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. 2018 Jan 31;46(8):e49. doi: 10.1093/nar/gky064

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© The Author(s) 2018. Published by Oxford University Press on behalf of Nucleic Acids Research.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

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Figure 4. — Copy number correction. (A) Removing biases from Hi-C on breast cancer cells. The reproducibility score between samples from the same breast cancer cell type was computed after normalization. The vertical bar shows the reproducibility score of the raw data. Shown are comparisons for different (top) or identical (bottom) experimental conditions. (B) Detail of a Hi-C matrix normalized with different methods. The central portion has an increased copy number, which affects normalization. ICE fades it away, HiCNorm enhances it and OneD reduces the signal by about half.