tool is optimized for a wide range of viral genome diversity.