Literature DB >> 16823581

On the ancestral compatibility of two phylogenetic trees with nested taxa.

Mercè Llabrés1, Jairo Rocha, Francesc Rosselló, Gabriel Valiente.   

Abstract

Compatibility of phylogenetic trees is the most important concept underlying widely-used methods for assessing the agreement of different phylogenetic trees with overlapping taxa and combining them into common supertrees to reveal the tree of life. The notion of ancestral compatibility of phylogenetic trees with nested taxa was recently introduced. In this paper we analyze in detail the meaning of this compatibility from the points of view of the local structure of the trees, of the existence of embeddings into a common supertree, and of the joint properties of their cluster representations. Our analysis leads to a very simple polynomial-time algorithm for testing this compatibility, which we have implemented and is freely available for download from the BioPerl collection of Perl modules for computational biology.

Mesh:

Year:  2006        PMID: 16823581     DOI: 10.1007/s00285-006-0011-4

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  3 in total

1.  The Bioperl toolkit: Perl modules for the life sciences.

Authors:  Jason E Stajich; David Block; Kris Boulez; Steven E Brenner; Stephen A Chervitz; Chris Dagdigian; Georg Fuellen; James G R Gilbert; Ian Korf; Hilmar Lapp; Heikki Lehväslaiho; Chad Matsalla; Chris J Mungall; Brian I Osborne; Matthew R Pocock; Peter Schattner; Martin Senger; Lincoln D Stein; Elia Stupka; Mark D Wilkinson; Ewan Birney
Journal:  Genome Res       Date:  2002-10       Impact factor: 9.043

2.  Phylogenetic inference based on matrix representation of trees.

Authors:  M A Ragan
Journal:  Mol Phylogenet Evol       Date:  1992-03       Impact factor: 4.286

3.  Supertree algorithms for ancestral divergence dates and nested taxa.

Authors:  Charles Semple; Philip Daniel; Wim Hordijk; Roderic D M Page; Mike Steel
Journal:  Bioinformatics       Date:  2004-04-08       Impact factor: 6.937

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.