From: Ingo P. Korndoerfer
Date: 12 January 2012 14:00
hello,
my poor dementia ridden brain has gone on screensaver ...
i need to calculate the completeness and redundancy of reflections in
batches or ranges of batches in a
multi-record .mtz file.
sftools can do this, but the numbers are pretty much meaningless, i.e.,
my feeling is, if i measure
10% of reflections 10 times, it will give me 100% completeness.
second option is, to select the batches i want, purge the rest, force
sftools to "merge average"
and then ask for the completeness. this works. but it requires
re-reading of the complete
dataset for every batch or segment of batches i am interested in, which
is too slow,
any ideas greatly appreciated :-)
1000 thanks already
ingo
----------
From: Phil Evans
You can do this with Scala or Aimless. Scale everything first, write out the scaled unmerged file, then read it again "onlymerge" and a batch selection (Aimless also gives a cumulative completeness)
Phil
Date: 12 January 2012 14:00
hello,
my poor dementia ridden brain has gone on screensaver ...
i need to calculate the completeness and redundancy of reflections in
batches or ranges of batches in a
multi-record .mtz file.
sftools can do this, but the numbers are pretty much meaningless, i.e.,
my feeling is, if i measure
10% of reflections 10 times, it will give me 100% completeness.
second option is, to select the batches i want, purge the rest, force
sftools to "merge average"
and then ask for the completeness. this works. but it requires
re-reading of the complete
dataset for every batch or segment of batches i am interested in, which
is too slow,
any ideas greatly appreciated :-)
1000 thanks already
ingo
----------
From: Phil Evans
You can do this with Scala or Aimless. Scale everything first, write out the scaled unmerged file, then read it again "onlymerge" and a batch selection (Aimless also gives a cumulative completeness)
Phil
No comments:
Post a Comment