Adi Stern

The paper studies RNA phage infection dynamics in E. coli, showing bacterial population rebound despite viral replication and cell death.

The paper infers viral proteins acting as public goods during coinfection in bacteriophage MS2 using experimental evolution data and Bayesian inference.

The paper analyzes intra-host genetic diversity in SARS-CoV-2 chronic infections, finding low frequency mutations and varying divergence rates among patients.

The paper identifies point-mutant cheater viruses in MS2 bacteriophage that disrupt the replication cycle with dual defects and advantages, and shows helper mutations often co-occur nearby.

AccuNGS detects rare viral variants in clinical samples, revealing differences in within-host genetic diversity among HIV, RSV, and CMV infections.

This study uses full genome SARS-CoV-2 sequences from Israel to trace viral spread, find multiple introductions, and show the impact of social distancing on transmission.

This paper develops a Bayesian method to detect sequence context effects on mutation rates using population sequencing data, finding significant enrichment in deamination contexts in polioviruses.

The paper introduces AssociVar, a statistical method to detect true mutations from MinION sequencing data by distinguishing them from random sequencing errors.