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Predicting chromatin organization using histone marks
Authors:Jialiang Huang  Eugenio Marco  Luca Pinello  Guo-Cheng Yuan
Affiliation:Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA 02215 USA ;Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115 USA ;Harvard Stem Cell Institute, Cambridge, MA 02138 USA ;Present Address: Editas Medicine, Cambridge, MA 02138 USA
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.

Electronic supplementary material

The online version of this article (doi:10.1186/s13059-015-0740-z) contains supplementary material, which is available to authorized users.
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