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NANUQ+: A divide-and-conquer approach to network estimation

Research output: Contribution to journalArticlepeer-review

Abstract

Inference of a species network from genomic data remains a difficult problem, with recent progress mostly limited to the level-1 case. However, inference of the Tree of Blobs of a network, showing only the network’s cut edges, can be performed for any network by TINNiK, suggesting a divide-and-conquer approach to network inference where the tree’s multifurcations are individually resolved to give more detailed structure. Here we develop a method, NANUQ+, to quickly perform such a level-1 resolution. Viewed as part of the NANUQ pipeline for fast level-1 inference, this gives tools for both understanding when the level-1 assumption is likely to be met and for exploring all highly-supported resolutions to cycles.

Original languageEnglish (US)
Article number14
JournalAlgorithms for Molecular Biology
Volume20
Issue number1
DOIs
StatePublished - Dec 2025

All Science Journal Classification (ASJC) codes

  • Structural Biology
  • Molecular Biology
  • Computational Theory and Mathematics
  • Applied Mathematics

Keywords

  • Level-1
  • Multispecies coalescent
  • Phylogenetic network
  • Tree of blobs

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