David C. Rinker

Dec 23, 2023 | biorxiv.org | Erin N Gilbertson |Colin M Brand |Evonne McArthur |David C. Rinker

AbstractUnderstanding variation in chromatin contact patterns across human populations is critical for interpreting non-coding variants and their ultimate effects on gene expression and phenotypes. However, experimental determination of chromatin contacts at a population-scale is prohibitively expensive. To overcome this challenge, we develop and validate a machine learning method to quantify the diversity 3D chromatin contacts at 2 kilobase resolution from genome sequence alone.