Like Ian, I tend to use as much data as is reasonable - but it is useful to look at the Rfactors plot again resolution in REFMAC output. If this shoots sky high at the limit, the data is probably not very useful in refinement or map calculation (and will automatically be down-weghted by the ML weighting) . So all it does is make your Rfactors look worse!
Eleanor
On 6 Aug 2012, at 12:21, Marcus Fislage wrote:
Dear all,
We have in our lab a data set collected and are discussing where to cut
the resolution for refinement. According to the work of Kai Diederichs
and Andy Karplus one should use CC 1/2 of 12.5% (in case it is
significant) to determine the highest resolution independent of the
I/sigI and R factor rules used earlier. But I would like to know if this
also counts for low completeness data?
The problem is that we have in the highest resolution shell an I/sigI of
4, a good cc1/2 but only a completeness of 30%. Which I guess means we
measured the high resolution data very accurate but not complete. Would
you still use the low complete data in the highest resolution shell or
should that be still a valid argument to cut your data towards lower
resolution?
My guess would be to use the data still even if the completeness drops,
since the data we measured is good and according to CC1/2 significant.
Are we right to do so or would you disagree?
Thanks for any input
Marcus
--
Marcus Fislage
Structural Biology Brussels
Vrije Universiteit Brussel
Department of Structural Biology, VIB
Oefenplein, Gebouw E
Pleinlaan 2,
1050 Brussel
Belgium
Tel: +32-2-629 18 51
Email : [log in to unmask]
Url: http://www.verseeslab.structuralbiology.be