Scaling with SCALA (or better: aimless): Difference between revisions
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MINIMUM_I/SIGMA=50 | MINIMUM_I/SIGMA=50 | ||
CORRECTIONS= | CORRECTIONS= | ||
in [[XDS.INP]]. MINIMUM_I/SIGMA=50 prevents the sigmas from being adjusted. This also prevents outlier rejection and geometry refinement. Since the latter may be desired it would be most appropriate to use MINIMUM_I/SIGMA=50 only after [[Optimization]] (re-cycling of GXPARM.XDS to XPARM.XDS). Prevention of outlier rejection would be also obtained by using (e.g.) WFAC1=2. | NBATCH=1 | ||
in [[XDS.INP]]. MINIMUM_I/SIGMA=50 prevents the sigmas from being adjusted. This also prevents outlier rejection and geometry refinement. Since the latter may be desired it would be most appropriate to use MINIMUM_I/SIGMA=50 only after [[Optimization]] (re-cycling of GXPARM.XDS to XPARM.XDS). Prevention of outlier rejection would be also obtained by using (e.g.) WFAC1=2. NBATCH=1 removes any basic scaling done by CORRECT (as referred to by [http://journals.iucr.org/d/issues/2012/05/00/tz5002/index.html Krojer and van Delft]). | |||
A good option might be to make CORRECT only do MODULATION correction since this is not easily available in SCALA: | A good option might be to make CORRECT only do MODULATION correction since this is not easily available in SCALA: |
Revision as of 11:03, 26 April 2012
Using combat
An example script (contributed by Clemens Vonrhein) to convert XDS_ASCII.HKL into a CCP4 multi-record MTZ file is:
#!/bin/csh -f # # Scale data from XDS # combat hklin XDS_ASCII.HKL hklout junk.mtz << end-combat MONITOR 10000 INPUT XDSASCII ADDBATCH 200 # optional: modify batch numbers TITLE Test combat NAME PROJECT myproject CRYSTAL mycrystal DATASET native END end-combat sortmtz hklout junk_sort.mtz << end-sort H K L M/ISYM BATCH I SIGI junk.mtz end-sort scala hklin junk_sort.mtz hklout junk_scaled.mtz << end-scala # scale using default parameters run 1 batch 1 to 1000 scales rotation spacing 5 bfactor off # if xds wouldn't have already scaled the data, e.g. # scales rotation spacing 5 secondary 4 bfactor on brotation spacing 20 # would be more appropriate (this is what "quickscale" in iMosflm does) anomalous on end-scala truncate hklin junk_scaled.mtz \ hklout junk_truncated.mtz <<end-trunc anomalous yes nresidue 1049 labout F=FP SIGF=SIGFP DANO=DANO_sulf SIGDANO=SIGDANO_sulf end-trunc
In this way one gets the well-known outputs of SCALA and TRUNCATE, and the MTZ file junk_truncated.mtz .
If one really wants to completely switch scaling off in CORRECT, one can use
MINIMUM_I/SIGMA=50 CORRECTIONS= NBATCH=1
in XDS.INP. MINIMUM_I/SIGMA=50 prevents the sigmas from being adjusted. This also prevents outlier rejection and geometry refinement. Since the latter may be desired it would be most appropriate to use MINIMUM_I/SIGMA=50 only after Optimization (re-cycling of GXPARM.XDS to XPARM.XDS). Prevention of outlier rejection would be also obtained by using (e.g.) WFAC1=2. NBATCH=1 removes any basic scaling done by CORRECT (as referred to by Krojer and van Delft).
A good option might be to make CORRECT only do MODULATION correction since this is not easily available in SCALA:
CORRECTIONS= MODULATION
Using pointless
An alternative way of going from a XDS formatted reflection file to a multi-record MTZ file (suitable for SCALA and TRUNCATE, but not directly for structure solution which requires single-record MTZ files) is via the pointless program (see also "Running Pointless and Scala"). Note that this way also means that XDS is used to do most of the scaling (because XDS_ASCII.HKL is written by CORRECT) but this could be switched off in XDS.INP (partly or fully). It's very easy to do:
pointless -copy xdsin XDS_ASCII.HKL hklout XDS_ASCII.mtz
The advantage of this route is, that the batch headers of the resulting MTZ file are correct - COMBAT doesn't seem to write complete and accurate headers. If one then needs to edit the batch information in this file, the CCP4 program REBATCH can be used (optional):
rebatch hklin XDS_ASCII.mtz hklout XDS_ASCII_rebatch.mtz <<end_ip BATCH ALL START 1001 BATCH ALL PNAME Lysozyme XNAME Hg-Soak DNAME peak end_ip sortmtz hklout sortmtz.mtz <<end_ip H K L M/ISYM BATCH XDS_ASCII_rebatch.mtz end_ip
Note: another program to work with those multi-record MTZ files is REINDEX.
See also
XDSCONV to get the MTZ file directly (i.e. circumventing SCALA)