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10.1093/bioinformatics/btt171 http://scihub22266oqcxt.onion/10.1093/bioinformatics/btt171 C3673212!3673212 !23589649     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 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\23589649 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Bioinformatics 2013 ; 29 (12 ): 1565-7 Nephropedia Template TP {{tp|p=23589649 |t=2013. Exome-based analysis for RNA epigenome sequencing data |pdf=|usr=}}{{23589649 }} gab.com Text Exome-based analysis for RNA epigenome sequencing data JO: Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=23589649 #FOAvip MOTIVATION: Fragmented RNA immunoprecipitation combined with RNA sequencing enabled the unbiased study of RNA epigenome at a near single-base resolution; however, unique features of this new type of data call for novel computational techniques. RESULT: Through examining the connections of RNA epigenome sequencing data with two well-studied data types, ChIP-Seq and RNA-Seq, we unveiled the salient characteristics of this new data type. The computational strategies were discussed accordingly, and a novel data processing pipeline was proposed that combines several existing tools with a newly developed exome-based approach 'exomePeak' for detecting, representing and visualizing the post-transcriptional RNA modification sites on the transcriptome. AVAILABILITY: The MATLAB package 'exomePeak' and additional details are available at http://compgenomics.utsa.edu/exomePeak/. Twit Text FOAVip Exome-based analysis for RNA epigenome sequencing data ????Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=23589649 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=23589649 #FOAvip English Wikipedia <ref>{{Cite pmid|23589649 }}</ref> Exome-based analysis for RNA epigenome sequencing data #MMPMID23589649 Meng J ; Cui X ; Rao MK ; Chen Y ; Huang Y Bioinformatics 2013[Jun]; 29 (12 ): 1565-7 PMID23589649 show ga MOTIVATION: Fragmented RNA immunoprecipitation combined with RNA sequencing enabled the unbiased study of RNA epigenome at a near single-base resolution; however, unique features of this new type of data call for novel computational techniques. RESULT: Through examining the connections of RNA epigenome sequencing data with two well-studied data types, ChIP-Seq and RNA-Seq, we unveiled the salient characteristics of this new data type. The computational strategies were discussed accordingly, and a novel data processing pipeline was proposed that combines several existing tools with a newly developed exome-based approach 'exomePeak' for detecting, representing and visualizing the post-transcriptional RNA modification sites on the transcriptome. AVAILABILITY: The MATLAB package 'exomePeak' and additional details are available at http://compgenomics.utsa.edu/exomePeak/. |*Epigenesis, Genetic [MESH] |*Exome [MESH] |*RNA Processing, Post-Transcriptional [MESH] |HEK293 Cells [MESH] |Humans [MESH] |Immunoprecipitation/methods [MESH] |Sequence Analysis, RNA/*methods [MESH] |Software [MESH]Exome-based analysis for RNA epigenome sequencing data (epmc).pdf DeepDyve Pubget Overpricing