By the way.

Would it be possible to implement a wiki?

It would be beneficial, for a little "loser" user control, to write up
some scratches, how to for example script up some analysis,
of for example CPMG.

I have looked into making a page at "http://nmrwiki.org/";
But they seem to have problems (for a long time now), so
you can't edit anything.

Best
Troels



Troels Emtekær Linnet


2013/5/30 Troels Emtekær Linnet <[email protected]>:
> Uhhh, that is great. :-)
>
> Looking forward to try!
>
> Troels Emtekær Linnet
>
>
> 2013/5/30 Edward d'Auvergne <[email protected]>
>>
>> Hi Troels,
>>
>> The relaxation dispersion GUI in relax is now fully debugged and
>> functional.  Well as far as I can tell anyway.  Enjoy!
>>
>> Regards,
>>
>> Edward
>>
>>
>>
>>
>> On 30 May 2013 17:34, Edward d'Auvergne <[email protected]> wrote:
>> >> You are very productive! and I am stunned to see the development
>> >> so fast. :-)
>> >
>> > Well, I'm sorting out the code for myself specifically for my own
>> > R1rho analyses.  I'm guessing you are interested in the CPMG side of
>> > things.
>> >
>> >
>> >> I think you are hitting "the nail" with the current development of relax.
>> >
>> > There's not much left to finish with the base infrastructure.  As for
>> > adding new models, that's a different, but relatively easy story.  The
>> > numerical integration of the Block-McConnell equations might take more
>> > effort to add but, as all the infrastructure is in place, it shouldn't
>> > be too hard.  Integrating with the other softwares (input file
>> > creation, execution, and reading of results - for NESSY, CPMGFit,
>> > ShereKhan, Catia, Chemex, etc.) will be a continual work in progress.
>> > It will be advanced when someone needs it, this is currently myself to
>> > fully automate the comparison between all the different dispersion
>> > programs simply for sanity purposes.
>> >
>> >
>> >> At the moment the "hardest/time consuming" part for students in our lab, 
>> >> is
>> >> the analysis of the
>> >> results. We have a good workflow from recording and peak assignment.
>> >> But from there, it gets more tricky.
>> >
>> > I know this problem well :)
>> >
>> >
>> >> Most of our analysis part is based on "home made" scripts for Igor
>> >> Pro/Matlab.
>> >
>> > Ah, the code for the dispersion models shouldn't be too difficult to
>> > port into relax if you already have Matlab code in place!
>> >
>> >
>> >> They come a long way for most of our analysis.
>> >> The problem is that for a "beginner" there can be a "high energy barrier" 
>> >> to
>> >> start
>> >> using these scripts. Not mentioning "license problems", installation and
>> >> such.
>> >> And if you have to make some peak adjustments, then the whole analysis
>> >> should be performed again.
>> >> For a "trained" this takes some hours, but for un-trained, it can take a 
>> >> day
>> >> or two.
>> >
>> > I understand this, and this is one useful advantage of a GUI.  I don't
>> > know how you would avoid having to redo a full analysis if the input
>> > data is changed though, except that maybe you could have a relax save
>> > file for the GUI analysis and slightly tweak the data already within
>> > relax, and the rerun the full analysis.
>> >
>> >
>> >> We have been looking for other software for CPMG.
>> >> At least to "quickly" try to match our scripts values.  (Here Nessy seemed
>> >> very interesting, but very buggy)
>> >
>> > I am now the maintainer of NESSY so I can fix some of the trivial
>> > bugs.  I have been doing this for a few annoying bugs, for example
>> > see:
>> >
>> > https://mail.gna.org/public/nessy-commits/2013-05/threads.html
>> >
>> > However finding the big bugs and improving the optimisation will not
>> > be possible for me at the moment.
>> >
>> >
>> >> But concerns about installation, development, and even a "harder" 
>> >> interface
>> >> than Igor Pro/Matlab, stopped us.
>> >> We(as in me) are at the moment matching some test results at the Sherekhan
>> >> server, after making
>> >> a input converter to Sherekhan. That seems to be very easy, and promising.
>> >
>> > relax now has this as well in the relax_disp.sherekhan_input user
>> > function.  You can access this from both the prompt/script mode and
>> > the GUI.  I've noticed though that the ShereKhan numerical integration
>> > of the Block-McConnell equations is currently problematic and the poor
>> > little tiger just runs forever!
>> >
>> >
>> >> I am very impressed with relax. Mostly because the GUI can take care of
>> >> novices, and there exist the possibility to
>> >> script it all up for extensive analysis.
>> >> It's free, and I was able to install it on Windows/Linux without to much
>> >> fuss.
>> >
>> > Cheers!  That is exactly what the relax developers have tried to create:
>> >
>> > - the GUI is really for those who don't have much interest in the
>> > theory and just want quick, idiot-proof results from a blackbox (i.e.
>> > perfect for undergrads),
>> > - the prompt/script mode is for power users with interest in the NMR
>> > theory and analysis,
>> > - the prompt/script mode in combination with the relax library
>> > functions is to be a replacement for Mathematica/Matlab for those who
>> > want to live on the cutting edge.
>> >
>> >
>> >> If I want to try some of our data, is the GUI ready for trying?
>> >
>> > There are a few minor bugs I have to sort out first.  For example with
>> > the error analysis for peak heights.  It should be ready for the
>> > 'R2eff' and 'LM63' models soon though.  Still, right now you can do
>> > everything except for clicking on the 'Execute analysis' button.  I
>> > hope it won't take too long.
>> >
>> > Regards,
>> >
>> > Edward
>> >
>> >
>> >
>> >
>> >> 2013/5/29 Edward d'Auvergne <[email protected]>
>> >>>
>> >>> Hi,
>> >>>
>> >>> Troels, you might be interested in the following comparison.  The
>> >>> reviving Sebastien Morin's relaxation dispersion branch in relax is
>> >>> now complete.  The relax_disp branch can now correctly optimise one of
>> >>> the dispersion models, that of Luz and Meiboom 1963 for 2-site fast
>> >>> exchange for CPMG-type experiments.  This does not implement the
>> >>> gradients or Hessians yet, and parameter constraints are still to be
>> >>> added.  But nevertheless relax can find the correct parameter values.
>> >>> This should be a good test of the dispersion code in relax as the
>> >>> addition of other models - such as that for R1rho data, more
>> >>> complicated models for CPMG-type data, and numerical integration of
>> >>> the Bloch-McConnell equations - should be trivial after that
>> >>> (requiring only 20-50 lines of new code, not counting comments and
>> >>> docstrings).
>> >>>
>> >>> Through relax user functions, I can now generate the input for CPMGFit
>> >>> and NESSY.  These are the relax_disp.cpmgfit_input and
>> >>> relax_disp.nessy_input user functions.  We can now also execute
>> >>> CPMGFit within relax using relax_disp.cpmgfit_execute.  This can be
>> >>> completed later, but the idea is to follow the concept of model-free
>> >>> user functions:
>> >>>
>> >>> dasha.create
>> >>> dasha.execute
>> >>> dasha.extract
>> >>> palmer.create
>> >>> palmer.execute
>> >>> palmer.extract
>> >>>
>> >>> These are for the Dasha and Modelfree4 programs respectively.
>> >>> Implementing the 3 user functions for creating input files, executing
>> >>> the program in-line, and extracting the results from the program's
>> >>> output will allow relax to use external programs as optimisation
>> >>> engines.  This is useful for comparing the results from different
>> >>> programs and really eliminating all bugs from the dispersion field.
>> >>>
>> >>> Back to the comparison, I have used Flemming Hansen's 500 and 800 MHz
>> >>> CPMG data from:
>> >>>
>> >>> Hansen, Vallurupalli & Kay, 2008, JPhysChemB, 112: 5898-5904.
>> >>>
>> >>> which he donated to Seb to be added to relax (located in
>> >>> test_suite/shared_data/dispersion/Hansen/).  Looking at a single
>> >>> randomly chosen residue (number 70), I see different results from the
>> >>> 3 programs:
>> >>>
>> >>> Param       relax       NESSY       CPMGFit
>> >>> R2 (500)        6.806       7.639       6.866
>> >>> R2 (800)        6.679       7.387       6.866
>> >>> phi         1.259e-13       0.259   1.226e-13
>> >>> phi (500)   31464.605   26292.031   30644.496
>> >>> phi (800)   80549.390   67307.598   78449.180
>> >>> kex          4763.249    3906.180      4.683
>> >>> tau         4.199e-05   5.120e-05       0.427
>> >>> chi2          106.393     156.446     106.471
>> >>>
>> >>> tau = 2/kex (I think that CPMGFit works with ms units).
>> >>>
>> >>> Obviously NESSY is not doing so well (likely due to using the horribly
>> >>> buggy scipy optimisation code) and relax and CPMGFit find the same
>> >>> result for this model.  The slight difference between relax and
>> >>> CPMGFit is that it looks like CPMGFit assumes the same R2 value for
>> >>> all static fields - which I think would be a little strange,
>> >>> especially if fast internal motions are also present for that spin
>> >>> system.
>> >>>
>> >>> Therefore I believe that this relax branch is in a state to accept
>> >>> code for the other models.  The backends for the
>> >>> relax_disp.cpmgfit_input and relax_disp.nessy_input could be also
>> >>> modified to handle these new models to allow for rigorous comparisons
>> >>> and debugging.  The dispersion infrastructure should no longer have
>> >>> any large changes, so feel free to start playing.
>> >>>
>> >>> Regards,
>> >>>
>> >>> Edward
>> >>
>> >>
>> >>
>> >> _______________________________________________
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>> >>
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