Abstract:
|
Hi-C chromosome conformation data may reveal novel mechanisms for gene regulation, but analysis is difficult due to high variability and numerous biases. We introduce a new probabilistic hierarchical mixture model, HierCM, for detecting chromatin interactions by integrating replicate measurements separately and incorporating the TAD-caller TopDom into our estimation method, which improves our background estimator . This improves HierCM peak-calling reproducibility when using replicates, which is a serious concern with Hi-C peak-calling. In simulation studies, HierCM showed equal or superior peak-calling accuracy compared to HiC-DC and Fit-Hi-C. HierCM also demonstrated better downsampling consistency and correlation with CTCF occupancy compared to HiC-DC on several datasets.
|