Colin P. Farrell

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.

The paper presents a highly contiguous genome assembly of the inbred Babraham pig, confirming homozygosity and characterizing immunogenetic variation.

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.

This study uses pseudotime analysis to show DNA methylation aging follows exponential trends linked to mortality timescales.

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

BSBolt is a bisulfite sequencing analysis platform that provides accurate and fast alignment and methylation calling, outperforming existing tools.

The paper develops epigenetic clocks and pacemaker models to predict age in plains zebras and other equids using DNA methylation data from blood samples.

This paper develops a rat epigenetic clock (DNAmAge) that correlates with age and phenotypic aging, and identifies histone modifications linked to its signal.

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 identifies DNA methylation associations with metabolic syndrome traits in adipose tissue and develops a biomarker for type II diabetes risk.