phylotastic presentation - harmon
TRANSCRIPT
arbor: Enabling tree-thinking at broad spatial and temporal scales
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arbor
Visualization
Application and GUI logic
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arbor
• Visual, extensible software
• Load your data or use web services
• Use visual workflow interface to Interactively build models
• Scale analyses to very large trees
• Interact with cross-linked data
• Format and export results
Visualization
Application and GUI logic
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this software will allow you to:
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this software will allow you to:
test key evolutionary hypotheses
with methods that are new and flexible
using massive amounts of data
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visual interface
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Figure 2. Web services in phyloFlow. phyloFlow will combine local computation with remote access to data, computation, and archiving.
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birth-death Constraints Varies on a branch
Brownian motion Species interactions
Varies across clades
Mk model Sudden jumps Varies through time
A Sample of arbor models
Monday, June 4, 12
birth-death Constraints Varies on a branch
Brownian motion Species interactions
Varies across clades
Mk model Sudden jumps Varies through time
A Sample of arbor models
Monday, June 4, 12
birth-death Constraints Varies on a branch
Brownian motion Species interactions
Varies across clades
Mk model Sudden jumps Varies through time
A Sample of arbor models
Monday, June 4, 12
birth-death Constraints Varies on a branch
Brownian motion Species interactions
Varies across clades
Mk model Sudden jumps Varies through time
A Sample of arbor models
Monday, June 4, 12
birth-death Constraints Varies on a branch
Brownian motion Species interactions
Varies across clades
Mk model Sudden jumps Varies through time
A Sample of arbor models
Monday, June 4, 12
birth-death Constraints Varies on a branch
Brownian motion Species interactions
Varies across clades
Mk model Sudden jumps Varies through time
A Sample of arbor models
Monday, June 4, 12
birth-death Constraints Varies on a branch
Brownian motion Species interactions
Varies across clades
Mk model Sudden jumps Varies through time
A Sample of arbor models
Monday, June 4, 12
test case: grasslands
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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.
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How do species interactions shape long-term patterns of
evolution?
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How do species interactions shape long-term patterns of
evolution?
Can we predict the genome structure of extinct taxa?
Monday, June 4, 12
How do species interactions shape long-term patterns of
evolution?
Can we predict the genome structure of extinct taxa?
Why are some parts of the tree of life so much more
diverse than others?
Monday, June 4, 12
How do species interactions shape long-term patterns of
evolution?
(your question here)
Can we predict the genome structure of extinct taxa?
Why are some parts of the tree of life so much more
diverse than others?
Monday, June 4, 12