Jonathan Rosenski

This paper detects neuronal DNA in cfDNA using non-CpG methylation patterns, finding elevated levels in neurological conditions and brain-dead donors.

The paper identifies genetic variants influencing DNA methylation across tissues and development in mice and humans, revealing two distinct epigenetic programming periods and linking methylation to regulatory elements and disease variants.

The paper creates a comprehensive atlas of allele-specific DNA methylation across 39 human cell types, identifying 325k genomic regions and 460 novel imprinted loci with cell-type-specific patterns.

wgbstools provides a computational suite for DNA methylation sequencing data representation, visualization, and analysis, enabling fragment-level analysis and integration with genetic data.