We've been using Fast DNAml to do some phylogenetic trees and have some
general questions about ML algorithms in general: Is it necessary to
bootstrap ML trees, since the ML algorithm is in itself a statistical
procedure? Also, should we expect bootstrap values to be inherently lower
with the ML algorithm (as opposed to parsimony or distance methods)?
We've run trees on a various data sets of 37 taxa with over 2000
characters and found that the ML algorithm consistently gives us MUCH
lower bootstrap values...thanks for any and all help!
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Bob Rumpf (rumpf.1 at osu.edu) OSU Molecular Genetics: "We MAKE Friends"
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*** Magic: The Gathering: It's not just a hobby anymore... ***
http://calvin.biosci.ohio-state.edu/~rrumpf/rrumpf.html
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