Sagi Snir

This study quantifies the contribution of gene gain and loss versus genome rearrangements to gene order evolution in bacteria and archaea, finding gene gain and loss dominate.

This paper introduces a new phylogenetic approach that unties gene gain and loss rates, using a stochastic model called TRP and software TDDR, showing improved performance on synthetic and real data.

The paper introduces MSEPM, a multidimensional model for DNA methylation that accounts for age, sex, and cell type, revealing site-specific methylation dynamics influenced by transcription factors.

This paper introduces a privacy-preserving protocol for the Epigenetic Pacemaker model, improving efficiency and privacy compared to prior methods.

This study examines how age, sex, weight, and breed influence DNA methylomes in canids, finding strong associations with age, sex, and sterilization status, and showing genetic and physiological factors moderate epigenetic aging.

The paper compares the epigenetic pacemaker (EPM) to traditional epigenetic clocks, finding EPM more sensitive in detecting factors affecting epigenetic age.

The paper develops a model to characterize non-linear epigenetic aging trends across the entire lifespan, finding a logarithmic relationship between epigenetic age and chronological age.

The paper introduces a meta-analysis method to identify eQTLs from multi-tissue datasets, detecting more eQTLs and eGenes than previous approaches.