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10.1186/s12859-016-1443-5 http://scihub22266oqcxt.onion/10.1186/s12859-016-1443-5 C5333192!5333192!28251869     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       BMC+Bioinformatics 2017 ; 18 (Suppl 2): ä Nephropedia Template TP {{tp|p=28251869|t=2017. A taxonomy of visualization tasks for the analysis of biological pathway data |pdf=|usr=}}{{28251869}} gab.com Text A taxonomy of visualization tasks for the analysis of biological pathway data JO: BMC Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=28251869 #FOAvip Background: Understanding complicated networks of interactions and chemical components is essential to solving contemporary problems in modern biology, especially in domains such as cancer and systems research. In these domains, biological pathway data is used to represent chains of interactions that occur within a given biological process. Visual representations can help researchers understand, interact with, and reason about these complex pathways in a number of ways. At the same time, these datasets offer unique challenges for visualization, due to their complexity and heterogeneity. Results: Here, we present taxonomy of tasks that are regularly performed by researchers who work with biological pathway data. The generation of these tasks was done in conjunction with interviews with several domain experts in biology. These tasks require further classification than is provided by existing taxonomies. We also examine existing visualization techniques that support each task, and we discuss gaps in the existing visualization space revealed by our taxonomy. Conclusions: Our taxonomy is designed to support the development and design of future biological pathway visualization applications. We conclude by suggesting future research directions based on our taxonomy and motivated by the comments received by our domain experts. Twit Text FOAVip A taxonomy of visualization tasks for the analysis of biological pathway data ????BMC Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=28251869 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28251869 #FOAvip English Wikipedia <ref>{{Cite pmid|28251869}}</ref> A taxonomy of visualization tasks for the analysis of biological pathway data #MMPMID28251869 Murray P; McGee F; Forbes AG BMC Bioinformatics 2017[]; 18 (Suppl 2): ä PMID28251869show ga Background: Understanding complicated networks of interactions and chemical components is essential to solving contemporary problems in modern biology, especially in domains such as cancer and systems research. In these domains, biological pathway data is used to represent chains of interactions that occur within a given biological process. Visual representations can help researchers understand, interact with, and reason about these complex pathways in a number of ways. At the same time, these datasets offer unique challenges for visualization, due to their complexity and heterogeneity. Results: Here, we present taxonomy of tasks that are regularly performed by researchers who work with biological pathway data. The generation of these tasks was done in conjunction with interviews with several domain experts in biology. These tasks require further classification than is provided by existing taxonomies. We also examine existing visualization techniques that support each task, and we discuss gaps in the existing visualization space revealed by our taxonomy. Conclusions: Our taxonomy is designed to support the development and design of future biological pathway visualization applications. We conclude by suggesting future research directions based on our taxonomy and motivated by the comments received by our domain experts. äA taxonomy of visualization tasks for the analysis of biological pathw(epmc).pdf DeepDyve Pubget Overpricing