1. arbor:
Enabling tree-thinking at broad spatial and temporal scales
Monday, June 4, 12
2. arbor
Application and
GUI logic
Visualization
Monday, 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 results
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 data
Monday, 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
time
Monday, 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
time
Monday, 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
time
Monday, 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
time
Monday, 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
time
Monday, 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
time
Monday, 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
time
Monday, 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
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
