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10.1016/j.ymeth.2014.10.012 http://scihub22266oqcxt.onion/10.1016/j.ymeth.2014.10.012 C4406782!4406782 !25461772     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=25461772 &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 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\25461772 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Methods 2015 ; 79-80 (ä): 3-10 Nephropedia Template TP {{tp|p=25461772 |t=2015. Fast and accurate mapping of Complete Genomics reads |pdf=|usr=}}{{25461772 }} gab.com Text Fast and accurate mapping of Complete Genomics reads JO: Methods http://www.kidney.de/pget.php?&tw=1&pmid=25461772 #FOAvip Many recent advances in genomics and the expectations of personalized medicine are made possible thanks to power of high throughput sequencing (HTS) in sequencing large collections of human genomes. There are tens of different sequencing technologies currently available, and each HTS platform have different strengths and biases. This diversity both makes it possible to use different technologies to correct for shortcomings; but also requires to develop different algorithms for each platform due to the differences in data types and error models. The first problem to tackle in analyzing HTS data for resequencing applications is the read mapping stage, where many tools have been developed for the most popular HTS methods, but publicly available and open source aligners are still lacking for the Complete Genomics (CG) platform. Unfortunately, Burrows-Wheeler based methods are not practical for CG data due to the gapped nature of the reads generated by this method. Here we provide a sensitive read mapper (sirFAST) for the CG technology based on the seed-and-extend paradigm that can quickly map CG reads to a reference genome. We evaluate the performance and accuracy of sirFAST using both simulated and publicly available real data sets, showing high precision and recall rates. Twit Text FOAVip Fast and accurate mapping of Complete Genomics reads ????Methods http://www.kidney.de/pget.php?&tw=1&pmid=25461772 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=25461772 #FOAvip English Wikipedia <ref>{{Cite pmid|25461772 }}</ref> Fast and accurate mapping of Complete Genomics reads #MMPMID25461772 Lee D ; Hormozdiari F ; Xin H ; Hach F ; Mutlu O ; Alkan C Methods 2015[Jun]; 79-80 (ä): 3-10 PMID25461772 show ga Many recent advances in genomics and the expectations of personalized medicine are made possible thanks to power of high throughput sequencing (HTS) in sequencing large collections of human genomes. There are tens of different sequencing technologies currently available, and each HTS platform have different strengths and biases. This diversity both makes it possible to use different technologies to correct for shortcomings; but also requires to develop different algorithms for each platform due to the differences in data types and error models. The first problem to tackle in analyzing HTS data for resequencing applications is the read mapping stage, where many tools have been developed for the most popular HTS methods, but publicly available and open source aligners are still lacking for the Complete Genomics (CG) platform. Unfortunately, Burrows-Wheeler based methods are not practical for CG data due to the gapped nature of the reads generated by this method. Here we provide a sensitive read mapper (sirFAST) for the CG technology based on the seed-and-extend paradigm that can quickly map CG reads to a reference genome. We evaluate the performance and accuracy of sirFAST using both simulated and publicly available real data sets, showing high precision and recall rates. |*High-Throughput Nucleotide Sequencing [MESH] |Algorithms [MESH] |Electronic Data Processing/methods [MESH] |Genome, Human [MESH] |Genomics/*methods [MESH] |Humans [MESH] |Sequence Alignment [MESH] |Sequence Analysis, DNA [MESH]Fast and accurate mapping of Complete Genomics reads (epmc).pdf DeepDyve Pubget Overpricing