HiCNorm: removing biases in Hi-C data via Poisson regression

作者：Hu Ming; Deng Ke; Selvaraj Siddarth; Qin Zhaohui; Ren Bing; Liu Jun S^*

来源：Bioinformatics, 2012, 28(23): 3131-3133.

DOI：10.1093/bioinformatics/bts570

We propose a parametric model, HiCNorm, to remove systematic biases in the raw Hi-C contact maps, resulting in a simple, fast, yet accurate normalization procedure. Compared with the existing Hi-C normalization method developed by Yaffe and Tanay, HiCNorm has fewer parameters, runs>1000 times faster and achieves higher reproducibility.

• 出版日期2012-12-1