Author
University of Wisconsin–MadisonORCID 0000-0002-5882-2109Unclaimed ORCID profile · follow to get notified of new preprints
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3 papers
Recent·Most cited
Nathan Kolbow, Sungsik Kong, Tyler K. Chafin…·Claudia Solís‐Lemus
SNaQ.jl improves scalability for phylogenetic network inference by enhancing computational efficiency without altering method accuracy.
Nathan Kolbow, Sungsik Kong, Claudia Solís‐Lemus
This paper introduces InPhyNet, a method for scalable phylogenetic network inference that merges level-1 networks to achieve linear scalability and high accuracy.
Sungsik Kong, Laura Salter Kubatko
The paper evaluates four methods for detecting hybridization using simulated genomic data, finding HyDe and D-statistic have high detection power but HyDe provides more accurate estimates of parental contributions.