Ernestina Hauptfeld

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

RAT improves metagenomic read annotation and taxonomic profiling by integrating MAGs and contigs, achieving high precision and sensitivity in diverse samples.

OGRE clusters metagenomic reads into species-specific bins efficiently for large datasets without computational limitations.