Literature DB >> 18324744

Computing the all-pairs quartet distance on a set of evolutionary trees.

M Stissing1, T Mailund, C N S Pedersen, G S Brodal, R Fagerberg.   

Abstract

We present two algorithms for calculating the quartet distance between all pairs of trees in a set of binary evolutionary trees on a common set of species. The algorithms exploit common substructure among the trees to speed up the pairwise distance calculations, thus performing significantly better on large sets of trees compared to performing distinct pairwise distance calculations, as we illustrate experimentally, where we see a speedup factor of around 130 in the best case.

Mesh:

Year:  2008        PMID: 18324744     DOI: 10.1142/s0219720008003266

Source DB:  PubMed          Journal:  J Bioinform Comput Biol        ISSN: 0219-7200            Impact factor:   1.122


  2 in total

1.  A practical O(n log2 n) time algorithm for computing the triplet distance on binary trees.

Authors:  Andreas Sand; Gerth Stølting Brodal; Rolf Fagerberg; Christian N S Pedersen; Thomas Mailund
Journal:  BMC Bioinformatics       Date:  2013-01-21       Impact factor: 3.169

2.  Selecting informative subsets of sparse supermatrices increases the chance to find correct trees.

Authors:  Bernhard Misof; Benjamin Meyer; Björn Marcus von Reumont; Patrick Kück; Katharina Misof; Karen Meusemann
Journal:  BMC Bioinformatics       Date:  2013-12-03       Impact factor: 3.169

  2 in total

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