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10.3389/fmicb.2018.00749 http://scihub22266oqcxt.onion/10.3389/fmicb.2018.00749 C5924777!5924777!29740407     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=29740407&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 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Front+Microbiol 2018 ; 9 (ä): ä Nephropedia Template TP {{tp|p=29740407|t=2018. Overview of Virus Metagenomic Classification Methods and Their Biological Applications |pdf=|usr=}}{{29740407}} gab.com Text Overview of Virus Metagenomic Classification Methods and Their Biological Applications JO: Front Microbiol http://www.kidney.de/pget.php?&tw=1&pmid=29740407 #FOAvip Metagenomics poses opportunities for clinical and public health virology applications by offering a way to assess complete taxonomic composition of a clinical sample in an unbiased way. However, the techniques required are complicated and analysis standards have yet to develop. This, together with the wealth of different tools and workflows that have been proposed, poses a barrier for new users. We evaluated 49 published computational classification workflows for virus metagenomics in a literature review. To this end, we described the methods of existing workflows by breaking them up into five general steps and assessed their ease-of-use and validation experiments. Performance scores of previous benchmarks were summarized and correlations between methods and performance were investigated. We indicate the potential suitability of the different workflows for (1) time-constrained diagnostics, (2) surveillance and outbreak source tracing, (3) detection of remote homologies (discovery), and (4) biodiversity studies. We provide two decision trees for virologists to help select a workflow for medical or biodiversity studies, as well as directions for future developments in clinical viral metagenomics. Twit Text FOAVip Overview of Virus Metagenomic Classification Methods and Their Biological Applications ????Front Microbiol http://www.kidney.de/pget.php?&tw=1&pmid=29740407 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=29740407 #FOAvip English Wikipedia <ref>{{Cite pmid|29740407}}</ref> Overview of Virus Metagenomic Classification Methods and Their Biological Applications #MMPMID29740407 Nooij S; Schmitz D; Vennema H; Kroneman A; Koopmans MPG Front Microbiol 2018[]; 9 (ä): ä PMID29740407show ga Metagenomics poses opportunities for clinical and public health virology applications by offering a way to assess complete taxonomic composition of a clinical sample in an unbiased way. However, the techniques required are complicated and analysis standards have yet to develop. This, together with the wealth of different tools and workflows that have been proposed, poses a barrier for new users. We evaluated 49 published computational classification workflows for virus metagenomics in a literature review. To this end, we described the methods of existing workflows by breaking them up into five general steps and assessed their ease-of-use and validation experiments. Performance scores of previous benchmarks were summarized and correlations between methods and performance were investigated. We indicate the potential suitability of the different workflows for (1) time-constrained diagnostics, (2) surveillance and outbreak source tracing, (3) detection of remote homologies (discovery), and (4) biodiversity studies. We provide two decision trees for virologists to help select a workflow for medical or biodiversity studies, as well as directions for future developments in clinical viral metagenomics. äOverview of Virus Metagenomic Classification Methods and Their Biologi(epmc).pdf DeepDyve Pubget Overpricing