Literature DB >> 18989039

An Omega(n2/ log n) speed-up of TBR heuristics for the gene-duplication problem.

Mukul S Bansal1, Oliver Eulenstein.   

Abstract

The gene-duplication problem is to infer a species supertree from gene trees that are confounded by complex histories of gene duplications. This problem is NP-hard and thus requires efficient and effective heuristics. Existing heuristics perform a stepwise search of the tree space, where each step is guided by an exact solution to an instance of a local search problem. We improve on the time complexity of the local search problem by a factor of n2= log n, where n is the size of the resulting species supertree. Typically, several thousand instances of the local search problem are solved throughout a stepwise heuristic search. Hence, our improvement makes the gene-duplication problem much more tractable for large-scale phylogenetic analyses.

Mesh:

Year:  2008        PMID: 18989039     DOI: 10.1109/TCBB.2008.69

Source DB:  PubMed          Journal:  IEEE/ACM Trans Comput Biol Bioinform        ISSN: 1545-5963            Impact factor:   3.710


  2 in total

1.  Robinson-Foulds supertrees.

Authors:  Mukul S Bansal; J Gordon Burleigh; Oliver Eulenstein; David Fernández-Baca
Journal:  Algorithms Mol Biol       Date:  2010-02-24       Impact factor: 1.405

2.  Efficient genome-scale phylogenetic analysis under the duplication-loss and deep coalescence cost models.

Authors:  Mukul S Bansal; J Gordon Burleigh; Oliver Eulenstein
Journal:  BMC Bioinformatics       Date:  2010-01-18       Impact factor: 3.169

  2 in total

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