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10.1093/bioinformatics/btw408 http://scihub22266oqcxt.onion/10.1093/bioinformatics/btw408 C5079477!5079477!27378289     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       Bioinformatics 2016 ; 32 (21): 3333-5 Nephropedia Template TP {{tp|p=27378289|t=2016. w4CSeq: software and web application to analyze 4C-seq data |pdf=|usr=}}{{27378289}} gab.com Text w4CSeq: software and web application to analyze 4C-seq data JO: Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=27378289 #FOAvip Summary: Circularized Chromosome Conformation Capture followed by deep sequencing (4C-Seq) is a powerful technique to identify genome-wide partners interacting with a pre-specified genomic locus. Here, we present a computational and statistical approach to analyze 4C-Seq data generated from both enzyme digestion and sonication fragmentation-based methods. We implemented a command line software tool and a web interface called w4CSeq, which takes in the raw 4C sequencing data (FASTQ files) as input, performs automated statistical analysis and presents results in a user-friendly manner. Besides providing users with the list of candidate interacting sites/regions, w4CSeq generates figures showing genome-wide distribution of interacting regions, and sketches the enrichment of key features such as TSSs, TTSs, CpG sites and DNA replication timing around 4C sites.Availability and Implementation: Users can establish their own web server by downloading source codes at https://github.com/WGLab/w4CSeq. Additionally, a demo web server is available at http://w4cseq.wglab.org.Contact:kaiwang@usc.edu or wangelu@usc.eduSupplementary information: Supplementary data are available at Bioinformatics online. Twit Text FOAVip w4CSeq: software and web application to analyze 4C-seq data ????Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=27378289 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27378289 #FOAvip English Wikipedia <ref>{{Cite pmid|27378289}}</ref> w4CSeq: software and web application to analyze 4C-seq data #MMPMID27378289 Cai M; Gao F; Lu W; Wang K Bioinformatics 2016[Nov]; 32 (21): 3333-5 PMID27378289show ga Summary: Circularized Chromosome Conformation Capture followed by deep sequencing (4C-Seq) is a powerful technique to identify genome-wide partners interacting with a pre-specified genomic locus. Here, we present a computational and statistical approach to analyze 4C-Seq data generated from both enzyme digestion and sonication fragmentation-based methods. We implemented a command line software tool and a web interface called w4CSeq, which takes in the raw 4C sequencing data (FASTQ files) as input, performs automated statistical analysis and presents results in a user-friendly manner. Besides providing users with the list of candidate interacting sites/regions, w4CSeq generates figures showing genome-wide distribution of interacting regions, and sketches the enrichment of key features such as TSSs, TTSs, CpG sites and DNA replication timing around 4C sites.Availability and Implementation: Users can establish their own web server by downloading source codes at https://github.com/WGLab/w4CSeq. Additionally, a demo web server is available at http://w4cseq.wglab.org.Contact:kaiwang@usc.edu or wangelu@usc.eduSupplementary information: Supplementary data are available at Bioinformatics online. äw4CSeq: software and web application to analyze 4C-seq data (epmc).pdf DeepDyve Pubget Overpricing