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 : [email protected] Url: http://www.verseeslab.structuralbiology.be
