QU: spectral analysis

Paterson, Adrian Mark patersoa at lincoln.ac.nz
Thu May 18 10:16:55 EST 1995

In article <3pae4j$pnv at mserv1.dl.ac.uk> GERHARD STEINER <GSTEINER at zoo.univie.ac.at> writes:
>From: GERHARD STEINER <GSTEINER at zoo.univie.ac.at>
>Subject: QU: spectral analysis
>Date: 16 May 1995 15:50:59 +0100

>Can anyone in this forum explain the principles of "spectral 
>analysis" of sequence data? Is there any biological significance in 
>this method?

>Hoping for most enlightening replies!


One way of describing what spectral analysis does is that it assesses how much 
support AND conflict there is in a dataset for every possible edge (or 
branch, both internal and terminal).  This means that the dataset can be 
interpreted without a particular tree in mind or,  conversely,  you can test 
the support of conflicting hypotheses of relationships.  The graph of the 
spectral analysis is a very nice way of summarising the various signals in a 
given dataset.

Adrian Paterson
Lincoln University
New Zealand

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