Clovis Galiez

The paper improves viral protein clustering by combining diversified sequence profiles with structural information, revealing a more accurate picture of viral protein diversity.

PhaLP 2.0 enhances a phage lysin database by integrating metagenomic data and introducing SUBLYME, a machine learning tool that identifies and classifies lysins with high accuracy.

Empathi improves phage protein function annotation by using hierarchical embeddings, outperforming homology-based methods and increasing annotated protein families.

SPAED improves domain segmentation in phage endolysins using AlphaFold's PAE matrix, achieving higher accuracy than Chainsaw.

The paper introduces the GASTE-test, a computationally efficient method for stratified binary data analysis, demonstrating improved accuracy and power over traditional methods.

The paper introduces EnVhogDB, a database of viral protein families derived from metagenomic data, which improves functional annotation of viral sequences.

SpacePHARER identifies phage-host relationships by matching CRISPR spacers to phage genomes in genomic or metagenomic data, improving sensitivity through protein-level comparisons and multiple match evidence.