[MORPHMET] Workshop: UWashington.EvolQuantGenetics.Jun5-9

2017-01-31 Thread Joe Felsenstein
(note: this course will have about one lecture on the analysis of
morphometrics on phylogenies)


Evolutionary Quantitative Genetics Workshop

Friday Harbor Laboratories, University of Washington, 5-9 June 2017


Non-credit workshop.
Participants arrive at Friday Harbor Labs on Sunday, June 4, lectures and
exercises occur June 5-9, and participants depart on Saturday, June 10, 2017.

Application deadline March 1, 2017.
Application forms and details here:
  http://tinyurl.com/EQG2017
Web page:
  http://depts.washington.edu/fhl/studentSummer2017.html#SumB-genetics

Instructors:

Dr. Joe Felsenstein
Department of Genome Sciences
University of Washington, Seattle
j...@gs.washington.edu

Dr. Stevan J. Arnold
Department of Integrative Biology
Oregon State University, Corvallis
stevan.arn...@oregonstate.edu


Previous versions of this 5-day workshop were given at the National
Evolutionary Synthesis Center (NESCENT) at Duke University in Durham, North
Carolina from 2011-2013, and then at the National Institute for Mathematical
and Biological Synthesis (NIMBioS) at the University of Tennessee in Knoxville
from 2014-2016. Like past versions, the Friday Harbor version will review the
basics of theory in the field of evolutionary quantitative genetics and its
connections to evolution observed at various time scales. The aim of the
workshop is to build a bridge between the traditionally separate disciplines of
quantitative genetics and comparative methods.

Quantitative genetic theory for natural populations was developed considerably
in the period from 1970 to 1990 and up to the present, and it has been applied
to a wide range of phenomena including the evolution of differences between the
sexes, sexual preferences, life history traits, plasticity of traits, as well
as the evolution of body size and other morphological measurements. Textbooks
have not kept pace with these developments, and currently few universities
offer courses in this subject aimed at evolutionary biologists. Evolutionary
biologists need to understand this field because of the ability to collect
large amounts of data by computer, the development of statistical methods for
changes of traits on evolutionary trees and for changes in a single species
through time, and the realization that quantitative characters will not soon be
fully explained by genomics. This workshop aims to fill this need by reviewing
basic aspects of theory and illustrating how that theory can be tested with
data, both from single species and with multiple-species phylogenies.
Participants will use R, an open-source statistical programming language, to
build and test evolutionary models.

The workshop involves lectures and in-class computer exercises. You can
consult the 2016 tutorial website for examples, it will be found at
  http://www.nimbios.org/tutorials/TT_eqg2016
The intended participants for this
tutorial are graduate students, post-docs, and junior faculty members in
evolutionary biology. The workshop can accommodate up to 35 participants. Guest
instructors will include:

* Marguerite Butler, Biology, Univ. Hawai'i, Mānoa
* Patrick Carter, Evolutionary Physiology, Washington State University, Pullman
* Adam Jones, Biology, Texas A University, College Station
* Brian O'Meara, Ecology & Evolutionary Biology, Univ. of Tennessee, Knoxville
* Josef Uyeda, Biological Sciences, Virginia Tech, Blacksburg

Cost: $1000 to be paid to Friday Harbor Laboratories. This fee will cover
housing and meals at FHL and all other workshop expenses, except travel.
Participants who have been admitted to attend will make their payment prior to
arrival at FHL. Details of payment by credit card or check will be provided
once the applicant has been admitted to attend.


J.F.
----
Joe Felsenstein j...@gs.washington.edu
 Department of Genome Sciences and Department of Biology,
 University of Washington, Box 355065, Seattle, WA 98195-5065 USA

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Re: [MORPHMET] Terminology: Morphometry or Morphometrics?

2016-09-08 Thread Joe Felsenstein
Back in the days when phenetic clustering was new, at one point someone
(Sokal, Rohlf, someone like that) suggested that their field be called
"taxometrics".  Someone else pointed out that the more proper Greek name
would be "taximetrics".  Someone else then killed off this suggestion by
pointing out that that was too easy for that to be mistaken for the study
of taxi meters.

Joe

Joe Felsenstein j...@gs.washington.edu
 Department of Genome Sciences and Department of Biology,
 University of Washington, Box 355065, Seattle, WA 98195-5065 USA

On Thu, Sep 8, 2016 at 4:19 PM, Emma Sherratt <emma.sherr...@gmail.com>
wrote:

> Dear Chris, Norm, Alannah,
>
> Thank you for your comments and discussion on this term! And for engaging
> in a fun and different topic for this forum.
>
> It is indeed the etymology and usage I find most fascinating. I have
> noticed through my years of training in morphometrics (as I would call it)
> that colleagues in Brazil and Spanish speaking countries say morphometry
> usually and I'd not heard this before - at least I don't remember hearing
> it said in Britain. I began to wonder why, but had not found the answer.
> I'm glad I'm not the only one interested in this - thanks Mauro!
>
> Have a lovely weekend all!
>
> Best wishes,
>
> Em
>
> On Thursday, 8 September 2016, Chris Klingenberg <c...@manchester.ac.uk>
> wrote:
>
>> Dear Emma
>>
>> They are synonyms, with the same meaning. Incidentally, that is the same
>> as for "biometry" and "biometrics".
>>
>> I think "morphometry" may be the older of the two (the Oxford English
>> Dictiionary has a first occurrence in 1857, although it is not clear
>> whether the meaning is the same, versus 1960 for "morphometrics"), and is
>> the more traditional-sounding one.
>> During much of the 20th century, words ending in "-ics" had the aura of
>> coolness about them (perhaps from physics envy) as it now applies to those
>> ending in "-omics".
>>
>> Also, I have a feeling (which may be wrong) that there may be a
>> geographic flavour to the two words. In my impression, the word
>> "morphometry" is perhaps more widespread in Britain (plus perhaps the
>> Commonwealth), whereas folks in North America seems to use "morphometrics"
>> pretty much all the time.
>> Furthermore, "morphometry" may come more naturally to writers who
>> translate from another language (French "morphométrie", German
>> "Morphometrie" etc.).
>>
>> There would be room for linguistic research here
>>
>> Best wishes,
>> Chris
>>
>>
>> On 08/09/2016 06:01, Emma Sherratt wrote:
>>
>>> Dear Morphmet-hive mind,
>>>
>>> I've been curious for some time about the terms "morphometry" and
>>> "morphometrics" and whether they are in fact interchangeable or quite
>>> distinct. Also, is it related to the difference between phylogeny and
>>> phylogenetics?
>>>
>>> Regards,
>>>
>>> Emma
>>>
>>>
>>> --
>>> MORPHMET may be accessed via its webpage at http://www.morphometrics.org
>>> ---
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>>> an email to morphmet+unsubscr...@morphometrics.org >> morphmet+unsubscr...@morphometrics.org>.
>>>
>>
>> --
>> ***
>> Christian Peter Klingenberg
>> School of Biological Sciences
>> University of Manchester
>> Michael Smith Building
>> Oxford Road
>> Manchester M13 9PT
>> United Kingdom
>>
>> Web site: http://www.flywings.org.uk
>> E-mail: c...@manchester.ac.uk
>> Phone: +44 161 2753899
>> Skype: chris_klingenberg
>> ***
>>
>> --
>> MORPHMET may be accessed via its webpage at http://www.morphometrics.org
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>> email to morphmet+unsubscr...@morphometrics.org.
>>
>>
>
> --
>
> ~~~
>
> Emma Sherratt, PhD.
>
>
> Postdoctoral Researcher in the Keogh Lab 
> <http://biology-assets.anu.edu.au/hosted_sites/Scott/>
> Division of Evolution, Ecology &

Re: [MORPHMET] allometry and phylogeny

2016-06-30 Thread Joe Felsenstein
Damienet al. --


>
Thanks a lot for the answer Joe!
> However, I think you need to have species average for using methods like
> independent contrasts and PGLS right? How would you do it for a trajectory
> or series of specimens per species?
>

I not quite sure about the trajectory issue.  However for samples from each
species, when one does not have precise population means, one has to ask
how phylogenetic comparative methods cope with that.   The relevant papers
are by Ives, Midford and Garland (Evolution, 2007) and of course best of
all my own 2008 paper in American Naturalist.  Alas, it is not just a
matter of getting contrasts and then treating those as independent.  I have
options in my PHYLIP program Contrast that can do this case.

"Trajectory", I'm less sure.

Joe

Joe Felsenstein j...@gs.washington.edu
 Department of Genome Sciences and Department of Biology,
 University of Washington, Box 355065, Seattle, WA 98195-5065 USA

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Re: [MORPHMET] allometry and phylogeny

2016-06-30 Thread Joe Felsenstein
Damien Esquerre Gheur <damien.esque...@anu.edu.au> wrote:

> Dear morphometricians,
>
>
> I have a pretty big dataset of specimens for most species of pythons
> encompassing most of the size range for every species. I have been
> projecting the allometric trajectories and doing pairwise slope comparisons
> and things like that in Geomorph. However, it seems very obvious that the
> is a very strong phylogenetic signal in the data, as species within the
> same clade tend to have parallel trajectories.
>
...

> Would there be a way, for example, to extract a value for the slope and do
> an ancestral state reconstruction on that? Also, is there a way to
> incorporate phylogeny in slope comparison models?
>

I don't know which package of morphometric programs you should use for
that, but in phylogenetic comparative methods, you can use your tree of N
species and obtain  N-1  phylogenetic contrasts from your data.  Those can
then be treated as independent data points, each of which has your full set
of coordinates.

You could obtain a Generalized Procrustes superposition of your forms,
without resizing the specimens, then feed the resulting coordinates for
each species into one of the phylogenetic comparative methods packages.

Joe

Joe Felsenstein j...@gs.washington.edu
 Department of Genome Sciences and Department of Biology,
 University of Washington, Box 355065, Seattle, WA 98195-5065 USA

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Re: [MORPHMET] using regression residuals for other analyses

2016-03-24 Thread Joe Felsenstein
These complicated issues aside, there is a simpler reason not to use a
residual from a regression as the basis for further analyses.  If two
characters are under natural selection based on some combination -- such as
selection on a ratio between them -- then the current value of character Y
is a response, not to the current value of character X, but to its value in
the past.  Response to selection is not instant, so we'd really want to
regress Y on past values of X.  How far in the past depends on information
on the strength of selection.  We don't yet know that, and we don't have
values of X in the past.

Far better to make a joint analysis of selection on both of them.  Once one
takes the residual one has built in the assumption that the response of one
character to another is instantaneous, in effect that the selection
involved is infinitely strong and the heritabilities complete.

I believe that Hansen and Bartoszek have warned about this in a paper in
Systematic Biology in 2012.

Joe

Joe Felsenstein j...@gs.washington.edu
 Department of Genome Sciences and Department of Biology,
 University of Washington, Box 355065, Seattle, WA 98195-5065 USA

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Re: [R-sig-phylo] [MORPHMET] Re: Stability of p-values (physignal and testing for morphological integration)

2015-06-09 Thread Joe Felsenstein
Tsung Fei Khang --


 If the expectation of the empirical estimator for mean p-value is a function
 of the number iterations that becomes asymptotically unbiased, then this
 would explain the simulation results  (attachment in the original posting),
 since for small number of iterations, some bias would remain, and only
 disappear (hence the stabilization feeling) when number of iterations is
 large.

 Thanks again for all for clarifying the issue.

The issue didn't get clarified if that's the conclusion.   In a
permutation test each replicate is independent and equivalent to a
coin toss.

Thus the estimate of P is unbiased, not asymptotically unbiased.

Joe

Joe Felsenstein j...@gs.washington.edu
 Department of Genome Sciences and Department of Biology,
 University of Washington, Box 355065, Seattle, WA 98195-5065 USA

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