Yasas Wijesekara

First community challenge for automated virus taxonomy

This paper organizes a community challenge to develop automated virus taxonomy classification tools and evaluates their performance on a combined dataset of expert-curated and metagenomic sequences.

Jaeger: an accurate and fast deep-learning tool to detect bacteriophage sequences

Jaeger is a deep-learning tool that accurately and quickly identifies bacteriophage sequences in metagenomic data, achieving high sensitivity and precision.

Benchmarking Bioinformatic Virus Identification Tools Using Real-World Metagenomic Data across Biomes

This study benchmarks ten virus identification tools on metagenomic datasets from three biomes, finding significant variation in their performance and suggesting parameter adjustments for better results.