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10.1186/s13059-015-0740-z http://scihub22266oqcxt.onion/10.1186/s13059-015-0740-z C4549084!4549084!26272203     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=26272203&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215       Genome+Biol 2015 ; 16 (1): ä Nephropedia Template TP {{tp|p=26272203|t=2015. Predicting chromatin organization using histone marks |pdf=|usr=}}{{26272203}} gab.com Text Predicting chromatin organization using histone marks JO: Genome Biol http://www.kidney.de/pget.php?&tw=1&pmid=26272203 #FOAvip 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. Twit Text FOAVip Predicting chromatin organization using histone marks ????Genome Biol http://www.kidney.de/pget.php?&tw=1&pmid=26272203 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26272203 #FOAvip English Wikipedia <ref>{{Cite pmid|26272203}}</ref> Predicting chromatin organization using histone marks #MMPMID26272203 Huang J; Marco E; Pinello L; Yuan GC Genome Biol 2015[]; 16 (1): ä PMID26272203show 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.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. äPredicting chromatin organization using histone marks (epmc).pdf DeepDyve Pubget Overpricing