Sorry for being late on this thread -
but the completeness myth is one of these conventional wisdoms I am seriously questioning and completeness
as a global statistic is almost uninformative, short of telling you 'fewer than all recordable reflections up to the reported
(likely isotropic) resolution limit given whatever (likely isotropic) cutoff was applied'. Sounds not very clear to me.
Kay mentioned already that any information is better than no information, with the caveat that you cannot expect
map quality (being an upper limit for model quality - not going into precision vs accuracy issue here) corresponding to
the highest resolution reported, which is in reality frequently anisotropic (but not reported or reflected adequately
in the PDB reports).
We posted some remarks to this effect recently, pointing out that highly incomplete and anisotropic data can still
yield limited but useful information as long as your claim remains correspondingly modest. Section 3.4 in
http://journals.iucr.org/d/issues/2019/12/00/di5032/index.html
Having said that, while random incompleteness is not problematic, systematic reciprocal space incompleteness leads
to corresponding systematic real space effects on the map, the simplest being anisotropic data reflecting anisotropic
reciprocal map resolution. This is different for example when wedges are missing or absence of serial extinctions makes
space group determination more challenging (although we are almost in the age where 'record 360 deg of data and
try every SG' works). James Holton has video examples for incompleteness effects and some images are also in my book.
https://bl831.als.lbl.gov/~jamesh/movies/
Cheers & Happy Thanksgiving, BR
PS: A systemic rant regarding data quality representation can be found here
https://www.cell.com/structure/fulltext/S0969-2126(18)30138-2
------------------------------------------------------
Bernhard Rupp
http://www.hofkristallamt.org/
[log in to unmask]
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All models are wrong
but some are useful.
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-----Original Message-----
From: CCP4 bulletin board <[log in to unmask]> On Behalf Of Kay Diederichs
Sent: Monday, November 25, 2019 08:07
To: [log in to unmask]
Subject: Re: [ccp4bb] Xray-dataset usable despite low completeness ?
Dear Matthias,
Of course, high completeness is better than low completeness.
But as long as your low resolution is pretty much complete, there is no such thing as "too low completeness" at high resolution. Each reflection adds information to the map, and serves as a restraint in refinement.
best,
Kay
On Mon, 25 Nov 2019 14:11:52 +0100, Matthias Oebbeke <[log in to unmask]> wrote:
>Dear ccp4 Bulletin Board,
>
>I collected a dataset at a synchrotron beamline and got the statistics
>(CORRECT.LP) after processing (using xds) shown in the attached
>pdf-file.
>
>Do you think this dataset is usable, due to its low completeness? As
>you can see in the attached file the completeness is just 50% in the
>highest resolution shell, whereas the I over Sigma is above 2 and also
>the CC 1/2 (80%) and the R factors (36.8%) have reasonable values.
>Furthermore the overall statistic are good regarding R factor, CC 1/2
>and I over Sigma. The only problem seems to be the completeness. If I
>would set the cut-off at a lower resolution to get good completeness, I
>would throw away nearly half of my reflections.
>
>I'm happy to here your opinion. In Addition to that: The space group is
>orthorhombic and the dataset was collected over 120° using fine slicing
>(0.1°).
>
>
>Best regards,
>
>Matthias Oebbeke
>
>
>--
>Matthias Oebbeke, M.Sc.
>Research Group of Professor Dr. G. Klebe
>Institute of Pharmaceutical Chemistry
>Philipps-University Marburg
>Marbacher Weg 6, 35032 Marburg, Germany
>Phone: +49-6421-28-21392
>Mail: [log in to unmask]
>www.agklebe.de
>
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