Dear Murpholino,

     Although other factors may be involved, your observations may
have something to do with the fact that you are using the 20250409
build of XDS, about which we sent the following message to all users
of autoPROC yesterday: 

==
Dear all,

we've now had a chance to run more tests on the current 20250409 XDS
binary: the autoPROC website at

  
https://www.globalphasing.com/autoproc/wiki/index.cgi?ComparisonProcessing202504

contains the Wilson plots for the same set of PDB examples used
before. You will see the effect of the different XDS binaries and why
we currently recommend the 20230630 XDS binary (or the 20250327 one)
over others or the 20250409 one, as many of the latter show physically
implausible features in their Wilson plots. Our previous findings were
communicated to Wolfgang Kabsch and we expect an updated/fixed version
soon.

Kind regards

The autoPROC developers
==

     All our observations point towards the recurrence in this binary
of a problem similar to an earlier one (encountered in previous builds
but eliminated in the 20250327 build) that led to spurious positive
biases in the integrated intensities and in the I/sigI values. Yours
seem to be concordant with ours, so you could try and see what happens
if you use 20250327.

     If you are interested in the full story of our assessment of
previous XDS versions, you might want to take a look at 

  
https://www.globalphasing.com/autoproc/wiki/index.cgi?ComparisonProcessing202503


     With best wishes,

          Gerard.

--
On Wed, Apr 30, 2025 at 11:19:04AM -0600, Murpholino Peligro wrote:
> Dear all
> While processing a dataset and comparing results from XDS and DIALS, I
> encountered something strange. Please find the attached plots for reference
> 
> In summary, when using xds to process the dataset, got:
> - Higher R_merge values
> - Lower CC_1/2 (even got some negative values)
> - Higher I/sigI
> 
> Got almost the same completeness and multiplicity (this last one not shown,
> sorry).
> 
> I thought that the higher R_merge mtzs would result in noisier maps and
> therefore more waters would be added by phenix.refine but... got exactly
> the opposite (clearly seen in combined.png).
> 
> Running the 1.00 Å resolution MTZ files through Pairef yielded these
> suggested cutoffs:
> 
>    -
> 
>    1.45 Å for the XIA2/XDS dataset
>    -
> 
>    1.25 Å for the XIA2/DIALS dataset
> 
> Lowest R-free is for XIA2/XDS at 1.2 Å.
> 
> This is just one half of a dataset (45 degrees in rotation).
> 
> (If you want to play with it,
> https://www.dropbox.com/scl/fi/898ey1w04qvc91d701qqm/01.tar.xz?rlkey=30887xr4dqexvympjegrpr4ie&st=xchricjg&dl=0
> )
> 
> Processing was done with the CCP4i2 GUI; version 2.2.3 built on 07/Feb/25;
> Linux version 9.0.008.
> 
> XDS: VERSION Jan 19, 2025  BUILT=20250409  30-Apr-2025
> 
> And the quick refinement (adding anisotropic waters only if the high
> resolution cutoff was 1 or 1.1 A and setting protein atoms to be
> anisotropic at all resolutions) was done with the latest stable phenix
> version (1.21.2;  Release tag: 5419;  Platform: intel-linux-2.6-x86_64)
> 
> Is this related to
> https://www.globalphasing.com/autoproc/wiki/index.cgi?ComparisonProcessing202504
> ?
> 
> Thanks for your time.
> 
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