Spectral cluster supertree: fast and statistically robust merging of rooted phylogenetic trees.

ABSTRACT: The algorithms for phylogenetic reconstruction are central to computational molecular evolution. The relentless pace of data acquisition has exposed their poor scalability and the conclusion that the conventional application of these methods is impractical and not justifiable from an energy usage perspective. Furthermore, the drive to improve the statistical performance of phylogenetic methods produces increasingly parameter-rich models of sequence evolution, which worsens the computational performance. Established theoretical and algorithmic results identify supertree methods as critical to divide-and-conquer strategies for improving scalability of phylogenetic reconstruction. Of particular importance is the ability to explicitly accommodate rooted topologies. These can arise from the mor

SUBMITTER: McArthur RN 

PROVIDER: S-EPMC11561713 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature