Hi,
Something strange is happening in your analysis. Unfortunately with
the limited information in your post, I really cannot start to track
it down. The fact that the local_tm and sphere runs are the same in
both is a good sign. Do you have the number of iterations required
for the
Hi Edward,
As a followup to this, I performed two relax runs using six datasets
(r1, r2 and noe at two fields) with two identical structures, but one
had been rotated/translated using the quadric_diffusion program
provided by the Palmer lab. For one structure, a prolate tensor is
chosen,
Hi All,
I am working with five relaxation data sets (r1, r2 and noe at 400
MHz; r1 and r2 and 600 MHz), and therefore cannot use the
full_analysis.py protocol. I have obtained estimates for tm,
Dratio, theta and phi using Art Palmer's quadric_diffusion program.
I modified the
Hi,
If you have 5 relaxation data sets, you can use the full_analysis.py
script but you will need to remove model tm8. This is the only model
with 6 parameters and doing the analysis without it might just work
(the other tm0 to tm9 models may compensate adequately).
I've looked at the script
Hi Edward,
Thanks for the response. So, with 5 relaxation data sets, only tm8
should be removed -- no need to remove m8 as well? Also, if only 4
relaxation data sets were available, could {tm6-8 and m8} be removed
to use the full_analysis.py protocol?
Thanks,
Doug
On Jan 10, 2008, at
Yes, with 4 data sets you could remove tm6 to tm8. You would also
need to remove m8. But in this situation, you will be significantly
biasing the initial position (the starting universe will be further
away from that of the universal solution). I don't know how well this
new protocol will
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