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10.1186/s13059-015-0708-z http://scihub22266oqcxt.onion/10.1186/s13059-015-0708-z C4514447!4514447!26206277     free     free     free Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 249.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Genome+Biol 2015 ; 16 (1): ä Nephropedia Template TP {{tp|p=26206277|t=2015. Chromatin segmentation based on a probabilistic model for read counts explains a large portion of the epigenome |pdf=|usr=}}{{26206277}} gab.com Text Chromatin segmentation based on a probabilistic model for read counts explains a large portion of the epigenome JO: Genome Biol http://www.kidney.de/pget.php?&tw=1&pmid=26206277 #FOAvip Chromatin immunoprecipitation followed by sequencing (ChIP-seq) is an increasingly common experimental approach to generate genome-wide maps of histone modifications and to dissect the complexity of the epigenome. Here, we propose EpiCSeg: a novel algorithm that combines several histone modification maps for the segmentation and characterization of cell-type specific epigenomic landscapes. By using an accurate probabilistic model for the read counts, EpiCSeg provides a useful annotation for a considerably larger portion of the genome, shows a stronger association with validation data, and yields more consistent predictions across replicate experiments when compared to existing methods.The software is available at http://github.com/lamortenera/epicsegElectronic supplementary material: The online version of this article (doi:10.1186/s13059-015-0708-z) contains supplementary material, which is available to authorized users. Twit Text FOAVip Chromatin segmentation based on a probabilistic model for read counts explains a large portion of the epigenome ????Genome Biol http://www.kidney.de/pget.php?&tw=1&pmid=26206277 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26206277 #FOAvip English Wikipedia <ref>{{Cite pmid|26206277}}</ref> Chromatin segmentation based on a probabilistic model for read counts explains a large portion of the epigenome #MMPMID26206277 Mammana A; Chung HR Genome Biol 2015[]; 16 (1): ä PMID26206277show ga Chromatin immunoprecipitation followed by sequencing (ChIP-seq) is an increasingly common experimental approach to generate genome-wide maps of histone modifications and to dissect the complexity of the epigenome. Here, we propose EpiCSeg: a novel algorithm that combines several histone modification maps for the segmentation and characterization of cell-type specific epigenomic landscapes. By using an accurate probabilistic model for the read counts, EpiCSeg provides a useful annotation for a considerably larger portion of the genome, shows a stronger association with validation data, and yields more consistent predictions across replicate experiments when compared to existing methods.The software is available at http://github.com/lamortenera/epicsegElectronic supplementary material: The online version of this article (doi:10.1186/s13059-015-0708-z) contains supplementary material, which is available to authorized users. äChromatin segmentation based on a probabilistic model for read counts (epmc).pdf DeepDyve Pubget Overpricing