Anca Mara Segall

The paper shows bacterial strain identity is the main factor determining phage infectivity in Achromobacter, with lineage and strain identity explaining 90% of variation in infection efficiency.

The paper investigates the evolutionary relationship between HK97-fold viruses and encapsulins, finding bidirectional transitions through procapsids.

Sphae is a bioinformatics pipeline that rapidly assesses phage therapeutic potential by analyzing genomic markers for safety and efficacy in under ten minutes.

This study isolates and characterizes three novel Crassvirales phages infecting Bacteroides cellulosilyticus WH2, revealing they do not co-evolve with their hosts and share a conserved tail spike protein involved in host interaction.

The paper introduces a machine-learning method to predict programmed ribosomal frameshifts with over 90% accuracy, addressing a gap in automated detection tools.

PhANNs classifies phage ORFs into structural protein classes or 'other' with high accuracy using an artificial neural network ensemble trained on curated phage sequences.