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10.1080/19420889.2017.1296614 http://scihub22266oqcxt.onion/10.1080/19420889.2017.1296614 C5398231!5398231!28451057     free     free     free Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\28451057.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Commun+Integr+Biol 2017 ; 10 (2): ä Nephropedia Template TP {{tp|p=28451057|t=2017. A network perspective on the virus world |pdf=|usr=}}{{28451057}} gab.com Text A network perspective on the virus world JO: Commun Integr Biol http://www.kidney.de/pget.php?&tw=1&pmid=28451057 #FOAvip Viral evolution is characterized by high rates of horizontal gene transfer and fast sequence divergence. Furthermore, there are no universal genes shared by all viruses. As a result, distant relationships among viruses are better represented by a network than by a tree. Here we discuss 3 network representations of the virus world with decreasing levels of complexity, from a multilayer network that integrates sequence conservation and patterns of gene sharing to a classic genome similarity network. As new tools for network analysis are developed, we expect that novel insights into virus evolution will result from the study of more complex representations of the virus world. Twit Text FOAVip A network perspective on the virus world ????Commun Integr Biol http://www.kidney.de/pget.php?&tw=1&pmid=28451057 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28451057 #FOAvip English Wikipedia <ref>{{Cite pmid|28451057}}</ref> A network perspective on the virus world #MMPMID28451057 Iranzo J; Krupovic M; Koonin EV Commun Integr Biol 2017[]; 10 (2): ä PMID28451057show ga Viral evolution is characterized by high rates of horizontal gene transfer and fast sequence divergence. Furthermore, there are no universal genes shared by all viruses. As a result, distant relationships among viruses are better represented by a network than by a tree. Here we discuss 3 network representations of the virus world with decreasing levels of complexity, from a multilayer network that integrates sequence conservation and patterns of gene sharing to a classic genome similarity network. As new tools for network analysis are developed, we expect that novel insights into virus evolution will result from the study of more complex representations of the virus world. äA network perspective on the virus world (epmc).pdf DeepDyve Pubget Overpricing