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10.1038/nmeth.3314 http://scihub22266oqcxt.onion/10.1038/nmeth.3314 C4382388!4382388 !25730491     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\25730491 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Nat+Methods 2015 ; 12 (4 ): 347-50 Nephropedia Template TP {{tp|p=25730491 |t=2015. Genome sequence-independent identification of RNA editing sites |pdf=|usr=}}{{25730491 }} gab.com Text Genome sequence-independent identification of RNA editing sites JO: Nat Methods http://www.kidney.de/pget.php?&tw=1&pmid=25730491 #FOAvip RNA editing generates post-transcriptional sequence changes that can be deduced from RNA-seq data, but detection typically requires matched genomic sequence or multiple related expression data sets. We developed the GIREMI tool (genome-independent identification of RNA editing by mutual information; https://www.ibp.ucla.edu/research/xiao/GIREMI.html) to predict adenosine-to-inosine editing accurately and sensitively from a single RNA-seq data set of modest sequencing depth. Using GIREMI on existing data, we observed tissue-specific and evolutionary patterns in editing sites in the human population. Twit Text FOAVip Genome sequence-independent identification of RNA editing sites ????Nat Methods http://www.kidney.de/pget.php?&tw=1&pmid=25730491 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=25730491 #FOAvip English Wikipedia <ref>{{Cite pmid|25730491 }}</ref> Genome sequence-independent identification of RNA editing sites #MMPMID25730491 Zhang Q ; Xiao X Nat Methods 2015[Apr]; 12 (4 ): 347-50 PMID25730491 show ga RNA editing generates post-transcriptional sequence changes that can be deduced from RNA-seq data, but detection typically requires matched genomic sequence or multiple related expression data sets. We developed the GIREMI tool (genome-independent identification of RNA editing by mutual information; https://www.ibp.ucla.edu/research/xiao/GIREMI.html) to predict adenosine-to-inosine editing accurately and sensitively from a single RNA-seq data set of modest sequencing depth. Using GIREMI on existing data, we observed tissue-specific and evolutionary patterns in editing sites in the human population. |*Genomics [MESH] |Evolution, Molecular [MESH] |Humans [MESH] |RNA Editing/*genetics [MESH]Genome sequence-independent identification of RNA editing sites (epmc).pdf DeepDyve Pubget Overpricing