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model choice (Read 3091 times)
Marlene
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model choice
Oct 14th, 2009 at 5:46pm
 
Hi everybody,

I'm a bit confused about the automatic model selection. Is there actually anywhere a list, where you can find out what parameters each model string include and which models are the same?
As in another post, I'm a bit puzzled that Model identifies let's say 010232 as the best model, but after entering the parameters in GARD it says at the end of the analysis that it used 10343.
I'm looking for recombination and selection in differenet strains of a virus. When I chose the REV and gamma (idenitified by Modeltest) it found 1 significant breakpoint in GARD and SBP and splitting the sequences and looking at trees in Mega, confirmed at least 2 jumps. However, when using the suggested Model-string or simplot can't detect recombination. So, I would like to have a closer look at the diffrences in the models used.

Thanks!
Marlene
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Sergei
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Re: model choice
Reply #1 - Oct 14th, 2009 at 8:24pm
 
Hi Marlene,

If you look at page 16 of Multimedia File Viewing and Clickable Links are available for Registered Members only!!  You need to Login Login, you can find an explanation of what 6-character model strings encode. 010232 and 10343 (it really should be 010343 - I'll fix the bug in datamonkey that cuts of the leading 0) are the same two models.

Cheers,
Sergei
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Marlene
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Re: model choice
Reply #2 - Oct 14th, 2009 at 9:15pm
 
Was just about going to take my question back. Thank you anyway!
And maybe for other users: the code describes how many parameters are used to describe rates in the following order:
a <-> c, a <->g, a <-> t,  c <-> g, c <-> t and g <-> t
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Sergei
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Re: model choice
Reply #3 - Oct 14th, 2009 at 9:37pm
 
Hi Marlene,

Yep, you got it  Smiley
The original six letter notation goes back to about 1995 in PAUP*

Best,
Sergei
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Division of Biomedical Informatics
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