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  1. Article

    Open Access

    Consensus properties for the deep coalescence problem and their application for scalable tree search

    To infer a species phylogeny from unlinked genes, phylogenetic inference methods must confront the biological processes that create incongruence between gene trees and the species phylogeny. Intra-specific gen...

    Harris T Lin, J Gordon Burleigh, Oliver Eulenstein in BMC Bioinformatics (2012)

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  2. No Access

    Chapter and Conference Paper

    The Deep Coalescence Consensus Tree Problem is Pareto on Clusters

    Phylogenetic methods must account for the biological processes that create incongruence between gene trees and the species phylogeny. Deep coalescence, or incomplete lineage sorting creates discord among gene ...

    Harris T. Lin, J. Gordon Burleigh… in Bioinformatics Research and Applications (2011)

  3. Chapter and Conference Paper

    Learning Relational Bayesian Classifiers from RDF Data

    The increasing availability of large RDF datasets offers an exciting opportunity to use such data to build predictive models using machine learning algorithms. However, the massive size and distributed nature ...

    Harris T. Lin, Neeraj Koul, Vasant Honavar in The Semantic Web – ISWC 2011 (2011)

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  4. Article

    Open Access

    Triplet supertree heuristics for the tree of life

    There is much interest in develo** fast and accurate supertree methods to infer the tree of life. Supertree methods combine smaller input trees with overlap** sets of taxa to make a comprehensive phylogene...

    Harris T Lin, J Gordon Burleigh, Oliver Eulenstein in BMC Bioinformatics (2009)

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