A Collapsing Method for Efficient Recovery of Optimal Edges in Phylogenetic Trees

نویسنده

  • Michael Hu
چکیده

In this thesis we present a novel algorithm, HyperCleaning∗ for effectively inferring phylogenetic trees. The method is based on the quartet method paradigm and is guaranteed to recover the best supported edges of the underlying phylogeny based on the witness quartet set. This is performed efficiently using a collapsing mechanism that employs memory/time tradeoff to ensure no loss of information. This enables HyperCleaning∗ to solve the relaxed version of the Maximum-Quartet-Consistency problem feasibly, thus providing a valuable tool for inferring phylogenies using quartet based analysis.

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A Collapsing Method for the Efficient Recovery of Optimal Edges in Phylogenetic Trees

As the amount of sequencing efforts and genomic data volume continue to increase at an accelerated rate, phylogenetic analysis provides an evolutionary context for understanding and interpreting this growing set of complex data. We introduce a novel quartet based method for inferring molecular based phylogeny called hypercleaning* (HC). The HC method is based on the hypercleaning (HC) technique...

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تاریخ انتشار 2002