> > > Chi2 is unusually high at lower resolution (Chi2 is >3 from 3.5A as
> shown
> > > below) and there is a relatively high percentage of rejections (>1.5 %).
> > >
> >
>  
>  Chi^2 in Scalepack *must* be adjusted by changing the expected errors to be
> about 1.
>  Until then, I would not reject reflections. Only then I would reject
> reflections and then readjust chi^2 to be 1 again.
>  Having said that its quite a while since I used scalepack.
>  Maybe in the age of automation scalepack does this now automagically in the
> context of HKL2000, but a Chi^2 of 3
>  at low resolution indicates that some reflections and very likely their
> sigmas do not have realistic intensities, and also
>  that your rejections might be excessive.

Just a point here.  The high chi^2 values you see in the scalepack output
are because of the *anomalous signal*, not because of any pathology with the
data.  I assume scalepack was run with the 'anomalous' card specified.  In
this case (I believe) the + and - reflections will be treated as equivalent
for scaling and calculating statistics, but will be written to the .sca file
separately.  Chi^2 will be screwed up because it detects a large deviation
from random in the reflections (i.e. the anomalous difference between I(+)
and I(-).  You might actually be rejecting the reflections with the *most*
anomalous signal since they are the ones that deviate furthest from your
random-noise model.

If you want your chi^2 values to be meaningful you need to use the 'scale
anomalous' card to separate I(+) and I(-) for scaling/statistics as well as
the output .sca.  The scalepack manual warns against this flag, but I've
never had a problem using it (so long as you have reasonably redundant data).

So, re-process with 'scale anomalous' and then run autoSHARP in all
sub-spacegroups of P212121 - as Tassos will tell you this works a treat!

Cheers,

Stephen

-- 
Dr Stephen Graham
Nuffield Medical Fellow
Division of Structural Biology
Wellcome Trust Centre for Human Genetics
Roosevelt Drive
Oxford OX3 7BN
United Kingdom
Phone: +44 1865 287 549

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