Adam Catching

This study uses long-read sequencing to map transposable element variation in human brain tissue, revealing regulatory and epigenetic effects across cell types and ancestries.

This paper uses long-read sequencing to analyze haplotype-resolved DNA methylation at the APOE locus in brain samples, identifying allele-specific methylation patterns linked to Alzheimer's disease risk.

The paper develops epigenetic clocks using long-read DNA methylation data from diverse ancestries, showing improved aging predictions and identifying ancestry-specific aging pathways.

The paper uses machine learning to identify individuals based on phageprint profiles from oral microbiomes, finding stable and unique phageprints per individual.

This study uses targeted sequencing of oral phage communities to show that phage compositions are individual-specific, stable over time, and not strongly influenced by geography or genetics.