Scale many datasets: Difference between revisions

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→‎Step 6: analyze resulting XSCALE.HKL to find 3 groups of datasets: remark about -clu 3 option to xscale_isocluster
(→‎Step 6: analyze resulting XSCALE.HKL to find 3 groups of datasets: remark about -clu 3 option to xscale_isocluster)
 
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This pseudo-PDB file can be visualized in coot or so and shows three groups, consisting of datasets 1-12, 13-24 and 25-36, around coordinates (99,0,10), (98,10,-8) and (99,-13,-5), respectively. This sequential ordering agrees with the fact that the datasets were processed according to their names. In other words, the three groups found by [[xscale_isocluster]] correspond to the three different organisms, as expected.
This pseudo-PDB file can be visualized in coot or so and shows three groups, consisting of datasets 1-12, 13-24 and 25-36, around coordinates (99,0,10), (98,10,-8) and (99,-13,-5), respectively. This sequential ordering agrees with the fact that the datasets were processed according to their names. In other words, the three groups found by [[xscale_isocluster]] correspond to the three different organisms, as expected.
An even better way is to run
xscale_isocluster -clu 3 XSCALE.HKL
and this will give you three output files XSCALE.1.INP XSCALE.2.INP XSCALE.3.INP each with the correct 12 datasets.


Thanks, Graeme! This is nice and shows the possibility to differentiate between crystals of different but similar content.
Thanks, Graeme! This is nice and shows the possibility to differentiate between crystals of different but similar content.
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