research data . Dataset . 2016

Predicting chromatin organization using histone marks

Jialiang Huang; Marco, Eugenio; Pinello, Luca; Yuan, Guo-Cheng;
  • Published: 15 Dec 2016
  • Publisher: Figshare
Abstract Genome-wide mapping of three dimensional chromatin organization is an important yet technically challenging task. To aid experimental effort and to understand the determinants of long-range chromatin interactions, we have developed a computational model integrating Hi-C and histone mark ChIP-seq data to predict two important features of chromatin organization: chromatin interaction hubs and topologically associated domain (TAD) boundaries. Our model accurately and robustly predicts these features across datasets and cell types. Cell-type specific histone mark information is required for prediction of chromatin interaction hubs but not for TAD boundaries...
free text keywords: Medicine, Genetics, FOS: Biological sciences, Molecular Biology, 69999 Biological Sciences not elsewhere classified, 80699 Information Systems not elsewhere classified, FOS: Computer and information sciences, Cancer
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Dataset . 2016
Provider: Datacite
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