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!
>Gerhard
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
