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10.1093/bioinformatics/btx739 http://scihub22266oqcxt.onion/10.1093/bioinformatics/btx739 C6031061!6031061!29186292     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Bioinformatics 2018 ; 34 (7): 1200-7 Nephropedia Template TP {{tp|p=29186292|t=2018. SATORI: a system for ontology-guided visual exploration of biomedical data repositories |pdf=|usr=}}{{29186292}} gab.com Text SATORI: a system for ontology-guided visual exploration of biomedical data repositories JO: Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=29186292 #FOAvip Motivation: The ever-increasing number of biomedical datasets provides tremendous opportunities for re-use but current data repositories provide limited means of exploration apart from text-based search. Ontological metadata annotations provide context by semantically relating datasets. Visualizing this rich network of relationships can improve the explorability of large data repositories and help researchers find datasets of interest. Results: We developed SATORI?an integrative search and visual exploration interface for the exploration of biomedical data repositories. The design is informed by a requirements analysis through a series of semi-structured interviews. We evaluated the implementation of SATORI in a field study on a real-world data collection. SATORI enables researchers to seamlessly search, browse and semantically query data repositories via two visualizations that are highly interconnected with a powerful search interface. Availability and implementation: SATORI is an open-source web application, which is freely available at http://satori.refinery-platform.org and integrated into the Refinery Platform. Supplementary information: Supplementary data are available at Bioinformatics online. Twit Text FOAVip SATORI: a system for ontology-guided visual exploration of biomedical data repositories ????Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=29186292 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=29186292 #FOAvip English Wikipedia <ref>{{Cite pmid|29186292}}</ref> SATORI: a system for ontology-guided visual exploration of biomedical data repositories #MMPMID29186292 Lekschas F; Gehlenborg N Bioinformatics 2018[Apr]; 34 (7): 1200-7 PMID29186292show ga Motivation: The ever-increasing number of biomedical datasets provides tremendous opportunities for re-use but current data repositories provide limited means of exploration apart from text-based search. Ontological metadata annotations provide context by semantically relating datasets. Visualizing this rich network of relationships can improve the explorability of large data repositories and help researchers find datasets of interest. Results: We developed SATORI?an integrative search and visual exploration interface for the exploration of biomedical data repositories. The design is informed by a requirements analysis through a series of semi-structured interviews. We evaluated the implementation of SATORI in a field study on a real-world data collection. SATORI enables researchers to seamlessly search, browse and semantically query data repositories via two visualizations that are highly interconnected with a powerful search interface. Availability and implementation: SATORI is an open-source web application, which is freely available at http://satori.refinery-platform.org and integrated into the Refinery Platform. Supplementary information: Supplementary data are available at Bioinformatics online. äSATORI: a system for ontology-guided visual exploration of biomedical (epmc).pdf DeepDyve Pubget Overpricing