Michael James Thompson

OpenSplice quantifies the impact of over 590,000 variants on the splicing of 600 human exons, providing insights into splicing regulatory mechanisms and enabling machine learning model evaluation.

MAGIC improves differential methylation analysis in WGBS data by modeling genomic heterogeneity with a beta-binomial mixture model, enhancing sensitivity and reducing false positives.

The paper identifies tissue-informative DNA methylation sites in ALS using targeted sequencing and machine learning, showing accurate prediction of disease status and progression.

BayesAge predicts epigenetic age using maximum likelihood estimation and binomial models for bulk bisulfite sequencing data, outperforming scAge in accuracy and interpretability.

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 develops a mammalian methylation array to profile methylation levels at conserved sequences across species, enabling cross-species comparisons and epigenetic biomarker development.

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

The paper develops an epigenetic clock for beluga whales using DNA methylation data to estimate age and sex, achieving high accuracy in a conservation context.

The paper introduces CONFINED, a method to distinguish biological from technical variation in methylation data using multiple datasets, showing improved robustness and replicability.