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10.1038/mtna.2016.54 http://scihub22266oqcxt.onion/10.1038/mtna.2016.54 C5023399/?report=reader!5023399!28131286     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=28131286&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 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 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       Mol+Ther+Nucleic+Acids 2016 ; 5 (8): e345- Nephropedia Template TP {{tp|p=28131286|t=2016. Galaxy Workflows for Web-based Bioinformatics Analysis of Aptamer High-throughput Sequencing Data |pdf=|usr=}}{{28131286}} gab.com Text Galaxy Workflows for Web-based Bioinformatics Analysis of Aptamer High-throughput Sequencing Data JO: Mol Ther Nucleic Acids http://www.kidney.de/pget.php?&tw=1&pmid=28131286 #FOAvip Development of RNA and DNA aptamers for diagnostic and therapeutic applications is a rapidly growing field. Aptamers are identified through iterative rounds of selection in a process termed SELEX (Systematic Evolution of Ligands by EXponential enrichment). High-throughput sequencing (HTS) revolutionized the modern SELEX process by identifying millions of aptamer sequences across multiple rounds of aptamer selection. However, these vast aptamer HTS datasets necessitated bioinformatics techniques. Herein, we describe a semiautomated approach to analyze aptamer HTS datasets using the Galaxy Project, a web-based open source collection of bioinformatics tools that were originally developed to analyze genome, exome, and transcriptome HTS data. Using a series of Workflows created in the Galaxy webserver, we demonstrate efficient processing of aptamer HTS data and compilation of a database of unique aptamer sequences. Additional Workflows were created to characterize the abundance and persistence of aptamer sequences within a selection and to filter sequences based on these parameters. A key advantage of this approach is that the online nature of the Galaxy webserver and its graphical interface allow for the analysis of HTS data without the need to compile code or install multiple programs. Twit Text FOAVip Galaxy Workflows for Web-based Bioinformatics Analysis of Aptamer High-throughput Sequencing Data ????Mol Ther Nucleic Acids http://www.kidney.de/pget.php?&tw=1&pmid=28131286 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28131286 #FOAvip English Wikipedia <ref>{{Cite pmid|28131286}}</ref> Galaxy Workflows for Web-based Bioinformatics Analysis of Aptamer High-throughput Sequencing Data #MMPMID28131286 Thiel WH Mol Ther Nucleic Acids 2016[Aug]; 5 (8): e345- PMID28131286show ga Development of RNA and DNA aptamers for diagnostic and therapeutic applications is a rapidly growing field. Aptamers are identified through iterative rounds of selection in a process termed SELEX (Systematic Evolution of Ligands by EXponential enrichment). High-throughput sequencing (HTS) revolutionized the modern SELEX process by identifying millions of aptamer sequences across multiple rounds of aptamer selection. However, these vast aptamer HTS datasets necessitated bioinformatics techniques. Herein, we describe a semiautomated approach to analyze aptamer HTS datasets using the Galaxy Project, a web-based open source collection of bioinformatics tools that were originally developed to analyze genome, exome, and transcriptome HTS data. Using a series of Workflows created in the Galaxy webserver, we demonstrate efficient processing of aptamer HTS data and compilation of a database of unique aptamer sequences. Additional Workflows were created to characterize the abundance and persistence of aptamer sequences within a selection and to filter sequences based on these parameters. A key advantage of this approach is that the online nature of the Galaxy webserver and its graphical interface allow for the analysis of HTS data without the need to compile code or install multiple programs. äGalaxy Workflows for Web-based Bioinformatics Analysis of Aptamer High(epmc).pdf DeepDyve Pubget Overpricing