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10.1371/journal.pone.0171746 http://scihub22266oqcxt.onion/10.1371/journal.pone.0171746 C5313201!5313201!28207819     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       PLoS+One 2017 ; 12 (2): ä Nephropedia Template TP {{tp|p=28207819|t=2017. The ins and outs of eukaryotic viruses: Knowledge base and ontology of a viral infection |pdf=|usr=}}{{28207819}} gab.com Text The ins and outs of eukaryotic viruses: Knowledge base and ontology of a viral infection JO: PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=28207819 #FOAvip Viruses are genetically diverse, infect a wide range of tissues and host cells and follow unique processes for replicating themselves. All these processes were investigated and indexed in ViralZone knowledge base. To facilitate standardizing data, a simple ontology of viral life-cycle terms was developed to provide a common vocabulary for annotating data sets. New terminology was developed to address unique viral replication cycle processes, and existing terminology was modified and adapted. The virus life-cycle is classically described by schematic pictures. Using this ontology, it can be represented by a combination of successive terms: ?entry?, ?latency?, ?transcription?, ?replication? and ?exit?. Each of these parts is broken down into discrete steps. For example Zika virus ?entry? is broken down in successive steps: ?Attachment?, ?Apoptotic mimicry?, ?Viral endocytosis/ macropinocytosis?, ?Fusion with host endosomal membrane?, ?Viral factory?. To demonstrate the utility of a standard ontology for virus biology, this work was completed by annotating virus data in the ViralZone, UniProtKB and Gene Ontology databases. Twit Text FOAVip The ins and outs of eukaryotic viruses: Knowledge base and ontology of a viral infection ????PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=28207819 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28207819 #FOAvip English Wikipedia <ref>{{Cite pmid|28207819}}</ref> The ins and outs of eukaryotic viruses: Knowledge base and ontology of a viral infection #MMPMID28207819 Hulo C; Masson P; de Castro E; Auchincloss AH; Foulger R; Poux S; Lomax J; Bougueleret L; Xenarios I; Le Mercier P PLoS One 2017[]; 12 (2): ä PMID28207819show ga Viruses are genetically diverse, infect a wide range of tissues and host cells and follow unique processes for replicating themselves. All these processes were investigated and indexed in ViralZone knowledge base. To facilitate standardizing data, a simple ontology of viral life-cycle terms was developed to provide a common vocabulary for annotating data sets. New terminology was developed to address unique viral replication cycle processes, and existing terminology was modified and adapted. The virus life-cycle is classically described by schematic pictures. Using this ontology, it can be represented by a combination of successive terms: ?entry?, ?latency?, ?transcription?, ?replication? and ?exit?. Each of these parts is broken down into discrete steps. For example Zika virus ?entry? is broken down in successive steps: ?Attachment?, ?Apoptotic mimicry?, ?Viral endocytosis/ macropinocytosis?, ?Fusion with host endosomal membrane?, ?Viral factory?. To demonstrate the utility of a standard ontology for virus biology, this work was completed by annotating virus data in the ViralZone, UniProtKB and Gene Ontology databases. äThe ins and outs of eukaryotic viruses: Knowledge base and ontology of(epmc).pdf DeepDyve Pubget Overpricing