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Predicting chromatin organization using histone marks.


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. Our predictions provide a useful guide for the exploration of chromatin organization.

SUBMITTER: Huang J 

PROVIDER: S-EPMC4549084 | biostudies-literature | 2015 Aug

REPOSITORIES: biostudies-literature

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Predicting chromatin organization using histone marks.

Huang Jialiang J   Marco Eugenio E   Pinello Luca L   Yuan Guo-Cheng GC  

Genome biology 20150814


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 feature  ...[more]

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