I would first look at the dataset stats and define a resolution range mainly based on I/sigI >1 and cc1/2 >0.5. Based on this, would take the good resolution datasets only.
Further for comparing these mtz after refinement, I personally prefer looking at the electron density maps rather than just going with R values. For this I normally select two or three regions where I see weak density map and then compare different datasets. Shipra On Wed, 27 Oct 2021 at 9:15 PM, Murpholino Peligro <murpholi...@gmail.com> wrote: > Let's say I ran autoproc with different combinations of options for a > specific dataset, producing dozens of different (but not so different) mtz > files... > Then I ran phenix.refine with the same options for the same structure but > with all my mtz zoo > What would be the best metric to say "hey this combo works the best!"? > R-free? > Thanks > > M. Peligro > > ------------------------------ > > To unsubscribe from the CCP4BB list, click the following link: > https://www.jiscmail.ac.uk/cgi-bin/WA-JISC.exe?SUBED1=CCP4BB&A=1 > ######################################################################## To unsubscribe from the CCP4BB list, click the following link: https://www.jiscmail.ac.uk/cgi-bin/WA-JISC.exe?SUBED1=CCP4BB&A=1 This message was issued to members of www.jiscmail.ac.uk/CCP4BB, a mailing list hosted by www.jiscmail.ac.uk, terms & conditions are available at https://www.jiscmail.ac.uk/policyandsecurity/
