Phylogenetic mixtures on a single tree can mimic a tree of another topology

Biology – Quantitative Biology – Populations and Evolution

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

Phylogenetic mixtures model the inhomogeneous molecular evolution commonly observed in data. The performance of phylogenetic reconstruction methods where the underlying data is generated by a mixture model has stimulated considerable recent debate. Much of the controversy stems from simulations of mixture model data on a given tree topology for which reconstruction algorithms output a tree of a different topology; these findings were held up to show the shortcomings of particular tree reconstruction methods. In so doing, the underlying assumption was that mixture model data on one topology can be distinguished from data evolved on an unmixed tree of another topology given enough data and the ``correct'' method. Here we show that this assumption can be false. For biologists our results imply that, for example, the combined data from two genes whose phylogenetic trees differ only in terms of branch lengths can perfectly fit a tree of a different topology.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Phylogenetic mixtures on a single tree can mimic a tree of another topology does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Phylogenetic mixtures on a single tree can mimic a tree of another topology, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Phylogenetic mixtures on a single tree can mimic a tree of another topology will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-404576

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.