Researchers can build models to predict gene expression by detecting and differentiating between cytosine methylation and hydroxymethylation marks in the genome.
A novel platform paves the way for genomics-based oncology testing, with a knowledgebase of actionable biomarkers and help for scientists developing in-house tests.