Hi,
I have a question regarding resampling/thinning in LogCombiner and creating MCC trees in TreeAnnotator. For a publication I would like to present both a posterior distibution of trees (e.g. 1000 or 10 000 trees) as well as an MCC tree and I was wondering whether these should be generated separately or whether it is fine to first combine trees and resample at a lower frequency in LogCombiner, and then generate an MCC tree from the resulting distribution of trees using TreeAnnotator?
I have been running four independent chains in BEAST v1.8 for 250 million generations each, sampling every 5000 generations. If I was to combine these in LogCombiner (after removing 50 mill. generations as burn-in from each chain) without resampling at a lower frequency, I would end up with 160 000 trees.
Thus, is it fine to resample these trees at a lower frequency that would give me say 1000 trees and create an MCC tree from those? Or should I ideally input all 160 000 trees into TreeAnnotator?
Cheers,
Peter