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FreeHi-C simulates high-fidelity Hi-C data for benchmarking and data augmentation
Ye Zheng1, Sündüz Keleş2,3
1Department of Statistics, University of Wisconsin-Madison, Madison, WI, USA.
Nature Methods
|November 13, 2019
Abstract:
The ability to simulate high-throughput chromatin conformation (Hi-C) data is foundational for benchmarking Hi-C data analysis methods. Here we present a nonparametric strategy named FreeHi-C to simulate Hi-C data from the interacting genome fragments. Data from FreeHi-C exhibit high fidelity to biological Hi-C data. FreeHi-C boosts the precision and power of differential chromatin interaction detection through data augmentation under preserved false discovery rate control.
