If you are using CCP4I2 and use the task "Import merged data" that sort of
reprocesses that data through AIMLESS. You get all the usual graphsv
resolution - completeness, I/SigI , Wilson plot, Second moments etc and
from those can make a sensible decision on where the resolution limit
should be set..
In my experience rescaling isnt usually necessary - the scales are weighted
by SigI and very weak data has little effect..
Eleanor

On Thu, 18 Apr 2024 at 09:22, Harry Powell <
0000193323b1e616-dmarc-requ...@jiscmail.ac.uk> wrote:

> Hi
>
> Only comment is that (surely) any decent refinement program these days
> would down-weight any reflections with negligible I/sig(I) (for example,
> those in the “unobserved” high resolution regions) so that they do not
> contribute (significantly) to the refinement. Or am I wrong (I don’t mind
> being wrong, and since I am a little rusty in these mattrers I would be
> very happy to be educated)?
>
> Doesn’t Aimless produce a table with the cumulative statistics at various
> resolution limits? So you don’t even need to re-scale & merge to get the
> stats to whatever your chosen high resolution limit is (I’d choose CC -1/2
> = 0.30, as Doeke suggests)? Do HKL or XSCALE do the same (sorry, I haven’t
> looked at their output for quite some time)?
>
> Just my two ha’porth
>
> Harry
>
> > On 17 Apr 2024, at 21:35, Hekstra, Doeke Romke <
> doeke_heks...@harvard.edu> wrote:
> >
> > Hi Matt,
> >
> > I appreciate disagreement and comments from colleagues. My two cents are
> that it seems unnecessary to repeat scaling and merging, or any earlier
> step. If you want to remove structure factor amplitudes or merged
> intensities from the MTZ file you can do so using MTZUTILS or similar
> functionality in CCP4 (
> https://www.ccp4.ac.uk/html/mtzutils.html#generalresolution). For
> refinement, you can specify the desired resolution range in your favorite
> refinement program.
> >
> > My personal convention is to use CC1/2 = 0.30 as the point to which
> retain data and <I/sigI> = 2 as the nominal resolution of the dataset. If
> you have the HKL2000 scaling log, you should be able to retrieve this
> information. I frankly wish we’d just deposit all data in the PDB rather
> than truncate based on some criterion or another.
> >
> > Best, Doeke
> >
> > From: Matt Mcleod <mjmcleo...@gmail.com>
> > Sent: Wednesday, April 17, 2024 4:12 PM
> > To: Hekstra, Doeke Romke <doeke_heks...@harvard.edu>
> > Cc: CCP4BB@JISCMAIL.AC.UK
> > Subject: Re: [ccp4bb] Rescale merged data?
> >
> > Sure thing.
> >
> > A former student left somewhere between 30-50 datasets but they scaled
> the data to the detector corners (or maybe edge) in HKL2000.  There are
> many of the high-resolution bins with no reflections in them.  He then went
> forward and merged this data, presumably in HKL2000 again and did his model
> building/refinement.   We now need to re-refine the models against this
> data for publication but we need a more suitable resolution cutoff for the
> data.
> >
> > Rather than go back and index/integrate all the data and then rescale
> the data to a more appropriate place (then merge), I was wondering if there
> was a way to take the merged reflections as either .sca or .mtz (from
> scalepacktomtz output) and then rescale to a more appropriate resolution.
> It doesn't seem like the student left unmerged data.
> >
> > So, nothing fancy (aniostropy etc), there is just a lot of data that
> needs to be adjusted and I am trying to avoid reprocessing all the frames
> again.
> >
> > Matt
> >
> > On Wed, 17 Apr 2024 at 15:59, Hekstra, Doeke Romke <
> doeke_heks...@harvard.edu> wrote:
> > Hi Matt,
> >
> > It would be helpful if you could describe your case in more detail. Do
> you want to change the resolution cutoff after scaling? Do you want to keep
> more data? Fewer? Or do you mean something different such as truncation to
> generate amplitudes, application of anisotropic resolution cutoffs,  or
> outlier rejection? Are you referring to data that were scaled in HKL2000?
> >
> > Best, Doeke
> >
> > -----Original Message-----
> > From: CCP4 bulletin board <CCP4BB@JISCMAIL.AC.UK> On Behalf Of Matt
> McLeod
> > Sent: Wednesday, April 17, 2024 3:04 PM
> > To: CCP4BB@JISCMAIL.AC.UK
> > Subject: [ccp4bb] Rescale merged data?
> >
> > Hi all,
> >
> > I am looking at a old students data and it looks like they didn't
> properly cut off the data during scaling.  All of the files I have appear
> to be the merged .sca (or mtz after converting with scalepacktomtz) - is
> there a way to retruncate the data after merging or do I have to reprocess
> the data?
> >
> > Thanks,
> >
> > ########################################################################
> >
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> >
> > --
> > Matthew Jordan McLeod, PhD
> > Post-Doctoral Fellow - Cornell University
> >
> >
> >
> >
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