Phylotastic presentation - Harmon
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Phylotastic presentation - Harmon Presentation Transcript

  • 1. arbor: Enabling tree-thinking at broad spatial and temporal scalesMonday, June 4, 12
  • 2. arbor Application and GUI logic VisualizationMonday, June 4, 12
  • 3. arbor • Visual, extensible software • Load your data or use web services Application and GUI logic • Use visual workflow interface to Interactively build models • Scale analyses to very large trees Visualization • Interact with cross-linked data • Format and export resultsMonday, June 4, 12
  • 4. this software will allow you to:Monday, June 4, 12
  • 5. this software will allow you to: test key evolutionary hypotheses with methods that are new and flexible using massive amounts of dataMonday, June 4, 12
  • 6. visual interfaceMonday, June 4, 12
  • 7. Figure    2.  Web  services  in  phyloFlow.  phyloFlow  will  combine  local  computation  with  remote  access  to  data,  computation,  and  archiving.Monday, June 4, 12
  • 8. A Sample of arbor models Varies on a birth-death Constraints branch Species Varies across Brownian motion interactions clades Varies through Mk model Sudden jumps timeMonday, June 4, 12
  • 9. A Sample of arbor models Varies on a birth-death Constraints branch Species Varies across Brownian motion interactions clades Varies through Mk model Sudden jumps timeMonday, June 4, 12
  • 10. A Sample of arbor models Varies on a birth-death Constraints branch Species Varies across Brownian motion interactions clades Varies through Mk model Sudden jumps timeMonday, June 4, 12
  • 11. A Sample of arbor models Varies on a birth-death Constraints branch Species Varies across Brownian motion interactions clades Varies through Mk model Sudden jumps timeMonday, June 4, 12
  • 12. A Sample of arbor models Varies on a birth-death Constraints branch Species Varies across Brownian motion interactions clades Varies through Mk model Sudden jumps timeMonday, June 4, 12
  • 13. A Sample of arbor models Varies on a birth-death Constraints branch Species Varies across Brownian motion interactions clades Varies through Mk model Sudden jumps timeMonday, June 4, 12
  • 14. A Sample of arbor models Varies on a birth-death Constraints branch Species Varies across Brownian motion interactions clades Varies through Mk model Sudden jumps timeMonday, June 4, 12
  • 15. test case: grasslandsMonday, June 4, 12
  • 16. Figure    4.  Proposed  phyloFlow  work<low  for  Test  Case  1.  Information  processing  <lows  from  remote  sources  to  <ive  phyloFlow  modules.  First,  the  dataIntegrator  (A)  combines  phylogenetic,  distributional,  and  climactic  data  sources.  openModeller   (B)  then  creates  species  distribution  models,  and  Lagrange  (C)  tests  historical  biogeographic  hypotheses  incorporating  those  models.  Next,    phyloView  allows  geographic  (D)  and  phylogenetic  (E)  visualization  of    results.  Outputs  are  directed  to   the  dataOutput  module  (F),  which  can  save  results  both  locally  and  remotely.Monday, June 4, 12
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  • 22. How do species interactions shape long-term patterns of evolution?Monday, June 4, 12
  • 23. How do species interactions Can we predict the genome shape long-term patterns of structure of extinct taxa? evolution?Monday, June 4, 12
  • 24. How do species interactions Can we predict the genome shape long-term patterns of structure of extinct taxa? evolution? Why are some parts of the tree of life so much more diverse than others?Monday, June 4, 12
  • 25. How do species interactions Can we predict the genome shape long-term patterns of structure of extinct taxa? evolution? Why are some parts of the (your question here) tree of life so much more diverse than others?Monday, June 4, 12