All spins of one cluster ID will be optimised as one model.  A second
ID will result in all those spins being optimised separately, but
again with all spins together.  Any spins not in a cluster ID
(labelled as free spins) will be optimised individually.  Have a look
at the model_loop() method of the specific_analyses.relax_disp.api
module, and the function
specific_analyses.relax_disp.disp_data.loop_cluster() which it uses.
This last function should explain everything.

Regards,

Edward

On 28 August 2013 13:58, Troels Emtekær Linnet <[email protected]> wrote:
> What if I would have defined several Cluster ID's ?
>
> How does it know which cluster ID to use?
>
> Best
> Troels
>
> Troels Emtekær Linnet
>
>
> 2013/8/28 Edward d'Auvergne <[email protected]>:
>> Oh, as the GUI is build on top of the auto-analysis, you just do the
>> same thing.  But just with the 'Previous run directory' input element
>> and the 'cluster' button.  If you don't use the auto-analysis, that is
>> a completely different story.  Then one should look at the
>> auto-analysis relax script auto_analyses/relax_disp.py to see how it
>> is done there, and replicate that.
>>
>> Regards,
>>
>> Edward
>>
>>
>>
>> On 28 August 2013 13:47, Edward d'Auvergne <[email protected]> wrote:
>>> Hi,
>>>
>>> We should add many more of these details to the dispersion chapter of
>>> the relax manual!  So for the dispersion auto-analysis, there is the
>>> 'pre_run_dir' argument.  To use clustering, you just define the
>>> cluster with the relax_disp.cluster user function, and then set
>>> 'pre_run_dir' to the directory of non-clustered results.  That's it.
>>> The auto-analysis takes care of the rest.
>>>
>>> Regards,
>>>
>>> Edward
>>>
>>>
>>> On 28 August 2013 13:43, Troels Emtekær Linnet <[email protected]> wrote:
>>>> Hi Edward.
>>>>
>>>> Allright, I see your point. :-)
>>>>
>>>> Now I am trying to figure out how to do a clustering analysis.
>>>>
>>>> I have added to the wiki:
>>>> http://wiki.nmr-relax.com/Tutorial_for_Relaxation_dispersion_analysis_cpmg_fixed_time_recorded_on_varian_as_fid_interleaved#Inspecting_results_from_the_relax_analysis
>>>>
>>>> But I am unsure if I made the clustering correct.
>>>>
>>>> It is related to copying of the parameters, and running the
>>>> minimization with the clustered analysis residues.
>>>>
>>>> I looked up in the relax disp manual: "relax disp.parametercopy".
>>>> (I think the prompt example i wrong?)
>>>>
>>>> I can't seem to find a section how to make the minimization to run
>>>> with a clustering or residues. :-)
>>>>
>>>> Thanks :-)
>>>>
>>>> Troels Emtekær Linnet
>>>>
>>>>
>>>> 2013/8/28 Edward d'Auvergne <[email protected]>:
>>>>> Hi,
>>>>>
>>>>> This model selection technique is called Akaike's Information Criteria
>>>>> (AIC).  See http://www.nmr-relax.com/refs.html#dAuvergneGooley03 for
>>>>> details on this.  How would you produce a plot in Grace of the models
>>>>> selected?  I don't know how this would work for the dispersion models.
>>>>>  In a model-free analysis I have deliberately taken the decision to
>>>>> not create such a plot.  In model-free, relax supports models m0 to
>>>>> m9, so these could be plotted as 0 to 9 on the Y-axis.  But this is
>>>>> not done and will never be implemented.  The reason is because the
>>>>> information about which model is selected is worthless.  What is
>>>>> important is the dynamics extracted.  This is especially the case of
>>>>> nested models.  Just because a parameter is missing from a model, this
>>>>> does not mean that it is not present.  For example there are
>>>>> model-free models without the Rex parameter.  If these are selected,
>>>>> this does not mean that Rex is not present.  It means that Rex is
>>>>> statistically insignificant in the current data set.  Model
>>>>> differences are an academic question and is not interesting in
>>>>> practice.  Sometimes the AIC value for two nested models is very
>>>>> similar and that means that the parameter different between the two is
>>>>> sitting directly on the boarder of statistical
>>>>> significance/insignificant.  You could pick either model and it should
>>>>> not make a statistical difference in the dynamics picture.  It does
>>>>> not relate to the dynamics, just the judgement of statistically
>>>>> significance for parameters.  Therefore for practical reasons, for
>>>>> model-free at least, the interesting plots, text files, and
>>>>> PyMOL/MOLMOL macros are of the parameter values themselves.  I think
>>>>> is would be much more of interest to implement PyMOL/MOLMOL macros for
>>>>> the dispersion parameters so you can see the dynamics directly on the
>>>>> 3D structure.  This is performed in NESSY and needs to be added to
>>>>> relax.
>>>>>
>>>>> Also note that when you are analysing data, you would probably limit
>>>>> the number of models to 2-3.  For example if you know that all
>>>>> residues are experiencing slow exchange, the LM63 fast exchange model
>>>>> does not need to be used.  It is interesting to see that sometimes the
>>>>> analytic models are selected and sometimes the numeric models.  But
>>>>> this is an academic curiosity, it is probably not a practical question
>>>>> anyone analysing real dispersion data is interested in.  The way an
>>>>> analysis would normally be performed is to first decide if the
>>>>> analytic or numeric approach is to be used.  For the analytic approach
>>>>> with slow exchange, you only need the 'No Rex' and 'CR72' models.  You
>>>>> could add the 'IT99' model if you can see that pA >> pB in the
>>>>> spectra, i.e. the pB peak is tiny.  If you take the numeric approach,
>>>>> then the 'No Rex' and 'NS 2-site expanded' models can be used.  Once
>>>>> you perform an initial analysis of all residues separately, you can
>>>>> then look at the dynamics parameter values and judge which spins to
>>>>> cluster together to have the same model of dynamics, then re-perform
>>>>> the analysis.
>>>>>
>>>>> Regards,
>>>>>
>>>>> Edward
>>>>>
>>>>>
>>>>> On 28 August 2013 12:02, Troels Emtekær Linnet <[email protected]> wrote:
>>>>>> Hi.
>>>>>>
>>>>>> After a AIK selection between models
>>>>>>
>>>>>> CR72/
>>>>>> IT99/
>>>>>> LM63/
>>>>>> NS 2-site expanded/
>>>>>>
>>>>>> I get this selected list of models.
>>>>>> Would it be possible to add to the grace images in the final directory,
>>>>>> the selected model and the residue number?
>>>>>>
>>>>>> 3 LM63
>>>>>> 4 CR72
>>>>>> 5 NS 2-site expanded
>>>>>> 6 CR72
>>>>>> 7 LM63
>>>>>> 8 No Rex
>>>>>> 9 NS 2-site expanded
>>>>>> 10 CR72
>>>>>> 11 LM63
>>>>>> 12 CR72
>>>>>> 13 IT99
>>>>>> 14 NS 2-site expanded
>>>>>> 15 NS 2-site expanded
>>>>>> 16 LM63
>>>>>> 17 CR72
>>>>>> 18 CR72
>>>>>> 20 NS 2-site expanded
>>>>>> 21 NS 2-site expanded
>>>>>> 22 CR72
>>>>>> 23 LM63
>>>>>> 24 LM63
>>>>>> 25 CR72
>>>>>> 26 IT99
>>>>>> 27 NS 2-site expanded
>>>>>> 28 NS 2-site expanded
>>>>>> 29 CR72
>>>>>> 30 NS 2-site expanded
>>>>>> 31 CR72
>>>>>> 32 CR72
>>>>>> 33 IT99
>>>>>> 34 IT99
>>>>>> 35 IT99
>>>>>> 36 IT99
>>>>>> 37 IT99
>>>>>> 38 NS 2-site expanded
>>>>>> 39 LM63
>>>>>> 40 No Rex
>>>>>> 41 CR72
>>>>>> 42 No Rex
>>>>>> 43 NS 2-site expanded
>>>>>> 45 IT99
>>>>>> 46 CR72
>>>>>> 47 CR72
>>>>>> 48 IT99
>>>>>> 49 NS 2-site expanded
>>>>>> 50 LM63
>>>>>> 51 NS 2-site expanded
>>>>>> 52 CR72
>>>>>> 53 NS 2-site expanded
>>>>>> 54 NS 2-site expanded
>>>>>> 55 No Rex
>>>>>> 56 IT99
>>>>>> 57 LM63
>>>>>> 58 LM63
>>>>>> 59 NS 2-site expanded
>>>>>> 60 CR72
>>>>>> 61 IT99
>>>>>> 62 NS 2-site expanded
>>>>>> 63 NS 2-site expanded
>>>>>> 64 CR72
>>>>>> 65 IT99
>>>>>> 66 No Rex
>>>>>> 67 CR72
>>>>>> 68 No Rex
>>>>>> 69 NS 2-site expanded
>>>>>> 70 NS 2-site expanded
>>>>>> 71 NS 2-site expanded
>>>>>> 72 NS 2-site expanded
>>>>>> 73 LM63
>>>>>> 74 LM63
>>>>>> 75 NS 2-site expanded
>>>>>> 76 NS 2-site expanded
>>>>>> 77 IT99
>>>>>> 78 CR72
>>>>>> 79 No Rex
>>>>>> 80 LM63
>>>>>> 81 NS 2-site expanded
>>>>>> 82 IT99
>>>>>> 83 IT99
>>>>>> 84 NS 2-site expanded
>>>>>> 85 LM63
>>>>>> 86 IT99
>>>>>>
>>>>>>
>>>>>> Troels Emtekær Linnet
>>>>>>
>>>>>> _______________________________________________
>>>>>> relax (http://www.nmr-relax.com)
>>>>>>
>>>>>> This is the relax-devel mailing list
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