Liat Shenhav

The paper identifies megaplasmids in Enterobacteriaceae species, showing they are self-transmissible, encode drug resistance, and may enhance bacterial competitiveness.

The paper develops MicFLY, a flow cytometry method to quantify and characterize intestinal microbiota at the single-cell level, revealing E. coli unbound by IgG and IgA is associated with necrotizing enterocolitis.

TEMPTED improves analysis of longitudinal microbiome data by incorporating time as a continuous variable, achieving high accuracy in phenotype classification and identifying microbial markers linked to birth outcomes.

This paper reviews statistical challenges in longitudinal microbiome studies and provides guidelines for design and analysis.

This paper introduces a Bayesian method to estimate cell type composition from DNA methylation without requiring a methylation reference, showing it can identify individual cell types rather than just linear combinations.

This paper shows that DNA methylation data can capture ancestry information and introduces a method to infer ancestry from methylation data without genetic data.