Hello again,

Here are the programs.

*HashRF* by Sul & Williams - You will need a Unix console for using this,
or cygwin if you only run Windows
https://code.google.com/p/hashrf/

*FastRF* by Pettengale et al. - The download link seems to be broken!
You'll probably have to contact the authors.
http://agl.cs.unm.edu/~moret/recomb_jcb06.pdf
http://lcbb.epfl.ch/phylo0/Nick_Pattengale.html

*Trex server*, with an implementation of Makarenkov & Leclerc's (2000)
method
http://www.trex.uqam.ca/index.php?action=rf&project=trex

Hopefully you'll get what you need with one of those.

Best,

E.


On 14 April 2014 14:57, Eduardo Ascarrunz <[email protected]> wrote:

> Hello Chris,
>
> I know there's a program that was specifically developed for calculating
> large pairwise Robinson-Foulds distances matrices efficiently. I'll be able
> to send you the reference this evening (Paris time).
>
> All the best,
>
> E.
> On 14 Apr 2014 14:44, "Chris Buddenhagen" <[email protected]> wrote:
>
>> Thanks. That answers part of the question. It isn't the comparison of any
>> single pair of topologies that is troubling, but a quick means of doing
>> all
>> the possible comparisons between 100s of loci.
>>
>> Chris Buddenhagen
>> Florida State University
>> [email protected]
>>
>>
>> On Mon, Apr 14, 2014 at 8:27 AM, Mattia Prosperi <[email protected]>
>> wrote:
>>
>> > You may use "dist.topo" from the ape package, there are a couple of tree
>> > distance functions implemented.
>> >
>> >
>> > 2014-04-14 13:13 GMT+01:00 Chris Buddenhagen <[email protected]>:
>> >
>> >> I would like to make pairwise comparisons of topological similarity
>> >> between
>> >> all possible combinations of 518 gene trees.
>> >>
>> >> The expected output would be a matrix of topological distances for each
>> >> gene tree to each other tree.
>> >>
>> >> Any suggestions?
>> >>
>> >> Also as an aside, is there a way to mechanize the estimation of 100s of
>> >> gene trees from alignments, such that the best model models of
>> nucleotide
>> >> substitution is chosen objectively and then a tree is generated using
>> >> likelihood or Bayesian methods. Ideally I give the program the folder
>> of
>> >> 100s of alignments and tell it to go and wait for the gene trees.
>> >>
>> >> Best
>> >> Chris Buddenhagen
>> >> Florida State University
>> >> [email protected]
>> >>
>> >>         [[alternative HTML version deleted]]
>> >>
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>> >
>> >
>>
>>         [[alternative HTML version deleted]]
>>
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>

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