Mothur 1.27, possible unifrac.unweighted problem

mothur bugs
1

Hi,

I Think there may be a bug in the weighted unifrac command in mothur 1.27.0. With my data I found significant differences between all groups with both parsimony and unifrac.weighted. In order to check my results I randomized all my sequences with regard to the treatment groups, the parsimony p-values were all between .04 and 1.00 but the unifrac.weighted results all came back as highly significant. Maybe it is something I am doing wrong but the exact same group and tree files worked with parsimony. There are a lot of duplicate sequences in my file but isn’t that exactly what weighted is meant to deal with. Anyways, maybe someone should check it out.

-Squid

2

Well, you know the three methods do three totally different things, right? If you can send your tree, name, and group files, we can take a look.

3

Note: the problem I am having is with unifrac.weighted, not unifrac.unweighted, my mistake. I did not test the unweighted unifrac.