Hi, I'm new to ML / phylogenetic software and have a question regarding the importance of ML values.  Authors usually provide ML values, describe branches within tress as either strongly or weakly supported, and use ML values to justify their inferences.  The following information is cut from the RAxML manual (section 2.1) regarding ML values.....'My personal opinion is that topological search (number of topologies analysed) is much more important than exact likelihood scores in order to obtain a good tree'....... This suggests to me that bootstrapping is more important that ML values, does anyone have an opinion on this?  Support values in the ML tress I have made are

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