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Dear Graeme

Thanks for the reply. 

Is there a way we can define the number of bins in Scala / Aimless?

This sounds to us a weird case as we normally expect high innershell completeness. The only reason we could think of would be error in beam stopper distance (which doesn't seem to be the real reason - no one has ever moved it during our entire beam time!)

Regards

Sam 

Biochemistry Programme, School of Life Sciences, CUHK


On 28 April 2016 at 21:06, <[log in to unmask]> wrote:
Dear Sam

If you look at the resolution shells you will see that they are rather different - if you used the same number of bins you would probably end up with much more similar results.

There are very few reflections at low resolution, changing the limit from 9A to 6A makes a *huge* difference

best wishes Graeme

________________________________
From: CCP4 bulletin board [[log in to unmask]] on behalf of Sam Tang [[log in to unmask]]
Sent: 28 April 2016 14:01
To: ccp4bb
Subject: [ccp4bb] Discrepancies between Scala and Aimless - innershell completeness

Dear all

I guess I may have got stuck with an interesting scenario during data reduction. It happens that for a P1 native data set processed to 2.0 A, Aimless (via imosflm) returns the following statistics:

Overall  InnerShell  OuterShell
Low resolution limit                       56.29     56.29      2.05
High resolution limit                       2.00      8.94      2.00

Rmerge  (within I+/I-)                     0.075     0.054     0.119
Rmerge  (all I+ and I-)                    0.043     0.027     0.117
Rmeas (within I+/I-)                       0.107     0.076     0.169
Rmeas (all I+ & I-)                        0.061     0.038     0.166
Rpim (within I+/I-)                        0.075     0.054     0.119
Rpim (all I+ & I-)                         0.043     0.027     0.117
Rmerge in top intensity bin                0.057        -         -
Total number of observations              104938       641      7753
Total number unique                        53980       354      4056
Mean((I)/sd(I))                              8.0      11.5       3.9
Mn(I) half-set correlation CC(1/2)         0.990     0.995     0.960
Completeness                                89.1      52.7      90.6
Multiplicity                                 1.9       1.8       1.9

The first thing that caught our attention was the low innershell completeness which was only 52.7%. Keeping the same input mtz, Scala (again via imosflm) returns the following:

Overall  InnerShell  OuterShell
  Low resolution limit                       56.29     56.29      2.11
  High resolution limit                       2.00      6.32      2.00

  Rmerge                                     0.074     0.071     0.139
  Rmerge in top intensity bin                0.056        -         -
  Rmeas (within I+/I-)                       0.105     0.101     0.196
  Rmeas (all I+ & I-)                        0.059     0.040     0.206
  Rpim (within I+/I-)                        0.074     0.071     0.139
  Rpim (all I+ & I-)                         0.042     0.028     0.146
  Fractional partial bias                   -0.045    -0.063    -0.093
  Total number of observations              104951      2735     15336
  Total number unique                        53982      1460      7997
  Mean((I)/sd(I))                              7.1       9.7       4.2
  Mn(I) half-set correlation CC(1/2)         0.000     0.000     0.000
  Completeness                                89.1      75.9      90.7
  Multiplicity                                 1.9       1.9       1.9

Innershell completeness jumps to 75.9% while overall and outershell completeness remain almost the same. Having asked crystallographers around no one has encountered this problem as usually they worry more about outershell completeness. Thus why is it so and would this obscure downstream calculations e.g. MR and refinement?

Thanks in advance!

PS -  we have recently raised so many interesting (yet may be stupid) questions here as we have been dealing with quite a number of different data sets lately. We truly appreciate every efforts in replying and the advice received. Thank you for all these.

Regards

Sam Tang

Biochemistry Programme, School of Life Sciences, CUHK


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