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
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... Subjects
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
Any information missing or wrong?Report an Issue