Hi,
thanks for the helpful suggestions in response to my previous mail!
I have another one:
Following Scenario:
I classified my dataset into 10 3D classes and now want to auto-refine one of the classes.
I extracted a class into a new STAR file (~15k particles)...
Of course the particle number is now greatly reduced and therefore I get a lot of warnings of the kind:
"WARNING: There are only 2 particles in group 2016 of half-set 1"
How should I handle this? Just turn off the intensity scale correction?
Or is there a way to tell relion to re-use the more reliable intensity scale corrections that were previously determined from the larger, aggregate dataset?
And should this be done?
In general, what are the suggested options to auto-refine a 3D class. Are they in any way different from the first auto-refine step before 3D classification?
Cheers
--
Matthias Brunner <[log in to unmask]>
PhD student, Marlovits Lab
-Research Institute of Molecular Pathology (IMP)
-Inst of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA)
Dr. Bohr-Gasse 3, A-1030 Vienna, Austria
Phone: +43 1 79044 4791
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