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10.1093/database/bav049 http://scihub22266oqcxt.onion/10.1093/database/bav049 C4460400!4460400!26055098     free     free     free       Database+(Oxford) 2015 ; 2015 (ä): ä Nephropedia Template TP {{tp|p=26055098|t=2015. An Ebola virus-centered knowledge base |pdf=|usr=}}{{26055098}} gab.com Text An Ebola virus-centered knowledge base JO: Database (Oxford) http://www.kidney.de/pget.php?&tw=1&pmid=26055098 #FOAvip Ebola virus (EBOV), of the family Filoviridae viruses, is a NIAID category A, lethal human pathogen. It is responsible for causing Ebola virus disease (EVD) that is a severe hemorrhagic fever and has a cumulative death rate of 41% in the ongoing epidemic in West Africa. There is an ever-increasing need to consolidate and make available all the knowledge that we possess on EBOV, even if it is conflicting or incomplete. This would enable biomedical researchers to understand the molecular mechanisms underlying this disease and help develop tools for efficient diagnosis and effective treatment. In this article, we present our approach for the development of an Ebola virus-centered Knowledge Base (Ebola-KB) using Linked Data and Semantic Web Technologies. We retrieve and aggregate knowledge from several open data sources, web services and biomedical ontologies. This knowledge is transformed to RDF, linked to the Bio2RDF datasets and made available through a SPARQL 1.1 Endpoint. Ebola-KB can also be explored using an interactive Dashboard visualizing the different perspectives of this integrated knowledge. We showcase how different competency questions, asked by domain users researching the druggability of EBOV, can be formulated as SPARQL Queries or answered using the Ebola-KB Dashboard.Database URL:http://ebola.semanticscience.org. Twit Text FOAVip An Ebola virus-centered knowledge base ????Database (Oxford) http://www.kidney.de/pget.php?&tw=1&pmid=26055098 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26055098 #FOAvip English Wikipedia <ref>{{Cite pmid|26055098}}</ref> An Ebola virus-centered knowledge base #MMPMID26055098 Kamdar MR; Dumontier M Database (Oxford) 2015[]; 2015 (ä): ä PMID26055098show ga Ebola virus (EBOV), of the family Filoviridae viruses, is a NIAID category A, lethal human pathogen. It is responsible for causing Ebola virus disease (EVD) that is a severe hemorrhagic fever and has a cumulative death rate of 41% in the ongoing epidemic in West Africa. There is an ever-increasing need to consolidate and make available all the knowledge that we possess on EBOV, even if it is conflicting or incomplete. This would enable biomedical researchers to understand the molecular mechanisms underlying this disease and help develop tools for efficient diagnosis and effective treatment. In this article, we present our approach for the development of an Ebola virus-centered Knowledge Base (Ebola-KB) using Linked Data and Semantic Web Technologies. We retrieve and aggregate knowledge from several open data sources, web services and biomedical ontologies. This knowledge is transformed to RDF, linked to the Bio2RDF datasets and made available through a SPARQL 1.1 Endpoint. Ebola-KB can also be explored using an interactive Dashboard visualizing the different perspectives of this integrated knowledge. We showcase how different competency questions, asked by domain users researching the druggability of EBOV, can be formulated as SPARQL Queries or answered using the Ebola-KB Dashboard.Database URL:http://ebola.semanticscience.org. äAn Ebola virus-centered knowledge base (epmc).pdf DeepDyve Pubget Overpricing