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. 2020 Oct 19;48(21):e123. doi: 10.1093/nar/gkaa872

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© The Author(s) 2020. 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 Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

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Figure 1. — Overview of allele-specific modeling of diploid Hi-C data. (A) Diploid contact (i, j) is a combination of four distinct allele-specific contacts (m_i, m_j), (m_i, p_j), (p_i, m_j) and (p_i, p_j). (B) Reconstruction of allele-specific diploid contact matrix. (C) Observed allele-specific contacts between bins i and j can be decomposed into observed allele-certain contacts , observed allele-ambiguous contacts . We aim to decompose and infer the hidden contacts , and impute the true allele-specific contacts . (D) Illustration of the hierarchical Bayesian ASHIC-ZIPM model.

Inline graphic — Overview of allele-specific modeling of diploid Hi-C data. (A) Diploid contact (i, j) is a combination of four distinct allele-specific contacts (m_i, m_j), (m_i, p_j), (p_i, m_j) and (p_i, p_j). (B) Reconstruction of allele-specific diploid contact matrix. (C) Observed allele-specific contacts between bins i and j can be decomposed into observed allele-certain contacts , observed allele-ambiguous contacts . We aim to decompose and infer the hidden contacts , and impute the true allele-specific contacts . (D) Illustration of the hierarchical Bayesian ASHIC-ZIPM model.