In this project, we develop the methodologies for reconstructing and evaluating phylogenetic networks, which are the graphical models of sequence evolution when events such as horizontal gene transfer, recombination, and hybrid speciation occur.

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In this project, we develop and implement graph-theoretic algorithmic techniques for generating accurate hypotheses about biological signaling networks, particularly in the context of knock-out experimental data.

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In this project, we develop the methodologies for analyzing haplotype data, reconstructing and evaluating ancestral recombination graphs, and infer multi-locus genontype-phenotype associations.

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