The utilisation of genetic biomarkers in liquid biopsy has caused a revolution in cancer diagnostics and personalised medicine.
Here we show that the combination of resolved methylation and genomic data combined with machine-learning can generate accurate inference of gene expression (both steady-state and nascent), chromatin accessibility, and enhancer state, demonstrating the key role of 5mC and 5hmC in gene regulation.
Here we present duet evoC: an enzymatic method that reads the four canonical bases in DNA together with complete epigenetic information encoded in DNA – as applied to single cells.
