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10.1186/s13059-015-0740-z

http://scihub22266oqcxt.onion/10.1186/s13059-015-0740-z
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C4549084!4549084 !26272203
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suck abstract from ncbi


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pmid26272203
      Genome+Biol 2015 ; 16 (1 ): 162
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  • Predicting chromatin organization using histone marks #MMPMID26272203
  • Huang J ; Marco E ; Pinello L ; Yuan GC
  • Genome Biol 2015[Aug]; 16 (1 ): 162 PMID26272203 show ga
  • 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.
  • |*Histone Code [MESH]
  • |Cell Line [MESH]
  • |Chromatin Immunoprecipitation [MESH]
  • |Chromatin/chemistry/*metabolism [MESH]
  • |Computer Simulation [MESH]
  • |High-Throughput Nucleotide Sequencing [MESH]
  • |Humans [MESH]
  • |Regulatory Sequences, Nucleic Acid [MESH]


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