An algebraic analysis of the two state Markov model on tripod trees

Biology – Quantitative Biology – Populations and Evolution

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

32 pages, four figures

Scientific paper

Methods of phylogenetic inference use more and more complex models to generate trees from data. However, even simple models and their implications are not fully understood. Here, we investigate the two-state Markov model on a tripod tree, inferring conditions under which a given set of observations gives rise to such a model. This type of investigation has been undertaken before by several scientists from different fields of research. In contrast to other work we fully analyse the model, presenting conditions under which one can infer a model from the observation or at least get support for the tree-shaped interdependence of the leaves considered. We also present all conditions under which the results can be extended from tripod trees to quartet trees, a step necessary to reconstruct at least a topology. Apart from finding conditions under which such an extension works we discuss example cases for which such an extension does not work.

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

An algebraic analysis of the two state Markov model on tripod trees 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 An algebraic analysis of the two state Markov model on tripod trees, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and An algebraic analysis of the two state Markov model on tripod trees will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-574270

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