First of all, you are of course correct, Rmerge (as Rmeas, Rpim, CC1/2, I/sigma
...) is not detector-dependent.
Second, when looking at the "experiment" section of the PDB deposition, I note
that some Rmerge values are even given there! The statistics there are dubious,
e.g. seemingly the I/si
Hi Clemens,
I fully agree with you, especially on overall data collection strategy
and on image deposition.
It looks like an interesting and mysterious case. Mean I Over Sigma is
reported as 2.2 - I'm curious why resolution was not extend. Since they
disregarded Rmerge (a reasonable thing to
Hi,
On Wed, Jul 31, 2019 at 07:11:10PM +0100, Weston Lane wrote:
> Thanks for the response. I did look at the multiplicity of the
> datasets in their table and while I suppose 6.9x redundancy is sort
> of high for P2 spacegroup it's actually lower than some of the other
> datasets (presumably non-
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Edward,
Thanks for the response. I did look at the multiplicity of the datasets in
their table and while I suppose 6.9x redundancy is sort of high for P2
spacegroup it's actually lower than some of the other datasets (presumably
non-Eiger) in the table with good overall Rmerge (e.g. a C2 datase
I think it is not really the detector, but the strategy. If you decrease
exposure time by a factor of ten and make up for it by 10 x higher redundancy,
then obviously R-merge, which is a measure of accuracy of the individual
frames, is going to suffer. Chi^2 statistics can distinguish this from
I was looking at the following structure in the PDB:
http://www.rcsb.org/structure/6HR5 I noticed that the R/Rfree stats were
pretty high for 2.9A resolution so I followed up by looking for the "Table 1"
statistics in the journal article. Link to article:
https://www.nature.com/articles/s41
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