Ctruncate was updated in a manner which breaks xia2 in Update 13 - this has been fixed in the subversion-version but this has not been circulated. Until I get a chance to test the current state of code for release, please shout if you need an updated version!
As usual xia2.support@gmail.com.
Tuesday, 29 January 2013
Tuesday, 22 January 2013
Remerging xia2 data to a lower resolution (technical)
A fairly common question I get from people is how to remerge data from xia2 to a lower resolution, without rerunning the whole xia2 process. There are three answers to this. The first is that xia2 does not do this, which is not so helpful. The second is that this will be in the pipeline at some point along with being able to retrospectively change other decisions and have xia2 just run with those. The third, which follows, is that there is a relatively straightforward way of doing this with tools included with xia2 and CCP4.
The Example
The example to be considered here is some myoglobin data, where diffraction went past the edge of the detector, and xia2 gave:
For AUTOMATIC/DEFAULT/SAD
High resolution limit 1.20 5.39 1.20
Low resolution limit 39.15 39.15 1.24
Completeness 87.8 96.0 18.7
Multiplicity 7.4 9.3 1.6
I/sigma 43.3 108.4 2.9
Rmerge 0.025 0.013 0.206
Rmeas(I) 0.031 0.018 0.314
Rmeas(I+/-) 0.028 0.014 0.284
Rpim(I) 0.011 0.006 0.214
Rpim(I+/-) 0.013 0.007 0.195
Wilson B factor 6.648
Partial bias 0.000 0.000 0.000
Anomalous completeness 79.4 95.7 8.3
Anomalous multiplicity 3.6 5.0 1.1
Anomalous correlation 0.418 0.506 -0.119
Anomalous slope 1.345 0.000 0.000
dF/F 0.037
dI/s(dI) 1.104
Total observations 424674 6953 1428
Total unique 57065 746 879
The Example
The example to be considered here is some myoglobin data, where diffraction went past the edge of the detector, and xia2 gave:
For AUTOMATIC/DEFAULT/SAD
High resolution limit 1.20 5.39 1.20
Low resolution limit 39.15 39.15 1.24
Completeness 87.8 96.0 18.7
Multiplicity 7.4 9.3 1.6
I/sigma 43.3 108.4 2.9
Rmerge 0.025 0.013 0.206
Rmeas(I) 0.031 0.018 0.314
Rmeas(I+/-) 0.028 0.014 0.284
Rpim(I) 0.011 0.006 0.214
Rpim(I+/-) 0.013 0.007 0.195
Wilson B factor 6.648
Partial bias 0.000 0.000 0.000
Anomalous completeness 79.4 95.7 8.3
Anomalous multiplicity 3.6 5.0 1.1
Anomalous correlation 0.418 0.506 -0.119
Anomalous slope 1.345 0.000 0.000
dF/F 0.037
dI/s(dI) 1.104
Total observations 424674 6953 1428
Total unique 57065 746 879
From processing with xia2 -3d ... Clearly it would be nice to have somewhere close to complete data in the outer shell, so a limit of around 1.35A would be appropriate (looking at the Scala log file.) So, this is what we need to do:
mkdir remerge
cd remerge/
get_ccp4_commands ../LogFiles/AUTOMATIC_DEFAULT_scala.log > runit
The last command reads the scala log file and essentially reconstructs an input file to rerun the job:
HKLIN /tmp/example/DEFAULT/scale/AUTOMATIC_DEFAULT_sorted.mtz
/tmp/example/DEFAULT/scale/AUTOMATIC_DEFAULT_scaled.mtz /tmp/example/DEFAULT/scale/AUTOMATIC_DEFAULT_scaled.mtz
SYMINFO /dls_sw/apps/ccp4/64/6.3.0/13nov2012/ccp4-6.3.0/lib/data/syminfo.lib
bins 20
resolution 1.200000
run 1 batch 1 to 321
resolution run 1 high 1.200000
name run 1 project AUTOMATIC crystal DEFAULT dataset SAD
scales constant
exclude sdmin 2.0
sdcorrection fixsdb noadjust norefine both 1.0 0.0
anomalous on
So we can edit this to do what we want:
scala \
HKLIN /tmp/example/DEFAULT/scale/AUTOMATIC_DEFAULT_sorted.mtz \
HKLOUT remerge.mtz << eof
bins 20
resolution 1.35
run 1 batch 1 to 321
name run 1 project AUTOMATIC crystal DEFAULT dataset SAD
scales constant
exclude sdmin 2.0
sdcorrection fixsdb noadjust norefine both 1.0 0.0
anomalous on
eof
and run:
bash runit
to get
...
Overall InnerShell OuterShell
Low resolution limit 39.15 39.15 1.39
High resolution limit 1.35 6.04 1.35
Rmerge 0.024 0.013 0.108
Rmerge in top intensity bin 0.014 - -
Rmeas (within I+/I-) 0.027 0.014 0.139
Rmeas (all I+ & I-) 0.030 0.018 0.140
Rpim (within I+/I-) 0.012 0.007 0.086
Rpim (all I+ & I-) 0.010 0.006 0.070
Fractional partial bias 0.000 0.000 0.000
Total number of observations 397951 4729 12624
Total number unique 46162 521 3333
Mean((I)/sd(I)) 52.1 107.9 10.5
Completeness 99.7 94.4 97.9
Multiplicity 8.6 9.1 3.8
Anomalous completeness 96.6 93.9 78.8
Anomalous multiplicity 3.9 4.9 1.9
DelAnom correlation between half-sets 0.410 0.587 0.115
Mid-Slope of Anom Normal Probability 1.422 - -
...
i.e. essentially complete data. To get this output in scalepack format, adjust the script to:
scala \
HKLIN /tmp/example/DEFAULT/scale/AUTOMATIC_DEFAULT_sorted.mtz \
SCALEPACK unmerged.sca \
HKLOUT remerge.mtz << eof
bins 20
output polish unmerged
resolution 1.35
run 1 batch 1 to 321
name run 1 project AUTOMATIC crystal DEFAULT dataset SAD
scales constant
exclude sdmin 2.0
sdcorrection fixsdb noadjust norefine both 1.0 0.0
anomalous on
eof
and run again - now you can see why I usually just advise running xia2 again with the -resolution flag :o)
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