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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