Statistical confidence estimation for Hi-C data reveals regulatory chromatin contacts

Our current understanding of how DNA is packed in the nucleus is most accurate at the fine scale of individual nucleosomes and at the large scale of chromosome territories. However, accurate modeling of DNA architecture at the intermediate scale of ∼50 kb-10 Mb is crucial for identifying functional interactions among regulatory elements and their target promoters. We describe a method, Fit-Hi-C, that assigns statistical confidence estimates to mid-range intra-chromosomal contacts by jointly modeling the random polymer looping effect and previously observed technical biases in Hi-C data sets. We demonstrate that our proposed approach computes accurate empirical null models of contact probability without any…

• NS
  National Science Foundation

  Awards: 1136996, P41 GM103533
• NI
  National Institutes of Health

  Awards: U41 HG007000, P41 GM103533, GM103533, HG007000